|
|
Absolute deviation, 绝对离差
% Q0 d& G8 g- m5 d7 S, S' R% xAbsolute number, 绝对数" O' j; c; O6 u
Absolute residuals, 绝对残差
- a& o9 t# ~$ n. Y- LAcceleration array, 加速度立体阵! _( V" L; z6 X( s5 ^, X+ i$ ~. n
Acceleration in an arbitrary direction, 任意方向上的加速度
9 R$ J7 M% u9 ]/ s# c8 ]Acceleration normal, 法向加速度
$ E; |, Z6 z/ }" oAcceleration space dimension, 加速度空间的维数* R# l" ^5 x* x& P# d
Acceleration tangential, 切向加速度8 M- U0 z( L8 f6 B' \& j" w2 ?
Acceleration vector, 加速度向量
], B0 j+ Z" ~Acceptable hypothesis, 可接受假设
6 C0 C4 d, n" @5 l9 w- aAccumulation, 累积5 S$ y# g* p$ j8 g$ m2 q
Accuracy, 准确度
9 \. X% y- V5 o4 ~6 Y2 {. [Actual frequency, 实际频数) E% J8 c2 A6 g3 R# A6 M3 U8 a
Adaptive estimator, 自适应估计量2 ]. f& N! r' K$ n
Addition, 相加
! k3 x' h0 c% y) A, ~Addition theorem, 加法定理: I( ~! C; |& a+ G% f+ U
Additivity, 可加性& m1 y0 t! g2 E
Adjusted rate, 调整率. M# y: u3 _: a4 @8 E
Adjusted value, 校正值
( x" B& N8 {( Y1 X, Y5 z; fAdmissible error, 容许误差
- O0 }8 a0 G7 C X) }4 IAggregation, 聚集性! t6 ]: B# ~) o8 k0 x
Alternative hypothesis, 备择假设
* p/ v+ \- w- P2 lAmong groups, 组间1 I5 V( d) `# ^9 p! C
Amounts, 总量. q- h5 }: U4 H$ F
Analysis of correlation, 相关分析# N( X8 z( q4 D+ U" V7 t
Analysis of covariance, 协方差分析, c5 F, _( ~5 B6 ~
Analysis of regression, 回归分析0 i3 `# P+ v5 O' G
Analysis of time series, 时间序列分析! r* E4 N. l! x1 o
Analysis of variance, 方差分析
# T; y1 R1 {5 _1 z/ ?# \, WAngular transformation, 角转换3 E" ~0 S! K5 H/ i5 Q
ANOVA (analysis of variance), 方差分析/ K/ @: {# O }/ C8 M2 p/ I
ANOVA Models, 方差分析模型" J! p) @3 b% ?; K0 j
Arcing, 弧/弧旋
, O2 I" _2 `: K) Y' V/ @& QArcsine transformation, 反正弦变换5 U4 X W& r5 g: M, @
Area under the curve, 曲线面积4 Y3 M# Q# C7 R3 t- C+ N$ V$ ^4 _: p
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
{8 S6 ?0 h( P1 Y% t* P& ~( N' TARIMA, 季节和非季节性单变量模型的极大似然估计 5 w# z1 y4 |3 j, C- e4 E$ l. I7 ~
Arithmetic grid paper, 算术格纸* r8 ]7 J# B# ~
Arithmetic mean, 算术平均数
3 m5 q$ U" e+ ]4 h1 C. W OArrhenius relation, 艾恩尼斯关系0 c7 m) t1 @% c3 p# R$ n
Assessing fit, 拟合的评估
, Y3 W+ Q- m; N" xAssociative laws, 结合律
8 ?6 m: n: e8 H& ^ l. XAsymmetric distribution, 非对称分布
1 m/ b: { L" P7 `8 ~Asymptotic bias, 渐近偏倚
. A% ~# T9 f* f4 G8 B4 d8 NAsymptotic efficiency, 渐近效率/ [7 O6 \, f% |# U3 {2 N* T# ^; _2 b( i
Asymptotic variance, 渐近方差+ h6 l6 P' n* R1 |1 b3 x9 n
Attributable risk, 归因危险度' p2 A; e. s& k( h3 w$ { `' N
Attribute data, 属性资料
) V6 ]) d- U5 ~1 Q. o# u* CAttribution, 属性
0 c) W7 x# G- H2 n7 a' b6 [Autocorrelation, 自相关
2 F& e' E( r) O% o0 R+ {Autocorrelation of residuals, 残差的自相关7 p e" u6 Q& A
Average, 平均数4 q3 c, A) ? Y+ Q* t' R! o' l
Average confidence interval length, 平均置信区间长度( `$ A/ e# z7 d8 O
Average growth rate, 平均增长率 r: ]3 j5 A( J3 e% j7 @# X' @
Bar chart, 条形图1 y/ Q& g9 h* x h- q* |
Bar graph, 条形图( V) u- v, ]# j7 `6 u& M3 A0 C
Base period, 基期
" n5 R' J$ M! NBayes' theorem , Bayes定理9 m$ [- y& w- K# ^5 Y, f
Bell-shaped curve, 钟形曲线: H* m/ n9 G3 t( R2 u
Bernoulli distribution, 伯努力分布7 R- s7 W2 s& o5 }8 @5 W
Best-trim estimator, 最好切尾估计量
_- T8 @, f, v" i9 F" A+ EBias, 偏性/ C0 o J/ p9 a; f; F4 B
Binary logistic regression, 二元逻辑斯蒂回归, o1 Q. v- D4 S) |, t
Binomial distribution, 二项分布
, L% a! z7 s- p' a. Z) SBisquare, 双平方
# W2 D% X1 Y; t" J! Y1 z8 G# GBivariate Correlate, 二变量相关+ \+ V( F: `4 U+ d/ g. O. }/ N, [
Bivariate normal distribution, 双变量正态分布
- E; c/ B8 O: c" q f6 s* h0 F' O. HBivariate normal population, 双变量正态总体
* ~' e, f9 c1 w* y% A5 qBiweight interval, 双权区间
9 D# d" k/ l7 gBiweight M-estimator, 双权M估计量
5 A1 t. _+ B6 ^4 RBlock, 区组/配伍组) u( s( H7 e! u) m0 h
BMDP(Biomedical computer programs), BMDP统计软件包
6 Z& n2 i; G( m* {Boxplots, 箱线图/箱尾图$ ~' g! ]) {( b% p# |+ x3 E
Breakdown bound, 崩溃界/崩溃点
! }9 W: p; I& z% UCanonical correlation, 典型相关1 D0 o" B2 `) a
Caption, 纵标目' F; x; S* ?$ k. y s: z7 R8 ^
Case-control study, 病例对照研究) y* \1 g2 F% [' m2 O
Categorical variable, 分类变量
: N' ~8 b% Z" B4 C1 ~5 D' ^& U& nCatenary, 悬链线
9 o6 D5 i) c1 G. }) g g; I0 i+ e) W% YCauchy distribution, 柯西分布; q$ ]1 `7 P6 q& r/ ^
Cause-and-effect relationship, 因果关系
* X% A. F$ r, K* I' A- yCell, 单元 i& ? j; R) ^# O
Censoring, 终检: K' `1 Z) l$ W% b: L# f
Center of symmetry, 对称中心$ J7 u1 J' x1 y `2 B
Centering and scaling, 中心化和定标' W' L1 y" m: v4 a8 a8 t( I7 m
Central tendency, 集中趋势
. C/ P( b/ ~$ w0 p. \+ L; xCentral value, 中心值
+ p) c: e1 y' T5 @: s% ECHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- t% F: k% ^7 H1 D4 G B( D
Chance, 机遇
1 L; }2 x- y$ p. SChance error, 随机误差6 q0 m7 `/ z# s' P+ }1 v
Chance variable, 随机变量
7 |6 d/ K Y) Y3 G+ y: ^Characteristic equation, 特征方程
' y, f4 G7 T- U+ dCharacteristic root, 特征根
3 l, ~3 F! J8 jCharacteristic vector, 特征向量
# B8 {8 E, \9 `& T$ B6 ]Chebshev criterion of fit, 拟合的切比雪夫准则
/ }/ P3 Y8 g; I6 fChernoff faces, 切尔诺夫脸谱图
' w3 f( y1 g5 }( k/ U2 f s" `Chi-square test, 卡方检验/χ2检验$ l- k3 C. k4 j {% ~+ O+ ~* h
Choleskey decomposition, 乔洛斯基分解
& Y$ [4 g3 g( L2 R5 l- RCircle chart, 圆图
+ ~. n ]2 ?4 wClass interval, 组距
" x, d; W- ?# @, ]/ J! c: f6 fClass mid-value, 组中值
9 [; G& P% w1 BClass upper limit, 组上限4 |, Y. i2 r+ ]+ G
Classified variable, 分类变量
5 I4 a# {" s" m. aCluster analysis, 聚类分析
1 Y* L- _3 O s6 k3 wCluster sampling, 整群抽样
+ X, T) J9 ~! `! f* `! SCode, 代码
. U0 ]7 n n6 n2 F) w) FCoded data, 编码数据) v; T5 A1 U' \3 b, o8 W
Coding, 编码+ o+ c A" f1 Q# S
Coefficient of contingency, 列联系数
9 Y: c3 \% j' p, Z. vCoefficient of determination, 决定系数
& ]3 y, J' V* {9 E% ]8 PCoefficient of multiple correlation, 多重相关系数# N$ d) w% a) j: R0 ?& |! m
Coefficient of partial correlation, 偏相关系数6 b8 k6 r* n5 Y3 k0 s
Coefficient of production-moment correlation, 积差相关系数
$ F- g/ F' T3 f' UCoefficient of rank correlation, 等级相关系数
" X- Q" J7 b# `) oCoefficient of regression, 回归系数4 d* B2 R% ?8 p& D7 U
Coefficient of skewness, 偏度系数2 o# y" N' y( x+ t5 j: }0 T
Coefficient of variation, 变异系数7 ^* S( ]0 B) g5 [7 M
Cohort study, 队列研究, d- [5 d3 i Z$ ^ B3 a# X
Column, 列
3 n9 \' s% I6 [" V& kColumn effect, 列效应5 N, _0 m7 B G, L$ h% M: Y/ r% _
Column factor, 列因素1 c7 @. P9 B- `2 V
Combination pool, 合并
1 Y# o. M$ e0 [: ~3 FCombinative table, 组合表
7 _# K+ h* m k" uCommon factor, 共性因子
$ v' P+ |( m SCommon regression coefficient, 公共回归系数
0 l8 H8 j% p9 Q/ k( v# \; HCommon value, 共同值4 R- m) C, O, Z
Common variance, 公共方差/ u2 L7 \' T/ t0 c" `; g d
Common variation, 公共变异6 v) y& r; s& j6 E* I
Communality variance, 共性方差" g T4 V4 E$ a1 x+ F! _) ]
Comparability, 可比性4 H: u' ^5 {8 o0 i7 Q5 w, o
Comparison of bathes, 批比较
; D; T1 z, Q( Q+ DComparison value, 比较值" T/ h4 d0 J2 h h7 @' m. ?
Compartment model, 分部模型: H7 C2 V. U0 b& |& h
Compassion, 伸缩 ], |: F6 i1 K" |
Complement of an event, 补事件
! d# ?9 U1 J! m# u: f, A/ PComplete association, 完全正相关9 Q- Z$ ^% H0 V5 A
Complete dissociation, 完全不相关
7 e8 q8 |5 T1 X' t6 K+ ?Complete statistics, 完备统计量: k7 ^% s% V- g) a9 r: ]7 }
Completely randomized design, 完全随机化设计
! U: l9 x% d3 RComposite event, 联合事件
5 f, V! u& J2 r b `6 M6 `+ HComposite events, 复合事件" ] y- Q4 U6 s9 T5 W$ T
Concavity, 凹性
" R$ U* [! E' N" i0 FConditional expectation, 条件期望( a1 O, n8 B3 u+ Q
Conditional likelihood, 条件似然( B: B2 D- ~* l$ }/ Q6 Q+ N1 q7 m
Conditional probability, 条件概率' n$ v ?" E- N, ]; ]2 x
Conditionally linear, 依条件线性
: Z, P% Z+ f4 e% v- p! X: JConfidence interval, 置信区间
& T& N' N7 _0 T: M" ~Confidence limit, 置信限 r+ t, i- ` W' u5 S9 F1 {
Confidence lower limit, 置信下限
) e, O6 u, [' K+ n1 C. }Confidence upper limit, 置信上限
0 O% N' ^8 B" [# ]! h5 yConfirmatory Factor Analysis , 验证性因子分析, w1 B `! F5 w7 |) t% W
Confirmatory research, 证实性实验研究
, j5 q3 F# }4 n2 UConfounding factor, 混杂因素8 s# ?6 i% y# u7 f- X( H0 o+ s9 Q
Conjoint, 联合分析( P. }7 h: B) e' x V+ I
Consistency, 相合性# Z/ I; Z5 S) Z
Consistency check, 一致性检验0 O: E# x6 k7 W# T" |5 A
Consistent asymptotically normal estimate, 相合渐近正态估计: I8 ~1 N$ F1 ~4 U
Consistent estimate, 相合估计
/ y" v+ k- R. ?7 V" G. r% x( \Constrained nonlinear regression, 受约束非线性回归
! D! B% Y" T- G3 }1 W* U9 ]" W" @Constraint, 约束
; I9 @1 j; ~/ D: g2 jContaminated distribution, 污染分布
5 f1 ]1 X4 ^+ N0 K! h# oContaminated Gausssian, 污染高斯分布
9 m0 L0 Y5 B9 LContaminated normal distribution, 污染正态分布" K9 e! n# b) a6 f' Z6 J% O' X. c8 C
Contamination, 污染: D! r8 r: k" P0 R) H& c( }* {
Contamination model, 污染模型" _$ t5 f$ b% |$ j7 [
Contingency table, 列联表3 p% X# x3 P! B9 P1 M
Contour, 边界线
* s5 G: e* G* |2 jContribution rate, 贡献率8 e8 ` h7 J# ^
Control, 对照* r4 t" z2 x0 U/ c* e7 n
Controlled experiments, 对照实验
+ J" u4 ^3 l3 ?7 B( R+ P1 qConventional depth, 常规深度
7 q1 n6 Q( T7 J8 U% ^Convolution, 卷积- B- Z( \! E) m! Y
Corrected factor, 校正因子
9 p& c' c9 H3 @; J6 FCorrected mean, 校正均值
/ D$ m1 d& w5 n! j' X7 @' @! H2 j$ ?4 aCorrection coefficient, 校正系数6 b Y; V0 e2 I
Correctness, 正确性/ T% g* s0 B; Z0 h+ R
Correlation coefficient, 相关系数. y% S u9 @2 U) Z$ p
Correlation index, 相关指数
8 m$ F$ c2 A* Y4 D) |Correspondence, 对应! g0 w; k* I+ q' f! ^: s
Counting, 计数6 f( O8 T% ?9 r
Counts, 计数/频数% U0 |! E5 k/ f2 S
Covariance, 协方差* |9 o8 b- D9 a- s
Covariant, 共变 3 T$ e W- a& }- s; y7 n
Cox Regression, Cox回归
; U5 v3 T+ A; W3 A$ JCriteria for fitting, 拟合准则$ G6 R4 |! E) L2 K8 @+ |
Criteria of least squares, 最小二乘准则/ C0 @* a$ u8 N- W* M7 D
Critical ratio, 临界比( n( f0 `% K% s
Critical region, 拒绝域- A* s. ?" r: I4 D, }
Critical value, 临界值
; r8 I- _! v' s" q' jCross-over design, 交叉设计+ i# u" N, f2 h3 _
Cross-section analysis, 横断面分析
6 p" h2 [, X9 VCross-section survey, 横断面调查7 H6 \" ?# u/ R) M$ L" Y- v
Crosstabs , 交叉表
/ v) K' O8 I; p/ ACross-tabulation table, 复合表
$ j& `+ f& S: e! E( }( x( ZCube root, 立方根! R/ p x+ @) Q4 p% s) d" J) t. c
Cumulative distribution function, 分布函数
5 G) i7 Q1 }4 t7 GCumulative probability, 累计概率) s6 x9 `9 z. q+ M) q; m/ J
Curvature, 曲率/弯曲# l, \* T3 t/ a% Y# D9 t& U3 t
Curvature, 曲率) d1 _# q! |6 J( a* A6 Q
Curve fit , 曲线拟和
% M& ?9 L2 f3 jCurve fitting, 曲线拟合
) y/ \" a3 l% A7 z1 v# hCurvilinear regression, 曲线回归
" I( _ Y# b4 FCurvilinear relation, 曲线关系
- i* x% d! B& {2 a6 N" N6 _. cCut-and-try method, 尝试法( D$ e0 X2 f! O* N; b# S
Cycle, 周期
6 c$ X& Q1 y( s$ lCyclist, 周期性
" z4 Y5 V9 s9 M, d" FD test, D检验9 E# A( S& n! A9 c
Data acquisition, 资料收集5 v2 s0 V0 J# L3 y; r
Data bank, 数据库
3 z8 n! n. r3 V" T3 g& h& gData capacity, 数据容量
, {2 ^+ Q9 B1 p1 o i2 vData deficiencies, 数据缺乏, z1 K2 T% f i4 `, @
Data handling, 数据处理' Q3 l8 l" s- r# e8 \6 x6 @0 k
Data manipulation, 数据处理
" }" I3 Q3 ~2 u$ DData processing, 数据处理
5 a5 m3 J) y4 R, p. Z8 w1 M0 v! A& I+ sData reduction, 数据缩减7 e: {8 e+ h: `* d0 R
Data set, 数据集
$ h) [( _, I: z) O: w( T. oData sources, 数据来源& ?1 \# i s6 V
Data transformation, 数据变换! G+ b6 E8 K, X& ~
Data validity, 数据有效性
- `* |" n& _1 |. OData-in, 数据输入; t" d0 O, g6 ^/ h3 y
Data-out, 数据输出
' d) j; e/ x9 c: ~- r0 DDead time, 停滞期+ m! F5 U, t" n
Degree of freedom, 自由度
: v/ U$ [. ]9 O8 F1 n2 uDegree of precision, 精密度. n' d$ ]3 X- s, G6 _! ^
Degree of reliability, 可靠性程度
) H. k" H% H% f. T# J% o4 Y4 u* iDegression, 递减( f2 ^7 A* ]2 f% y; L& X/ J: F
Density function, 密度函数: n" a) s& f6 j% | `* @ I
Density of data points, 数据点的密度
& h3 T5 s, S! T7 s. W# B# ]# IDependent variable, 应变量/依变量/因变量
2 _: g& ^( L; e5 t" s& cDependent variable, 因变量9 A& }1 _9 n( s- s
Depth, 深度
2 A) S& R5 [& k/ z, }% [5 ODerivative matrix, 导数矩阵
! E! ^1 _/ V1 z, {0 ZDerivative-free methods, 无导数方法9 F; h6 U, p2 m7 Z) R' `4 V
Design, 设计) f: T& e+ R# B1 n) p( H/ t
Determinacy, 确定性
$ {+ T) |* q/ R8 V( b. ODeterminant, 行列式
9 h" `3 U7 w# C' v" l( D3 } s: }6 PDeterminant, 决定因素6 \ C: {" i2 _) G! T8 o* b$ I7 e
Deviation, 离差9 m% w2 e" T/ z
Deviation from average, 离均差
+ I0 H6 }5 [7 y% e- F0 KDiagnostic plot, 诊断图
- D7 Q% o7 j" t* RDichotomous variable, 二分变量
- ~$ T+ Q' t ]; \) O; M; t3 NDifferential equation, 微分方程
+ A, o5 w Y1 ]Direct standardization, 直接标准化法. D4 s, H9 X! g
Discrete variable, 离散型变量/ t5 x* P$ M' l* A
DISCRIMINANT, 判断 : Q$ v5 v: M& P6 p6 P
Discriminant analysis, 判别分析
2 E0 J: m8 E" ?8 M WDiscriminant coefficient, 判别系数 {5 R) M+ ~* X+ B/ A& @
Discriminant function, 判别值0 J/ [% I8 o, Q- e! V/ y
Dispersion, 散布/分散度
& t- r: ?& t3 s9 e2 g$ aDisproportional, 不成比例的; ^5 X# K: \- X! j0 u4 O* x7 c* e
Disproportionate sub-class numbers, 不成比例次级组含量9 D( q h7 A+ y% R
Distribution free, 分布无关性/免分布
$ x) m' ?6 i6 y/ oDistribution shape, 分布形状
7 s3 L* q8 B' T. WDistribution-free method, 任意分布法7 |( D4 m% w9 l3 i0 U
Distributive laws, 分配律" _# z4 \9 }( ^ l8 j+ O9 ]7 e. @
Disturbance, 随机扰动项
8 J. O# f, w, j0 p- hDose response curve, 剂量反应曲线; T( e8 P, p/ V W9 h$ E3 ?* ~4 K
Double blind method, 双盲法
" @1 s* F0 L2 ]! p7 r8 r0 Z& d7 n2 jDouble blind trial, 双盲试验2 W2 W3 \. }* R3 p, c
Double exponential distribution, 双指数分布
1 L1 u. {7 U7 m% E( P# p/ sDouble logarithmic, 双对数8 `! |6 }: {5 R8 O Q5 b* `: O' }
Downward rank, 降秩. ?; y9 a3 N% m. \1 o0 z: F
Dual-space plot, 对偶空间图
6 Z. b* z) w7 k6 C0 xDUD, 无导数方法- h: d2 @2 Q' o* u- H- _& a; r8 U
Duncan's new multiple range method, 新复极差法/Duncan新法
' n0 B; Q/ `. C; p, LEffect, 实验效应
* F9 E' r, b* X3 l$ A' MEigenvalue, 特征值
* R8 ?1 d$ X$ ?8 `. ?3 K$ J8 ], VEigenvector, 特征向量
5 X' D9 l( D2 R7 q. h& UEllipse, 椭圆% s: y# K0 [3 l$ Q& _$ D- v
Empirical distribution, 经验分布
' q/ @% N* ]! U+ l* g w4 oEmpirical probability, 经验概率单位
4 E. G- w' I' D. `! L1 t3 wEnumeration data, 计数资料
9 F/ l1 ^) @2 |) w, c1 k$ qEqual sun-class number, 相等次级组含量
1 _ Y' W; f3 m" f1 b9 FEqually likely, 等可能: S8 @& C4 }$ }5 U
Equivariance, 同变性
6 E0 i5 n, {- iError, 误差/错误% Z) Z5 C' i5 A+ Y
Error of estimate, 估计误差4 s N# }( r- O# h% k& X% ^ y) J
Error type I, 第一类错误9 c, m/ k. Z9 y; S B- l
Error type II, 第二类错误9 v# V; H. ~: Q* x- j& N
Estimand, 被估量
, _+ q4 X% d6 }9 F4 v7 {Estimated error mean squares, 估计误差均方
/ {) I4 m) P8 \/ S8 C7 vEstimated error sum of squares, 估计误差平方和3 h% I/ o! R. Z+ T# N y) N
Euclidean distance, 欧式距离
/ q6 w, v1 e7 u, ^- KEvent, 事件
3 c/ {$ \0 S0 |: C- `Event, 事件( Y: b7 Q7 L# S. \9 Y* U0 U
Exceptional data point, 异常数据点
) T6 J) r8 x1 n2 e3 c- t3 |Expectation plane, 期望平面
) W' o# a% a8 T5 cExpectation surface, 期望曲面; {$ O8 A1 N3 D. x: \- W
Expected values, 期望值3 y" ^ `& K4 J' s. @9 g% O5 A
Experiment, 实验; i' Y$ C( ~2 ^' T$ d- ^9 {5 ]
Experimental sampling, 试验抽样4 w2 E9 n: H, a* m. t1 [
Experimental unit, 试验单位
$ f5 P& s. e# ?* Z' f4 w4 SExplanatory variable, 说明变量
1 \1 B( k! Y8 l( X( EExploratory data analysis, 探索性数据分析
( l) N5 `4 w h& l6 o lExplore Summarize, 探索-摘要
3 g" O- K9 i) Z% d# q! LExponential curve, 指数曲线
( x' ?% M5 B+ C' z$ v J# a4 hExponential growth, 指数式增长
J) R4 y- z- k' FEXSMOOTH, 指数平滑方法 7 W& m9 Z2 A. s" S% W
Extended fit, 扩充拟合" n9 z+ q: e. [& z7 }/ o
Extra parameter, 附加参数. ?) F2 l) ]& f6 `
Extrapolation, 外推法
7 E# M4 j, T% @/ ~* c, aExtreme observation, 末端观测值- h0 J3 ]+ v1 {; K6 i0 i w
Extremes, 极端值/极值/ U5 I2 L8 E8 I7 S( v- b6 t
F distribution, F分布0 e. T8 K4 x s% m5 A; i
F test, F检验1 }0 O4 Z$ S1 t& x9 P: Y
Factor, 因素/因子; G0 a; A& m! |5 D2 F) _: v
Factor analysis, 因子分析8 i) r- S4 ~: t; V
Factor Analysis, 因子分析8 h0 F: S! n# w+ Y& l; _
Factor score, 因子得分 ) r3 O" B: r6 `# u! u, P
Factorial, 阶乘% s1 r. z2 D) b( `% y+ G
Factorial design, 析因试验设计0 W6 H8 s0 z5 n
False negative, 假阴性
; {8 s9 e# G0 q0 CFalse negative error, 假阴性错误" t b; Y. `/ ^/ X
Family of distributions, 分布族
. N( W+ r2 y; a6 L* ~$ ~Family of estimators, 估计量族
2 @1 Z$ V: m: U% r3 S' \ s5 yFanning, 扇面
) G* y8 A- [' {3 R) a3 M. l7 o4 RFatality rate, 病死率
1 h4 D% Y6 j. ]7 t" G0 B9 KField investigation, 现场调查% r$ [7 g! W% ~ t9 R) Y% x
Field survey, 现场调查
$ k+ e- i9 X- L5 N$ f& fFinite population, 有限总体( m: y: f: o. }: m A& E# p
Finite-sample, 有限样本 |7 c ]( H$ E7 G' X6 y/ I: W
First derivative, 一阶导数2 F2 t* m# f! g U- T
First principal component, 第一主成分
# o% r |# w+ n+ h: GFirst quartile, 第一四分位数 [* a* o: M0 k3 U4 ~& f7 Z/ Z" j
Fisher information, 费雪信息量- k2 y: I8 J$ A- A. l
Fitted value, 拟合值
0 [; i. \( I1 [7 v" ?Fitting a curve, 曲线拟合 o" _9 T7 a1 u9 V7 [. w) e
Fixed base, 定基
+ R* A( p) a7 cFluctuation, 随机起伏
! V+ ~ Y( U" o: z3 `Forecast, 预测
* u* @$ n: c; @: a' dFour fold table, 四格表/ _' q/ n/ o# I4 A' r* F! Z
Fourth, 四分点/ C D" @* }" g/ [
Fraction blow, 左侧比率' b0 s7 t b6 {) n8 A$ }
Fractional error, 相对误差
9 r& I2 B! l0 vFrequency, 频率
9 q' W+ m; u3 w# g" ^6 GFrequency polygon, 频数多边图
( G& { f' x8 K& }' {5 w' UFrontier point, 界限点& P( K( K9 e1 o# B& w; y
Function relationship, 泛函关系
% e- A- S% _2 l1 P1 JGamma distribution, 伽玛分布/ ]$ m) ?' b. o5 @8 h/ D
Gauss increment, 高斯增量; i, p5 r0 B& n0 ?; M0 \
Gaussian distribution, 高斯分布/正态分布1 J+ F) n/ B+ }3 Q7 p
Gauss-Newton increment, 高斯-牛顿增量
& f3 R7 J' o* ~7 w% n0 e1 vGeneral census, 全面普查
2 _" g% V s8 r: ]: E+ vGENLOG (Generalized liner models), 广义线性模型 ' o! c4 x Z( E6 h* I
Geometric mean, 几何平均数
4 f; B8 [$ T- c* G0 a) I4 G CGini's mean difference, 基尼均差, x5 C% x% o( W/ Y5 D: Y
GLM (General liner models), 一般线性模型 + @& O( `8 }# [8 I1 K& G3 h( W
Goodness of fit, 拟和优度/配合度
6 d" ~1 O% i6 P# x6 qGradient of determinant, 行列式的梯度
& {" F+ z8 x* S& D5 }$ NGraeco-Latin square, 希腊拉丁方7 p9 E( { v# c/ H4 ~4 ^; H
Grand mean, 总均值- |$ M& |" i7 W0 g' ^( D5 t
Gross errors, 重大错误& B$ s, R% F9 K+ }; H9 V
Gross-error sensitivity, 大错敏感度" j7 q$ K$ r; z: K
Group averages, 分组平均; w, q$ f" ?4 `8 }4 i/ A3 }" |
Grouped data, 分组资料
! v; ^, s! r* m( b( T6 @Guessed mean, 假定平均数
' A1 W8 t; L' G- B8 \Half-life, 半衰期
6 ?' y3 m5 k" e- [' D$ l& C5 F* AHampel M-estimators, 汉佩尔M估计量) b; W+ R8 f! M1 `
Happenstance, 偶然事件
; {2 J) ?& A% q/ { u4 P# h2 i" `' `6 rHarmonic mean, 调和均数
: v/ `' V. A4 H2 nHazard function, 风险均数4 k. W' k8 y2 m3 |; K0 p+ e; Y
Hazard rate, 风险率7 \3 K( O H/ {+ l6 n, ]( v
Heading, 标目 i( \/ W+ Y# ]2 M( z
Heavy-tailed distribution, 重尾分布
6 _% H1 I6 e/ f! n! m$ IHessian array, 海森立体阵% ~, X( S1 P: O+ {) z0 r
Heterogeneity, 不同质
2 F7 a; t& Q( j9 ^Heterogeneity of variance, 方差不齐 8 w/ D! X0 g& f" U5 I, Q
Hierarchical classification, 组内分组# y2 @9 e, Q6 ^3 R& l1 }
Hierarchical clustering method, 系统聚类法1 V N! H; l4 j6 L/ }1 @
High-leverage point, 高杠杆率点
! e0 L5 b' Y+ \1 aHILOGLINEAR, 多维列联表的层次对数线性模型' M! n* b$ U/ z6 V& V
Hinge, 折叶点/ y0 p% R4 R' \
Histogram, 直方图# a# G, t5 ^. b% [' ?; Y9 |
Historical cohort study, 历史性队列研究
2 f+ R7 o) U) v7 k! qHoles, 空洞, D: J( Z6 Q, w) {' K: D, |
HOMALS, 多重响应分析
[3 o8 r; w6 R5 ~" H$ B* xHomogeneity of variance, 方差齐性8 X% v; `3 ]! L. ?+ X3 k
Homogeneity test, 齐性检验
# s9 W, g" N8 J! dHuber M-estimators, 休伯M估计量4 N2 W1 D' k% q' l
Hyperbola, 双曲线' Y; Y9 \$ Z: T) E/ v0 O1 \
Hypothesis testing, 假设检验
* m. Q' @7 ~2 f0 u! l( z$ fHypothetical universe, 假设总体3 R, _8 h4 ^3 G- _. I
Impossible event, 不可能事件
5 j! {1 g3 m$ a! z* I# @7 X4 L' ~1 w/ }Independence, 独立性
: V6 E1 }$ ?1 I3 AIndependent variable, 自变量8 |5 x- i) a% C- y" Z/ [0 `
Index, 指标/指数7 {+ G, d1 G4 v. L/ z3 O) o+ n
Indirect standardization, 间接标准化法
# x) f# t0 V- n J$ DIndividual, 个体4 u8 L' D; h1 }& {4 p. q; N
Inference band, 推断带
5 L3 ^& v( U! S) R. ]9 n+ bInfinite population, 无限总体7 p- c2 R: G" o! X4 N1 B
Infinitely great, 无穷大
( u5 P) }) T& u5 oInfinitely small, 无穷小
7 ?3 h ?( D" J% m$ A" {Influence curve, 影响曲线+ e; K! `; w5 `# M
Information capacity, 信息容量
6 V; h5 t9 Z& k+ ]Initial condition, 初始条件- f1 H% c' b# w+ _2 D0 g' i
Initial estimate, 初始估计值" d; i* l/ D9 T" Q
Initial level, 最初水平
7 q0 }/ Z1 W9 g8 J1 Q4 i* PInteraction, 交互作用$ E$ v3 E6 e% P' F
Interaction terms, 交互作用项
; J# ] I! q5 ]2 k* r( X6 ]Intercept, 截距
# \. o. g9 z: `- hInterpolation, 内插法$ ^/ [! b) k7 s+ u, V
Interquartile range, 四分位距% Q' [. R! x1 l1 E- g
Interval estimation, 区间估计
& m6 o* c$ C/ ], eIntervals of equal probability, 等概率区间
5 g" s/ Q) f6 n) q% PIntrinsic curvature, 固有曲率
, ~6 p6 X! t; @, K6 UInvariance, 不变性1 S" v0 q! u* P3 k! U e
Inverse matrix, 逆矩阵
3 n: C7 { z0 @Inverse probability, 逆概率& X1 S1 T) v8 p
Inverse sine transformation, 反正弦变换4 i4 x' C4 T# G9 m1 l1 H+ i) I
Iteration, 迭代 & R( |" r/ E' U0 {
Jacobian determinant, 雅可比行列式
( W8 H6 o& y0 MJoint distribution function, 分布函数
- r; Z+ y" V' BJoint probability, 联合概率
. _1 P% _# V: U$ O3 m UJoint probability distribution, 联合概率分布
R9 @9 L3 A R: ^) RK means method, 逐步聚类法- w* f8 B& L0 h+ m% C7 _. v. ~
Kaplan-Meier, 评估事件的时间长度
4 ]# J& Z& Y6 J2 n( @" ~Kaplan-Merier chart, Kaplan-Merier图
1 s$ S% Q4 ] t2 I# @4 K; C4 _2 Q( y- CKendall's rank correlation, Kendall等级相关
- \" z/ i# W: kKinetic, 动力学4 {0 K& t7 ]$ L" [
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
* }8 ~& A5 _. z. N# vKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验# e2 G6 b0 _) ^& ?2 |+ u9 ]4 ~* d
Kurtosis, 峰度* l/ p5 S8 |! w/ v4 R- T
Lack of fit, 失拟) C2 D+ Y5 ^- l6 L& v: w! R
Ladder of powers, 幂阶梯' v. |$ |/ [- N) K; P5 }
Lag, 滞后
8 z& }+ C4 B, k! t3 nLarge sample, 大样本
0 G+ n' }/ V% s6 _& jLarge sample test, 大样本检验
& G, j- h: t8 r/ v9 Y3 TLatin square, 拉丁方
. \5 H, e3 |0 W0 c2 zLatin square design, 拉丁方设计* h4 m6 o, v6 i$ g% t2 Z: B I: V
Leakage, 泄漏
7 B$ F. h7 E! y$ |- _& }0 B2 o# _Least favorable configuration, 最不利构形$ H W9 \1 T0 `* s' O% X; h
Least favorable distribution, 最不利分布
2 S3 f9 {# B8 q4 j# z8 LLeast significant difference, 最小显著差法' W6 y) ^7 e# w8 ]
Least square method, 最小二乘法- x. ^* o p7 T2 @$ U% v
Least-absolute-residuals estimates, 最小绝对残差估计
' v# @8 {7 P- D4 Q4 U9 [( ^Least-absolute-residuals fit, 最小绝对残差拟合1 o8 F' s- ^, l3 A4 u
Least-absolute-residuals line, 最小绝对残差线
$ l; g9 c2 L! n2 ^, xLegend, 图例
( _; M$ O h" ?- `; }L-estimator, L估计量
7 [8 x9 Z: r4 t, r7 BL-estimator of location, 位置L估计量3 f8 I6 _7 p1 b8 b7 B: i
L-estimator of scale, 尺度L估计量4 j; [: _# U/ f0 d7 A
Level, 水平
+ P# h- H8 K5 Y; e6 g& K* sLife expectance, 预期期望寿命
1 m5 t/ {: M% X% w, }1 kLife table, 寿命表
+ H9 w9 y( h9 b; MLife table method, 生命表法
* E7 C- }; s) u) Q: @; oLight-tailed distribution, 轻尾分布* t. K, W9 V0 \; q
Likelihood function, 似然函数$ r! @ _6 r' i- Y/ l* C
Likelihood ratio, 似然比
) T9 p) h. o$ x7 a" D. a* T7 Jline graph, 线图
' H3 q: Z1 I3 t" H6 I0 @+ oLinear correlation, 直线相关" E' O) x2 p1 J, k# ~5 e0 B
Linear equation, 线性方程
& t4 J. W9 F+ E7 D5 P7 K* r& C3 b% c, LLinear programming, 线性规划' I) @8 Y1 e" P' I6 b' T8 ~8 Q
Linear regression, 直线回归7 _% |5 R! K! k; B" a& K
Linear Regression, 线性回归. F9 f0 \. x5 e$ k6 j* ^
Linear trend, 线性趋势
, O$ e; B$ T" m8 X4 T: gLoading, 载荷
! r1 h' x2 V# D' a- R# a. E1 MLocation and scale equivariance, 位置尺度同变性
) I$ r2 k' ~6 } x3 {# K, MLocation equivariance, 位置同变性
/ D" }: O( A( h5 k( tLocation invariance, 位置不变性$ ^0 q/ @& `6 O% G7 D* \2 F: `
Location scale family, 位置尺度族
% U# D7 ?- w6 m1 U$ [! J4 N! XLog rank test, 时序检验
; R" x3 @5 X/ |/ HLogarithmic curve, 对数曲线4 X7 Y7 N' w3 k" h' B
Logarithmic normal distribution, 对数正态分布3 N: J, _% ?, c, X0 }
Logarithmic scale, 对数尺度
: ~0 E$ h6 n/ W& H; J* q1 FLogarithmic transformation, 对数变换
5 o Y' m6 R# E/ e) T! W% J5 zLogic check, 逻辑检查/ ?2 K. X6 K" M
Logistic distribution, 逻辑斯特分布
! K! @% e. T! O& lLogit transformation, Logit转换% ~' A% Y0 T" y1 b; i, r
LOGLINEAR, 多维列联表通用模型
* k! P3 f/ M: A$ B* {1 h* MLognormal distribution, 对数正态分布
- F+ A1 z' H4 D1 b9 _2 `Lost function, 损失函数
6 v9 F7 c9 ]+ D$ p# |6 O/ u/ U2 }. r! PLow correlation, 低度相关
/ Z" N" \7 Z! t9 v% F( ILower limit, 下限
" T' H# o) g; G# ~$ W. DLowest-attained variance, 最小可达方差: U8 b& M g1 r4 P3 l
LSD, 最小显著差法的简称
% K; z: R) K0 |+ @9 A5 ELurking variable, 潜在变量# U6 {1 v' f3 i5 _
Main effect, 主效应
+ f- \. j+ u4 G7 t& y$ iMajor heading, 主辞标目% ~; \" F! W# e* q+ _& G3 X: \% E0 _
Marginal density function, 边缘密度函数+ [% k8 z: l7 x2 w: L, t" g
Marginal probability, 边缘概率* b7 c5 R! u! a% `& A5 k6 }% T7 U
Marginal probability distribution, 边缘概率分布' l" u2 C4 F. O1 s. \/ `+ r
Matched data, 配对资料% R- i& n* ]' w( V
Matched distribution, 匹配过分布
2 v- B ~ A7 J5 ]0 m: D& _ ?: DMatching of distribution, 分布的匹配4 X) Q1 H. r# s4 B
Matching of transformation, 变换的匹配3 \/ S) a8 z: Q G
Mathematical expectation, 数学期望
; J7 V9 \) C3 n2 a' N) kMathematical model, 数学模型
# K3 k1 ]: n/ H6 W- M% D- q" p, _Maximum L-estimator, 极大极小L 估计量5 [6 f7 ^. @9 V
Maximum likelihood method, 最大似然法' {+ r9 `0 G' {; M2 j0 B
Mean, 均数
- k* L7 r, q. k' V; j1 PMean squares between groups, 组间均方
' D( }& `# i% V) D6 [ I1 k* ^Mean squares within group, 组内均方
5 D6 i0 P" ~5 R- zMeans (Compare means), 均值-均值比较, C# z3 L: Q2 N" o. m5 J2 {4 S
Median, 中位数+ ]7 n! |5 B/ m
Median effective dose, 半数效量$ D ?' G" w! z6 }# }: r% g1 m6 l( O
Median lethal dose, 半数致死量5 o" [1 z% V) \, v, w2 ? y
Median polish, 中位数平滑( l' `. V, V4 e) v9 g
Median test, 中位数检验2 G/ F* v, R, J( C4 Q2 c% Y
Minimal sufficient statistic, 最小充分统计量5 R8 [; v, H5 x0 e/ w% \
Minimum distance estimation, 最小距离估计
6 F# f* C+ ^/ y2 T+ KMinimum effective dose, 最小有效量 u4 ^5 \% w: y4 X9 Y% n
Minimum lethal dose, 最小致死量
& p3 T" c5 o+ j1 J+ xMinimum variance estimator, 最小方差估计量
3 z1 m; o& E8 k- Z$ a- W' y' WMINITAB, 统计软件包. v, Q2 x$ V# c H* }; D
Minor heading, 宾词标目' u& v( ], B, D6 F( v9 A5 m
Missing data, 缺失值
( Y- A8 T- t1 u# p0 U! IModel specification, 模型的确定5 B8 u5 P6 _/ E; j" H2 r* |+ q- f0 @
Modeling Statistics , 模型统计
7 c M" {; R/ \: h! R' ]Models for outliers, 离群值模型. A$ S% Q9 o# X& ]" W
Modifying the model, 模型的修正
% d L5 G/ d, ?- F& d% E% TModulus of continuity, 连续性模
3 i" G; r$ o- kMorbidity, 发病率 6 d! V6 j5 x# R
Most favorable configuration, 最有利构形 }3 |3 S& m9 Q% H, ^8 v* t$ ^3 V8 r
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
6 R/ q$ J: h# k) f) JMultinomial Logistic Regression , 多项逻辑斯蒂回归+ c: X" q/ A# R* ^4 u9 r
Multiple comparison, 多重比较 _% c) X% F" i* ~+ R. B8 W
Multiple correlation , 复相关
" B5 {' A# P& E; L8 W9 O' tMultiple covariance, 多元协方差/ `* `; s; W3 ?7 X9 y
Multiple linear regression, 多元线性回归7 ~$ ]- J1 x5 \
Multiple response , 多重选项+ K$ q# ]! Q7 Z8 J k0 M
Multiple solutions, 多解% ]% z8 r, O5 N8 V
Multiplication theorem, 乘法定理
1 j1 ?, \5 O; F: jMultiresponse, 多元响应
9 P( J: ^' {8 Y5 d: Y% z( B- EMulti-stage sampling, 多阶段抽样* R) l. z$ d6 o
Multivariate T distribution, 多元T分布( C. d( W* C8 i6 {. T
Mutual exclusive, 互不相容9 u! V: X) U+ E3 y! E6 F% I
Mutual independence, 互相独立
( M' ^7 p* h7 }, VNatural boundary, 自然边界
- s$ x" C4 P) G0 fNatural dead, 自然死亡: x7 ]2 [* l8 Q! I& B# K/ K
Natural zero, 自然零1 f! \0 D+ M7 u7 f& W, L
Negative correlation, 负相关/ p; L8 a6 V; m7 [
Negative linear correlation, 负线性相关0 h# q* }& w0 Y# Y$ t) [
Negatively skewed, 负偏
1 x: c& J! Q! rNewman-Keuls method, q检验
# z4 a5 T1 K( v* X8 RNK method, q检验
/ O0 w/ T& j# l9 l+ [No statistical significance, 无统计意义
; ~& f! f+ n: ^Nominal variable, 名义变量
# o* `+ Z7 w, D$ N0 WNonconstancy of variability, 变异的非定常性
2 l, s/ Q [% b, DNonlinear regression, 非线性相关& n) g' O e& {0 C( I* C
Nonparametric statistics, 非参数统计! l& K- C- d+ S6 T: I+ ~
Nonparametric test, 非参数检验
; G5 j! n1 q s9 M U: UNonparametric tests, 非参数检验
6 @& H( A( d* f" SNormal deviate, 正态离差
/ e8 v. J! T1 i6 x. K! kNormal distribution, 正态分布$ ^7 o2 k/ P' g8 @$ t
Normal equation, 正规方程组
+ I" ^; \/ _$ d5 D5 KNormal ranges, 正常范围4 O5 ]& d" Q9 G
Normal value, 正常值
6 J" D& r( ]" D$ ONuisance parameter, 多余参数/讨厌参数/ \# v' @5 A" ^' K
Null hypothesis, 无效假设
: L0 ~; J0 G# W4 P9 }: {0 E6 t3 d6 hNumerical variable, 数值变量
$ y; d& @7 B9 g0 \Objective function, 目标函数) P2 a, w6 g6 E2 S1 v& f4 p4 Z
Observation unit, 观察单位
. _/ W0 F; s6 N4 YObserved value, 观察值
! T1 D( u! h* K9 `! r; NOne sided test, 单侧检验
) @0 r& w5 @! a! T1 _One-way analysis of variance, 单因素方差分析 |. k0 \+ C" j/ u% t( u
Oneway ANOVA , 单因素方差分析% K& S4 R, ?2 V5 d4 Z
Open sequential trial, 开放型序贯设计
& D% n9 `! U$ \* [, O4 n- A2 ^8 \Optrim, 优切尾3 H' ] A$ v2 [0 }+ t& T) F* p
Optrim efficiency, 优切尾效率
' d7 z9 p) z/ ~Order statistics, 顺序统计量
& |5 F6 d9 i* X2 G5 \; ]1 r! POrdered categories, 有序分类2 y0 {* n+ F" {) V9 ^# Z& [
Ordinal logistic regression , 序数逻辑斯蒂回归
$ K6 _- `' [( `) N- {) ZOrdinal variable, 有序变量. W* b. v6 I. _; q, f$ \8 D
Orthogonal basis, 正交基$ v; a3 C6 p" C3 a
Orthogonal design, 正交试验设计5 }% J: E! b' [0 r0 K" {
Orthogonality conditions, 正交条件7 j2 _. S% L- B8 U
ORTHOPLAN, 正交设计 4 C+ r; P9 E: r/ j2 `* ~
Outlier cutoffs, 离群值截断点
) X0 H1 [/ E( rOutliers, 极端值; o& H' i, E- R! s' E5 ]3 Z/ [
OVERALS , 多组变量的非线性正规相关 + ^# E3 b# u+ f# e9 a
Overshoot, 迭代过度. p& z! y# }8 V
Paired design, 配对设计' Q Z' w5 u( [5 W/ I
Paired sample, 配对样本
3 M0 w: C1 \$ T6 E# zPairwise slopes, 成对斜率2 s* l' e8 x# z* T0 }! d- d
Parabola, 抛物线
# a. V( J- Z# ?, yParallel tests, 平行试验( _* i6 i$ @& o0 u! J1 R
Parameter, 参数) P& I5 C+ M$ O6 K" v% d9 ]
Parametric statistics, 参数统计
( s. @8 F- l( Z4 j, F/ [$ AParametric test, 参数检验: C8 v: M- Z; ?# D& {) I6 ~$ {
Partial correlation, 偏相关
! {4 R' ]4 u- Z" qPartial regression, 偏回归
. l* v" Q) q1 E# w/ Z, O; ~$ HPartial sorting, 偏排序& `) L0 a0 G; E; }: U
Partials residuals, 偏残差
8 p5 g8 ?0 X# W- PPattern, 模式
! W" P+ @" ]4 r7 D' rPearson curves, 皮尔逊曲线# g* r, |( _* K- O& f, w$ D. u
Peeling, 退层
: l2 {; z5 O8 A* i& HPercent bar graph, 百分条形图
]2 ]% n5 q5 ZPercentage, 百分比8 ]$ i3 F0 ?1 x" V6 C+ k- Q. r3 ]
Percentile, 百分位数0 v9 k$ v9 e( B7 o+ m
Percentile curves, 百分位曲线4 X1 S& K( G8 e/ u0 x, ~
Periodicity, 周期性
7 z( ~* i2 x- J: bPermutation, 排列7 M% U3 L7 Y$ ]- _3 \
P-estimator, P估计量
( v4 r- y3 p. ^6 N& UPie graph, 饼图
3 W4 Y6 s& B$ x# _7 r9 |Pitman estimator, 皮特曼估计量/ e& Q- u2 n6 n. l! ^7 `6 f" t! n- }
Pivot, 枢轴量4 b/ }, y5 G) z
Planar, 平坦
% {+ c1 N- ~9 Z' {" nPlanar assumption, 平面的假设, v9 @2 B. H% C; [
PLANCARDS, 生成试验的计划卡
" B' ]) \( \( a- G- BPoint estimation, 点估计
% ]- C; w) c' f$ hPoisson distribution, 泊松分布
. {8 f' R( n1 D k# R, v# mPolishing, 平滑
: h8 Z) o. `7 v8 w3 P% kPolled standard deviation, 合并标准差( U. H/ w2 j4 V/ S" C
Polled variance, 合并方差5 |9 r) {7 i+ N* y
Polygon, 多边图; @3 }9 F8 Q+ M9 e$ |1 ?' Q$ ~2 W
Polynomial, 多项式
) k3 z7 N& u) f* lPolynomial curve, 多项式曲线
) A0 S, Z8 ~3 l- ]' b1 F" ], KPopulation, 总体
7 \' Z0 x. ~* D* j9 h$ ^; s# D' bPopulation attributable risk, 人群归因危险度
, h1 g* j* ]" g8 u( x- g" q$ nPositive correlation, 正相关
3 I) w+ X7 c, o) n2 ?. a# J/ J- o/ k+ fPositively skewed, 正偏2 M" f8 F) d/ z2 _) C9 T) a
Posterior distribution, 后验分布
9 B5 ]6 {3 l$ f7 MPower of a test, 检验效能: e$ ]9 S3 ]" L' x9 a
Precision, 精密度
0 s! |- m3 l8 ]& S' rPredicted value, 预测值4 a6 ` V" H; `7 [7 S+ J
Preliminary analysis, 预备性分析
+ F/ P; T( _# b/ d, k1 a6 |Principal component analysis, 主成分分析: B/ |: a* m z% |
Prior distribution, 先验分布
7 z( w) N8 d3 \: nPrior probability, 先验概率
2 @1 M! F6 Q. l! U O* zProbabilistic model, 概率模型. q( h/ A$ Q6 i. i$ l( Q/ [- O
probability, 概率
$ [+ m+ O0 T& k! LProbability density, 概率密度9 a3 b9 z' y2 a' m1 F# k
Product moment, 乘积矩/协方差/ l* I; p8 _4 a2 E: o. E, Z6 ?
Profile trace, 截面迹图
. z! x+ n# m0 ^3 l# M- }) }' hProportion, 比/构成比 g4 e/ w& O, Q& v0 P ?
Proportion allocation in stratified random sampling, 按比例分层随机抽样
: U; N1 b0 |' e0 k* E4 y" |Proportionate, 成比例0 ~) D" W) ]2 U! J4 t* Q6 h
Proportionate sub-class numbers, 成比例次级组含量" O+ s/ i6 N4 s
Prospective study, 前瞻性调查
T h: {9 ?4 {: q) dProximities, 亲近性 + [0 L) @( \# l/ T2 M
Pseudo F test, 近似F检验5 ]. G w3 a1 O) J- `, P+ N- W
Pseudo model, 近似模型
% T6 ?( i5 o% t) `" t' lPseudosigma, 伪标准差- q. f1 f) Q; i) u8 A* @# U' s' p
Purposive sampling, 有目的抽样! L: R- d5 J! R: \ `) j v; H
QR decomposition, QR分解5 O. Q: t' Q1 H6 ]5 k; V0 H& T
Quadratic approximation, 二次近似* F& ~4 o' o: c1 x8 Q+ g
Qualitative classification, 属性分类9 q) }5 e1 m7 m: A2 Y2 Z
Qualitative method, 定性方法5 x" b' E; y8 g1 t+ U V
Quantile-quantile plot, 分位数-分位数图/Q-Q图/ \8 R* G0 c( M: L9 C9 p% Y; x
Quantitative analysis, 定量分析4 j+ c5 n9 Y$ _9 p. n# g4 h- [
Quartile, 四分位数
1 J; @5 x5 N4 H- ` E" \Quick Cluster, 快速聚类( N' M: n1 ^4 y; p D- M! }
Radix sort, 基数排序1 R2 x1 ^' x, K6 i2 [2 R# a
Random allocation, 随机化分组/ C& L' B1 I- F
Random blocks design, 随机区组设计
% a W0 J0 K; E! B% aRandom event, 随机事件
. ?6 s9 v, ]" ?) G1 X. {: ? u$ F! ~Randomization, 随机化$ H! b1 f& c; W9 |1 ]$ h- P/ H
Range, 极差/全距1 P3 G0 Z9 {# A/ g
Rank correlation, 等级相关, K4 C" a6 y. `- o$ E
Rank sum test, 秩和检验
- i- n+ X8 ^* Y3 O# BRank test, 秩检验% O# Y6 I7 d |# o7 O4 Y" I
Ranked data, 等级资料
' ^( L! O4 x; ^ p. x7 I# eRate, 比率5 j4 F* k% n! O' u
Ratio, 比例
9 J5 V3 F( g9 g/ ^Raw data, 原始资料. E% l: n) m2 K% Q5 T
Raw residual, 原始残差
/ |. C/ J( h2 M9 e1 G; w5 wRayleigh's test, 雷氏检验
0 ~: d7 `8 C* n3 z* a. Y' eRayleigh's Z, 雷氏Z值 ( W6 w; T' [4 T& `! X
Reciprocal, 倒数& O) R% q# B" C; a5 Y: s" B. E
Reciprocal transformation, 倒数变换
: I& N* o& g- U& L6 p& Z- `/ RRecording, 记录* x& g& {, z& I+ U4 l
Redescending estimators, 回降估计量$ v) ~" x; r6 W9 h7 P! I7 w6 t, M
Reducing dimensions, 降维# n. \6 h9 ^( a& C* {: q& _* u" q
Re-expression, 重新表达
. a g5 ]" _( G. f7 I$ Z! q- oReference set, 标准组 P" i1 o( `8 E) k
Region of acceptance, 接受域% D; u" G" C0 u3 \
Regression coefficient, 回归系数
. Y3 H. n6 p8 K LRegression sum of square, 回归平方和6 U( W0 K3 ^- j/ S) P. s( |- E
Rejection point, 拒绝点4 z3 X2 M, @1 ~1 M. W
Relative dispersion, 相对离散度# m* l; c7 b' B- L) A0 a' U) D
Relative number, 相对数
" a2 u; b1 T4 J! e. O$ m. R( I3 N& gReliability, 可靠性8 k" w: K ?) s1 Y& K4 b7 I& `8 U
Reparametrization, 重新设置参数/ ~ [4 f \& B8 V& ^. e
Replication, 重复, q. E# Y8 f( B! t
Report Summaries, 报告摘要
3 Q" ~' ]- W2 a& w8 O8 D( S: }& Q+ v* dResidual sum of square, 剩余平方和
0 Q% a8 E( G/ m; u; y4 U+ ?5 h- G8 F' |Resistance, 耐抗性8 T4 B0 K" u2 a# b5 `* M
Resistant line, 耐抗线
3 Y) N5 @1 _5 x4 J6 k8 y/ X* n5 uResistant technique, 耐抗技术, _, y- c$ _: t. o: { Q) K
R-estimator of location, 位置R估计量4 ]* F1 a' k# R4 v
R-estimator of scale, 尺度R估计量
+ k# B. s8 x7 u6 WRetrospective study, 回顾性调查
5 V. S% R9 N9 A# F- }5 \Ridge trace, 岭迹
+ G, Q9 C. s4 B& o5 ERidit analysis, Ridit分析
6 H/ i# T+ l! i6 @3 T; cRotation, 旋转
* c7 t2 ^7 F% W! p) Z3 T7 XRounding, 舍入
1 t5 f% m# n. z$ zRow, 行1 W& N) [; h$ `$ S& Z5 o
Row effects, 行效应5 s5 g0 o& ` g. v# Q0 G6 X, ~
Row factor, 行因素5 H/ m* f( P0 f: M, `' H
RXC table, RXC表
1 H0 u2 }4 t D9 b# b, zSample, 样本9 { Q2 B* K/ T, W6 z) u/ u
Sample regression coefficient, 样本回归系数
) S$ U: Z7 a3 C& u/ j9 ^) QSample size, 样本量
0 I# k# s3 D2 Z: d4 v& e, ESample standard deviation, 样本标准差
2 n) ]' y' i7 ]2 iSampling error, 抽样误差9 G1 o( k1 C+ ~
SAS(Statistical analysis system ), SAS统计软件包
+ F0 c1 W0 D6 X/ xScale, 尺度/量表
w/ s' f' m8 T( H, ZScatter diagram, 散点图
& \/ G3 E# b- `7 b+ Y R, n5 BSchematic plot, 示意图/简图+ C, N @8 h( X, _% L* M6 j7 G
Score test, 计分检验
7 h. s0 ?' i) ?( C6 FScreening, 筛检
3 @# c% G$ t- P) _" \SEASON, 季节分析
" R; f. O/ P% O9 u1 f k' ]# P- @Second derivative, 二阶导数
8 J, i" [2 \: O! K1 GSecond principal component, 第二主成分
" P( e) {5 v" f+ TSEM (Structural equation modeling), 结构化方程模型 ! L$ B: _) H0 l, d' h$ {$ O
Semi-logarithmic graph, 半对数图/ K" j& O- M- B
Semi-logarithmic paper, 半对数格纸- A% e! s! }4 w' g9 Q& u
Sensitivity curve, 敏感度曲线% z; @* r# c( s& U1 ^; i
Sequential analysis, 贯序分析5 p3 P) p& V' Y \
Sequential data set, 顺序数据集" p: n' V6 o4 a6 b# N# U
Sequential design, 贯序设计
$ t9 {5 `7 F; }7 eSequential method, 贯序法
4 g! L7 V1 s6 K' D% YSequential test, 贯序检验法
- S4 ~' Y6 ^1 ~1 t0 qSerial tests, 系列试验2 T7 G3 u5 o& _' N+ B! E2 x# x0 {
Short-cut method, 简捷法
# u: i- V) n0 c2 o7 P8 C+ ^1 SSigmoid curve, S形曲线' ^3 f9 ~2 `, E& S w
Sign function, 正负号函数! @9 R3 I& {+ k* t# C! G
Sign test, 符号检验0 q5 u, t9 p5 Q0 i. F
Signed rank, 符号秩9 f4 U% @6 g4 k- d5 p7 X L" T7 [
Significance test, 显著性检验" B% G: ~+ I# i) c1 b( \1 D
Significant figure, 有效数字
* p' y& r, |1 ^4 {Simple cluster sampling, 简单整群抽样7 I3 i) ?: d8 ^+ N/ ]" D- z+ ]- p$ _
Simple correlation, 简单相关
1 H. o8 J5 }/ W. V$ C0 f, |Simple random sampling, 简单随机抽样
* O- I4 H2 S* B9 w# W$ ^6 S. xSimple regression, 简单回归1 F4 B% r2 O" o, U+ W `( t
simple table, 简单表# m8 D, L9 E$ `7 I3 h* W& n
Sine estimator, 正弦估计量! R# u8 k0 o/ B/ f" \7 `
Single-valued estimate, 单值估计
, C7 `& ?8 d* O2 KSingular matrix, 奇异矩阵
4 [$ P7 G( W$ s. t& DSkewed distribution, 偏斜分布
1 k0 s5 C& i4 ^: e" ]! N" w4 M+ RSkewness, 偏度9 y9 k) } M2 m, I# k3 @( D
Slash distribution, 斜线分布
C5 G* M, R0 q, e+ Q1 q! A; @Slope, 斜率( r, H9 ^2 I: t+ ]4 C
Smirnov test, 斯米尔诺夫检验
# Z, P* _1 e( P# ~" ?% i7 p: PSource of variation, 变异来源" m4 n" h7 y! [
Spearman rank correlation, 斯皮尔曼等级相关
9 \, j5 D2 X! YSpecific factor, 特殊因子
* |0 |5 w9 n/ t+ H# d6 S6 y3 uSpecific factor variance, 特殊因子方差( W) W! i* n. M
Spectra , 频谱- e$ l- g* y' s& Y# w
Spherical distribution, 球型正态分布
/ N/ z2 P; n! n6 g0 m# i" a9 I' x1 ?, |% @Spread, 展布. C5 B" E" n7 S
SPSS(Statistical package for the social science), SPSS统计软件包
2 b7 m* ?" ]3 b m! `Spurious correlation, 假性相关
8 g( ^, E. t+ F7 W! C4 O( T" eSquare root transformation, 平方根变换2 S5 w+ f( O/ Y" |+ }! P
Stabilizing variance, 稳定方差6 e6 R, `8 v' Q9 |( @9 l% [
Standard deviation, 标准差
* y8 I2 R0 D5 D% b' g( W) H+ EStandard error, 标准误: T6 Y. j, K( s }- U5 T% s
Standard error of difference, 差别的标准误% @0 M. ?4 v. n1 |2 S* x$ B
Standard error of estimate, 标准估计误差
& W( U9 S4 D- o( F5 O1 o; @: WStandard error of rate, 率的标准误, r. m6 H& o) Z- C
Standard normal distribution, 标准正态分布; f: U8 k6 t( c- W; p
Standardization, 标准化 p A% @% m7 \4 }1 [. a# H* S
Starting value, 起始值% E7 _% y/ |( J/ U# \- _6 y
Statistic, 统计量% B' m/ q* l7 A
Statistical control, 统计控制! E" _: \2 v; m
Statistical graph, 统计图7 W$ f; r4 w; h5 V3 o5 s, C
Statistical inference, 统计推断. n9 L) k- J3 }& J9 G
Statistical table, 统计表
. C, u! j W0 p+ v2 t: k: kSteepest descent, 最速下降法( N- n) U0 M( n$ ]: Z' h6 F
Stem and leaf display, 茎叶图8 s5 c) _- q0 K+ ?
Step factor, 步长因子9 g* v9 r' Y' f% B9 @
Stepwise regression, 逐步回归
* Y; j% G2 |" {8 {: N' \Storage, 存8 S2 {# e# v$ Z7 F5 M2 L" X) U
Strata, 层(复数); j* G+ r5 e, ~8 s
Stratified sampling, 分层抽样8 d! Z+ R$ w0 ?" |' s B& [: u
Stratified sampling, 分层抽样$ L S/ ]' ]+ |( {' ^' @) ^
Strength, 强度
/ D- R+ Z9 f) j1 oStringency, 严密性7 K' z% E9 R, ?- C# ~
Structural relationship, 结构关系6 k. c. K g9 Z8 S; G( b% A5 j, m& Y
Studentized residual, 学生化残差/t化残差/ J( h5 O7 _9 I
Sub-class numbers, 次级组含量6 r5 Z' M5 A1 V
Subdividing, 分割
* |3 F4 P0 a8 K8 w0 c: YSufficient statistic, 充分统计量+ Z% _7 Z. f* f9 Z* X
Sum of products, 积和8 P' O1 F' R; y% e6 I: d
Sum of squares, 离差平方和! p8 ~% X) o! h6 v$ \5 j
Sum of squares about regression, 回归平方和
]3 j2 v2 t2 ]) T# T/ j4 P! a; Q; PSum of squares between groups, 组间平方和
" L2 y/ v3 M o6 O2 G2 jSum of squares of partial regression, 偏回归平方和
! i, n# Y+ _$ @Sure event, 必然事件- L) n N: {( N7 M
Survey, 调查4 O, `' d5 D* i) P$ @! F: ]
Survival, 生存分析" j% @% c% |! }; ^0 F
Survival rate, 生存率1 {8 y& D, A; b) }( x- ?
Suspended root gram, 悬吊根图
" f* E3 i2 K# nSymmetry, 对称
7 @- T" K: r& Z& OSystematic error, 系统误差
/ \- I( M7 c! D0 HSystematic sampling, 系统抽样
( h$ w4 j0 G; Q7 k ]" Q* v5 BTags, 标签
/ [& A1 d' C3 P0 r$ w0 S# }Tail area, 尾部面积( b; M6 U0 v4 M9 g3 q6 A' R2 X
Tail length, 尾长
" e1 }7 t5 ?4 M% b a8 uTail weight, 尾重) [9 F. v/ }: r* Y5 r5 ?# N
Tangent line, 切线* A: G) ^# S( K2 K: N& I6 c
Target distribution, 目标分布
! ~) W3 ^. f, g8 F4 h4 P: u; L3 GTaylor series, 泰勒级数
* l! K/ [# a) o0 s9 `Tendency of dispersion, 离散趋势
$ x( |8 R% z, T6 b' X2 JTesting of hypotheses, 假设检验
- q1 Z( }$ l% u' K; NTheoretical frequency, 理论频数
+ Y: a$ a& P X' B lTime series, 时间序列0 M8 t4 {5 s+ I2 i! ^6 [" w ?! U
Tolerance interval, 容忍区间
/ Q0 m. i+ _% m/ `/ }$ U+ uTolerance lower limit, 容忍下限
$ o% Y* o+ h1 l3 ~( M3 o. nTolerance upper limit, 容忍上限6 M w: {0 G& Y; j: }( P
Torsion, 扰率- H- i& |6 h: f
Total sum of square, 总平方和
6 w9 M4 E6 M9 HTotal variation, 总变异
% b( D) X' J; D; q: R0 N9 CTransformation, 转换
$ `+ _% D' A7 s" ITreatment, 处理* E0 x, e8 _$ r! P Z t
Trend, 趋势
! C: J6 S. {6 `$ r( ^Trend of percentage, 百分比趋势
' {( e+ k% e" X, m* w. PTrial, 试验
8 l# O: k( k# Q: |# mTrial and error method, 试错法7 ^1 W& U6 \# k, c" \
Tuning constant, 细调常数
; N! |% \- I8 ~" S0 F8 l* ?4 NTwo sided test, 双向检验
% I; C1 F4 q) Q& d- S. `Two-stage least squares, 二阶最小平方% U7 V9 }) W8 n* r" }
Two-stage sampling, 二阶段抽样' R$ w. @2 ?6 B( u0 ~8 Z
Two-tailed test, 双侧检验
- V% K6 n; E$ a- pTwo-way analysis of variance, 双因素方差分析. z. W! C9 Y; {. A9 x7 g" A
Two-way table, 双向表
7 F& S/ A' g4 [: w# m2 aType I error, 一类错误/α错误
3 W2 p3 }) d F: C. M0 m5 aType II error, 二类错误/β错误+ L/ r g+ _; P; l0 K$ l! B
UMVU, 方差一致最小无偏估计简称
) m! g, G! P, I. KUnbiased estimate, 无偏估计, u+ ?; j2 {# n5 z2 ]$ H7 B
Unconstrained nonlinear regression , 无约束非线性回归
) ?/ |" i4 X0 [5 Z6 s# Q3 Y& PUnequal subclass number, 不等次级组含量; p, y3 m+ |4 z. W p+ }
Ungrouped data, 不分组资料( y: E: B/ J3 ?6 T$ G. e3 h
Uniform coordinate, 均匀坐标6 c! v, p7 \6 k! A
Uniform distribution, 均匀分布" ^" G/ I- Q/ b: C* H: _. T3 j M2 K
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计! ^" I% e6 s( e; S* b
Unit, 单元
. f# w: p5 Y1 f" gUnordered categories, 无序分类
$ v, u1 N2 z" v2 i9 DUpper limit, 上限9 [7 G* x+ B5 i2 X; p
Upward rank, 升秩
0 s/ d( i8 E: |2 x9 y4 E* sVague concept, 模糊概念+ E4 {- R8 l2 J0 h! d! t, n: q' {- Y
Validity, 有效性
; K3 s r* }1 mVARCOMP (Variance component estimation), 方差元素估计
$ ? l5 B( w. f/ x4 h# RVariability, 变异性
) x4 g+ j( m7 J3 t6 YVariable, 变量
# @. z# n/ ]$ U. R" B$ [- U( [& X4 pVariance, 方差
0 Y. I: q4 |: N- i3 HVariation, 变异: U$ R! J( A7 g: ~
Varimax orthogonal rotation, 方差最大正交旋转
( n: L$ _1 k, HVolume of distribution, 容积
) f' r0 @' K" H& @5 o) S7 w& zW test, W检验
+ G* E( M% I1 m; e7 M' q$ A" }" F( ]Weibull distribution, 威布尔分布
$ b: Y' Y; K) ^, q6 |2 z6 \Weight, 权数
. Z/ R* w( t7 `# P( Q# \4 WWeighted Chi-square test, 加权卡方检验/Cochran检验9 t5 v4 K; b+ j0 r0 Q7 N2 T- k
Weighted linear regression method, 加权直线回归5 l- b, @' p7 l2 |4 J* U5 W" \
Weighted mean, 加权平均数) d7 ?) @( `7 }2 `+ i
Weighted mean square, 加权平均方差% y9 E: w$ v; B) A7 _, h5 k
Weighted sum of square, 加权平方和
: b! |( ?# X9 s l1 O( T( wWeighting coefficient, 权重系数" ^: W2 s; f/ o( H
Weighting method, 加权法
5 \9 L; ?4 N; }9 S: q. PW-estimation, W估计量% Y+ ^# ^+ }$ R5 T- U
W-estimation of location, 位置W估计量
/ I5 x6 p3 @1 Y- S& PWidth, 宽度, C4 H/ M1 f7 t6 w( | {/ N
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
! g( n# o& e' n( T1 C4 QWild point, 野点/狂点% J. k+ B# ^) G
Wild value, 野值/狂值 c) f2 T2 U* K6 A9 Z b& I, I v& Q
Winsorized mean, 缩尾均值+ c% e$ [6 J e) o) @
Withdraw, 失访
s9 A5 X. F3 B% L8 g8 ?; w7 dYouden's index, 尤登指数8 q5 o) ^; T, y( J
Z test, Z检验
9 D1 r; d' f8 j1 G! g F" qZero correlation, 零相关* D8 N4 W, B- e9 ^& n
Z-transformation, Z变换 |
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