|
|
Absolute deviation, 绝对离差
4 p w, A5 j$ Y( l4 P5 jAbsolute number, 绝对数
, E J$ k9 [, z+ V7 s# o5 A$ ^. }. PAbsolute residuals, 绝对残差, i: l) W3 i8 y. q
Acceleration array, 加速度立体阵
, |2 o, o4 l- U- q* YAcceleration in an arbitrary direction, 任意方向上的加速度' p% [9 D4 Y2 ^- i R" N
Acceleration normal, 法向加速度, f3 W, B4 T# [2 `( Y" _) ^8 S
Acceleration space dimension, 加速度空间的维数3 W' Q2 M: B$ G- Y
Acceleration tangential, 切向加速度
+ L* Z% d1 o3 {; v. {- h. M- mAcceleration vector, 加速度向量4 B/ g- `( W ^7 i4 s7 b: }$ ]
Acceptable hypothesis, 可接受假设0 n; {5 N% P; m0 i# N1 z" q
Accumulation, 累积
7 r4 s+ `$ I; x8 G- h6 T% zAccuracy, 准确度
3 e1 K4 g1 G! Y X) U8 Q3 F+ uActual frequency, 实际频数
0 ~! c, Z; }5 ~8 g. s c) `Adaptive estimator, 自适应估计量
2 J0 m1 {7 Q$ A/ ^Addition, 相加. F; z u4 `% D. [$ a- z
Addition theorem, 加法定理2 O4 L2 x ?; [. }1 y' b" V7 w
Additivity, 可加性3 W d$ B/ }: {& K
Adjusted rate, 调整率* ?- s5 l# m" y& i
Adjusted value, 校正值) J; @/ b8 [& q, b% u" l- X
Admissible error, 容许误差% X; y/ D+ ~1 B1 u4 ~0 ^
Aggregation, 聚集性
. `+ d: ~1 w0 G0 qAlternative hypothesis, 备择假设1 ?2 b! L9 q" U9 d; o/ _
Among groups, 组间
; n9 V2 |$ |6 w/ G0 {& MAmounts, 总量
/ @$ E7 i2 {: _) P+ w5 M; X1 tAnalysis of correlation, 相关分析: }# H E/ Q. Y" p3 g! K! L# h
Analysis of covariance, 协方差分析+ ^! }" {- D1 c6 {: C
Analysis of regression, 回归分析
2 y2 l$ Z7 b0 j0 v- sAnalysis of time series, 时间序列分析0 N! ]. ]; S+ B
Analysis of variance, 方差分析
( ` j( h" k. {# b( y- d& N! Q. [" MAngular transformation, 角转换
) }0 I0 h I/ I6 Z% ]$ @4 _3 H( bANOVA （analysis of variance）, 方差分析 N1 B$ W" o+ \, O
ANOVA Models, 方差分析模型+ D: h, D( _* u' j
Arcing, 弧/弧旋* V" @$ j: O2 Q6 F+ k4 V
Arcsine transformation, 反正弦变换* W" a! K( S9 |. A2 V; @8 ?
Area under the curve, 曲线面积
/ A, w5 ]( R) A3 X U( OAREG , 评估从一个时间点到下一个时间点回归相关时的误差
! N) M! q l- X& tARIMA, 季节和非季节性单变量模型的极大似然估计
o$ O2 t Q2 L( Z4 J bArithmetic grid paper, 算术格纸
" i$ t3 Y) o" x: \$ |0 jArithmetic mean, 算术平均数2 x+ z4 t6 h# m6 Q
Arrhenius relation, 艾恩尼斯关系( O6 J% o, M. c7 W3 T
Assessing fit, 拟合的评估2 X( w* i9 L6 `3 r$ w
Associative laws, 结合律
. i* M9 J( J1 b2 y( I" dAsymmetric distribution, 非对称分布
: |" h* [. K" W8 t/ G1 mAsymptotic bias, 渐近偏倚
' u; y) @0 W; o Y$ q; w) [+ fAsymptotic efficiency, 渐近效率' L& W. z& D8 T2 }& S; ]' y
Asymptotic variance, 渐近方差
- Z. L% ~# Z* u) nAttributable risk, 归因危险度
; {& b) {! q6 t6 KAttribute data, 属性资料
$ i5 ?- \. a" c; A6 hAttribution, 属性3 j' z2 r/ i( M0 Q( ^
Autocorrelation, 自相关
, Y2 K: V v8 F' GAutocorrelation of residuals, 残差的自相关; E; g1 t6 v8 J! N/ a& P
Average, 平均数. ]0 Z# E% r6 x) E" c+ R
Average confidence interval length, 平均置信区间长度
6 W# p2 {* E6 A$ ?" g% aAverage growth rate, 平均增长率
, W7 S+ W- q4 M* r; }& nBar chart, 条形图# {: ~% _, H$ T" T
Bar graph, 条形图
O6 p9 N b6 U4 S! lBase period, 基期
/ l% M; ^! c4 D4 M; oBayes' theorem , Bayes定理7 O }2 L+ L+ H0 w$ f# ^
Bell-shaped curve, 钟形曲线7 }; V! ^% t9 M
Bernoulli distribution, 伯努力分布+ }1 \- `; I$ y" X. Z( B
Best-trim estimator, 最好切尾估计量
6 k. D, x' ?& E8 D! ]; j5 j: NBias, 偏性! M- Y/ `( E: }) O
Binary logistic regression, 二元逻辑斯蒂回归
) m* j+ o4 q$ F1 f+ Y: B( rBinomial distribution, 二项分布$ [, _6 |8 O r) B
Bisquare, 双平方) [) l1 d2 @" ~3 ~/ H7 j) j
Bivariate Correlate, 二变量相关
6 C) b* n( c: \$ N% e$ _" y/ y4 }Bivariate normal distribution, 双变量正态分布" q }. O; l1 m$ T
Bivariate normal population, 双变量正态总体6 u5 z" J7 r& r. X
Biweight interval, 双权区间- ]$ B% E: e$ x8 Z" c5 q
Biweight M-estimator, 双权M估计量: v2 [7 q$ E+ E9 |1 r8 l) ^, G
Block, 区组/配伍组
! u' T6 W! E% `" EBMDP(Biomedical computer programs), BMDP统计软件包
. m3 E& B2 s6 eBoxplots, 箱线图/箱尾图
1 B6 L" C0 G+ r! d. Q! b$ ~) _" gBreakdown bound, 崩溃界/崩溃点# S- m; j% u8 K- Q3 J" `. n, B9 d
Canonical correlation, 典型相关2 f0 ^, T, m4 [7 r3 B! ^$ D
Caption, 纵标目" }6 S: g2 I M0 I2 e
Case-control study, 病例对照研究/ {% h( V2 Q& @+ L
Categorical variable, 分类变量" x6 i/ x9 y4 ~. v, I N4 b
Catenary, 悬链线. n% K2 A) d2 d2 Z' `; ~, I
Cauchy distribution, 柯西分布
. A: g9 j# y. E' bCause-and-effect relationship, 因果关系
9 }( X' n0 x2 d6 GCell, 单元/ Z* K6 M4 ]* q d2 b4 V
Censoring, 终检
6 k) S7 t/ }2 p; N7 ^/ I7 UCenter of symmetry, 对称中心
; v& D/ h7 m: G2 R( |Centering and scaling, 中心化和定标
9 i) R+ d! f5 cCentral tendency, 集中趋势
4 l9 A1 G1 \& S* D4 ^% FCentral value, 中心值
% C3 s) M! P! u% b" L; XCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测$ T# [$ L! a- }" |# Q$ w; L
Chance, 机遇
% ]9 E* [2 J) L" J* X" T+ @4 z, oChance error, 随机误差2 C; j. {7 S& j+ j9 H+ N
Chance variable, 随机变量
; Y' H0 m* f4 J* }% @# QCharacteristic equation, 特征方程
# @! {8 t+ y9 LCharacteristic root, 特征根/ a5 O2 [" w0 s- W
Characteristic vector, 特征向量) v P# }0 T( e) E7 J" L8 c1 s" N4 z
Chebshev criterion of fit, 拟合的切比雪夫准则( W8 F! d; g$ @, \ s0 }
Chernoff faces, 切尔诺夫脸谱图1 a2 k. n5 x3 g+ z% k8 \& V0 N
Chi-square test, 卡方检验/χ2检验
5 T5 i) E; P* PCholeskey decomposition, 乔洛斯基分解
6 T" {) I; S( v! }Circle chart, 圆图 " k$ B) X+ m0 X3 h. R
Class interval, 组距
* F7 _4 V; y) c6 c9 M ~# w- w6 ?9 ]Class mid-value, 组中值
7 P$ z. n6 d$ H' vClass upper limit, 组上限. h/ t' Z8 S6 O9 ?
Classified variable, 分类变量
. a$ l. H( `3 F7 w$ s0 bCluster analysis, 聚类分析
! d0 L/ k, D# m( \ b( j! e# X1 HCluster sampling, 整群抽样3 [2 X7 ]1 V) b$ K
Code, 代码6 _/ V+ q' E, p/ R' n2 |
Coded data, 编码数据7 j) Q4 @5 N4 a- Q( M& ~
Coding, 编码3 F. w* X9 r2 v" Q4 R& Y
Coefficient of contingency, 列联系数4 M+ _1 `4 z# t) V# p$ C
Coefficient of determination, 决定系数& O7 f+ m1 D$ `* t/ ^9 Q
Coefficient of multiple correlation, 多重相关系数0 ~! z8 N7 m8 y" ?
Coefficient of partial correlation, 偏相关系数, ~7 z3 |9 e; E
Coefficient of production-moment correlation, 积差相关系数- p X. L' q& l5 X" `
Coefficient of rank correlation, 等级相关系数" P& q1 d' @3 @
Coefficient of regression, 回归系数
) B5 v; j+ k4 h7 d3 dCoefficient of skewness, 偏度系数* l% \7 Y- o }# q. }3 K; h
Coefficient of variation, 变异系数
3 J" B3 Y$ U- \, m! U) ~( K3 @Cohort study, 队列研究
4 h1 I% U# S& y% J! w9 sColumn, 列
9 A( q7 {3 n& R, ~$ kColumn effect, 列效应
3 k1 ~* u0 K# ?0 g1 uColumn factor, 列因素
% u# \$ B# G' p( }Combination pool, 合并
W, v$ [: x, y; T$ _+ L; GCombinative table, 组合表( c0 D* |/ J$ R% z# p& A' K
Common factor, 共性因子) r7 k5 [% s9 N
Common regression coefficient, 公共回归系数
9 a& b- e8 j; v ] ^' g) k% m# w DCommon value, 共同值8 }) o0 Z! s* T( Q) `1 `
Common variance, 公共方差9 e; M8 D( K5 M5 { X
Common variation, 公共变异
$ F, n: p- M) RCommunality variance, 共性方差
8 h7 a- x5 h4 z) AComparability, 可比性% P. c& h. Z% l# F) T- x" v8 T4 ]
Comparison of bathes, 批比较6 |% y! P+ c8 t+ A9 T
Comparison value, 比较值( ?( }, x8 P7 K4 W' {
Compartment model, 分部模型
5 D, ^8 [. U* r# v3 i: e8 zCompassion, 伸缩# }3 ?# ?- Y* ^1 I1 \* M
Complement of an event, 补事件
7 M, A, y+ w( B5 k$ T$ a, I& n2 z3 ?! P6 A/ LComplete association, 完全正相关
0 _3 O9 O" y. B' N/ G/ CComplete dissociation, 完全不相关
1 H; j/ l& ?& k* x" @Complete statistics, 完备统计量! w* \7 v: N& \3 d: j* o* q
Completely randomized design, 完全随机化设计
/ W |7 }+ q r& X3 P( bComposite event, 联合事件
# N. e+ @3 q1 c1 zComposite events, 复合事件
7 P3 }6 I8 U# }2 ~- LConcavity, 凹性
7 Z0 `$ t4 Y4 o J. d( sConditional expectation, 条件期望0 p7 }. f# X3 k4 r' b- H( C
Conditional likelihood, 条件似然
, ~" u- S3 N1 cConditional probability, 条件概率
. h2 r- @ V. z! K' bConditionally linear, 依条件线性
! G6 A$ X; E0 mConfidence interval, 置信区间
, Y, s, l# M; m& g- [9 y0 fConfidence limit, 置信限4 O4 Z1 Q5 V: b
Confidence lower limit, 置信下限
0 ], W, R, y+ w- ?5 C$ p9 v8 cConfidence upper limit, 置信上限: i0 f! H; P; G' V+ O4 X4 W, {
Confirmatory Factor Analysis , 验证性因子分析1 o! \" u" b! K+ C2 {
Confirmatory research, 证实性实验研究! I% |7 m# Q! t" U% h u
Confounding factor, 混杂因素. b ^' R& _! j# G
Conjoint, 联合分析
/ t: l2 x3 S Q# M) qConsistency, 相合性4 i( q/ U9 Q0 W9 ?! R/ t
Consistency check, 一致性检验
" n H3 a5 W& EConsistent asymptotically normal estimate, 相合渐近正态估计' n6 q0 K# s; j) I; Z/ W
Consistent estimate, 相合估计# z4 C3 u3 |# ^) {
Constrained nonlinear regression, 受约束非线性回归5 _4 }* K& I3 ~9 `0 Q2 \; i" i
Constraint, 约束3 u) ~7 k; A3 I7 C
Contaminated distribution, 污染分布9 E5 r, q8 Q0 S7 C4 g
Contaminated Gausssian, 污染高斯分布
" A3 C" X% [' f6 `! z, ~/ EContaminated normal distribution, 污染正态分布
7 [) N+ u& B- L) U7 Z1 g! ~1 g! GContamination, 污染
6 K1 e8 u7 g% l3 ?$ P& s: W7 MContamination model, 污染模型
6 T- N0 O; T/ z5 K. m/ U; cContingency table, 列联表& @3 A* I- }( X7 D; ^1 _
Contour, 边界线
3 P! g* @! W0 dContribution rate, 贡献率5 c4 W; | D1 c0 B- i
Control, 对照4 i/ P! j& @ o6 y7 x% }( o/ ?: g7 Y
Controlled experiments, 对照实验
" P- R/ H$ Z7 R2 AConventional depth, 常规深度* _" G: R$ |8 J: m/ I
Convolution, 卷积
7 o4 z2 _4 P% ^- gCorrected factor, 校正因子
" P3 N4 W# V/ u( c. l7 vCorrected mean, 校正均值
( E+ f$ H, q" WCorrection coefficient, 校正系数* }. E8 B5 ^% i5 W* u( ^9 I
Correctness, 正确性& R6 V% S! C3 ]8 J- S
Correlation coefficient, 相关系数
3 a2 R; P) a$ _Correlation index, 相关指数
% F) |. h3 }1 v' H# yCorrespondence, 对应$ O! v( L8 U% w1 D2 F& a9 L: \
Counting, 计数! }' N i, T+ B0 N- Q% g
Counts, 计数/频数6 S7 r1 R3 l6 ?- R
Covariance, 协方差
+ P4 z2 J- \+ C! X ~Covariant, 共变
% p8 W3 V" D+ ?+ [Cox Regression, Cox回归
" t3 R1 x8 j3 x1 B8 }Criteria for fitting, 拟合准则
O7 V& T4 W# f. `+ }% Z& BCriteria of least squares, 最小二乘准则
$ ~5 U: d- l2 {9 DCritical ratio, 临界比
# x: i8 h- }* b/ Q. R% P$ F, JCritical region, 拒绝域6 ]- t0 @0 ^& \. n+ \. l7 \
Critical value, 临界值
" W. _; V8 Z; fCross-over design, 交叉设计
9 H" j' C1 J1 ?4 UCross-section analysis, 横断面分析
' w0 Q. h, j/ \7 q( E; OCross-section survey, 横断面调查$ b% e+ m: a+ G" c/ [/ Y9 t
Crosstabs , 交叉表
+ P: e+ V7 _8 _3 M- s% [. _Cross-tabulation table, 复合表
1 H( n4 g* d4 L! c2 v5 RCube root, 立方根
; g. M$ r+ B f/ |, mCumulative distribution function, 分布函数7 Z" K* X7 ^5 a
Cumulative probability, 累计概率
! L4 c$ B) j9 W6 u( n0 h, h6 UCurvature, 曲率/弯曲6 H- F4 x: a! j: i0 P$ r
Curvature, 曲率
$ q7 S3 S4 M" WCurve fit , 曲线拟和 + F6 s, H8 {3 u C+ L+ T
Curve fitting, 曲线拟合
' R- \ X) ]) h5 @Curvilinear regression, 曲线回归
8 `8 t! @: \" W$ F& I; vCurvilinear relation, 曲线关系
: n: ~& R' D! z! G7 GCut-and-try method, 尝试法
0 t8 w, U" I- ]3 K! g* J8 FCycle, 周期
7 m7 ?. b# d+ xCyclist, 周期性7 t; P! F7 p+ P2 l5 r h6 y
D test, D检验& o% _ l6 q7 B; _0 t+ j5 t
Data acquisition, 资料收集
, a3 T" Y( m' v; Q1 a' I- [Data bank, 数据库
: l& i% O" J6 |1 I! K8 T3 \9 \& w$ |Data capacity, 数据容量
5 ~8 o% q5 N# [7 ?3 R2 k: i& N1 y: PData deficiencies, 数据缺乏
. @7 T [2 C7 h! I" k# |0 j7 G" KData handling, 数据处理" J+ Y( U- f/ Z' x. |* Z# c! E
Data manipulation, 数据处理8 D; q( m* j' }: I. ]0 C7 `
Data processing, 数据处理
0 S( F5 Y! o- Y1 s, h4 |Data reduction, 数据缩减+ O" z5 j- U' f- m2 m
Data set, 数据集6 A& a0 l( i' f/ S) E
Data sources, 数据来源' q6 n7 ?4 Z, J6 \7 z
Data transformation, 数据变换
. L) e( G2 u& P( fData validity, 数据有效性
2 e# T B8 z8 ~Data-in, 数据输入. Q- t8 z) q0 H G5 G; ], D
Data-out, 数据输出
# w$ G$ p/ p6 U3 A# _Dead time, 停滞期
$ Q1 j7 d& N* K) r1 iDegree of freedom, 自由度
H, ]. R" T, c5 lDegree of precision, 精密度
3 W; T+ j( X8 }5 K5 F) Z. |5 {Degree of reliability, 可靠性程度% ~/ |+ V( J3 S1 z- o! S
Degression, 递减
, G% t) y6 F7 r/ N, r/ lDensity function, 密度函数
# ?" k ^0 F ?2 I( ~Density of data points, 数据点的密度% Q$ @, y$ a# f* r* K: I. u* ~
Dependent variable, 应变量/依变量/因变量9 s9 }6 w, b* B4 R9 ?7 c
Dependent variable, 因变量( A4 d9 @ \6 y2 ]$ a) x3 F9 {
Depth, 深度
" U* J; i( U/ A8 XDerivative matrix, 导数矩阵8 ~/ b! y. l$ b8 B
Derivative-free methods, 无导数方法
) K, B% L7 q3 xDesign, 设计; x7 k7 p8 J3 h
Determinacy, 确定性 M' J! M2 g! B% N4 T) i7 E K
Determinant, 行列式
u z3 o; w# H# _Determinant, 决定因素
7 {) n8 ~8 T6 O1 w/ KDeviation, 离差
- `$ G0 x2 Y) T' X1 ODeviation from average, 离均差! T8 o! ?& ?% ?( d: ~2 \9 o! L; C
Diagnostic plot, 诊断图
$ _! W, a P, n; yDichotomous variable, 二分变量
% p, T. l0 k4 n ODifferential equation, 微分方程5 j! q3 V5 d6 U: @5 q
Direct standardization, 直接标准化法# O; Z8 ]) A% X
Discrete variable, 离散型变量
/ O5 u6 q4 t( @ `2 A5 iDISCRIMINANT, 判断 : [& }5 `: P* _0 S- Y( y) _
Discriminant analysis, 判别分析
6 V$ c4 J n7 f$ M6 ZDiscriminant coefficient, 判别系数: P( B. _& s! V# i1 f
Discriminant function, 判别值9 B, \: n- p/ z6 K6 {) z9 @
Dispersion, 散布/分散度9 {+ P1 m7 U; o2 d0 ]
Disproportional, 不成比例的& W" u1 k. _0 D
Disproportionate sub-class numbers, 不成比例次级组含量
2 N/ Y# d. C$ KDistribution free, 分布无关性/免分布
* H" b X- I; sDistribution shape, 分布形状! o' A$ I; l7 {, y: }4 u; H) V' ~4 ^" L
Distribution-free method, 任意分布法4 }% B& y3 ` N0 k
Distributive laws, 分配律" h( U5 a0 I" }5 A
Disturbance, 随机扰动项
* O& P- r3 }0 Y( M* ]Dose response curve, 剂量反应曲线
+ D* A- ]0 p, R g9 m* R4 fDouble blind method, 双盲法
4 d8 i" k- z- y6 j7 M$ _Double blind trial, 双盲试验
" D# W' J3 O" q3 U% qDouble exponential distribution, 双指数分布8 Z- U# e% U" Y9 P% K
Double logarithmic, 双对数
0 ~7 m- n! d! n+ L" hDownward rank, 降秩1 p# }9 Q3 M2 u0 D3 W Q( A
Dual-space plot, 对偶空间图
4 q$ C# s4 y& w* W3 VDUD, 无导数方法7 o; G5 g; [; I; J1 d: k
Duncan's new multiple range method, 新复极差法/Duncan新法2 r. p8 M0 i# ], Z
Effect, 实验效应8 N: x) j: m' A% ~/ H0 b5 e+ Y
Eigenvalue, 特征值1 M8 A2 w4 _, w2 a5 |
Eigenvector, 特征向量
: Y/ A X8 l; i. l$ YEllipse, 椭圆* c& X' g2 x; D( @6 Q
Empirical distribution, 经验分布4 {2 q3 C4 _3 q& X/ F
Empirical probability, 经验概率单位$ f3 A( y7 _+ [! ]/ r/ ?
Enumeration data, 计数资料" n2 U; F1 B2 I
Equal sun-class number, 相等次级组含量
9 U( z0 G5 \& ~1 ] LEqually likely, 等可能& T# A/ {8 Z& I" r5 \% h, C
Equivariance, 同变性& F( s. H8 W. e5 q$ ]) i8 \; U
Error, 误差/错误
+ ~0 U7 q" L# s3 IError of estimate, 估计误差
$ G; |0 `/ ^ h5 C; TError type I, 第一类错误
, Y- Z) W( h3 T& v4 e( ~" [Error type II, 第二类错误
. u2 Y7 O* T5 D1 R1 lEstimand, 被估量
; N( _/ K" h7 m4 KEstimated error mean squares, 估计误差均方
( Q5 t$ j9 J. U1 {" {4 U5 HEstimated error sum of squares, 估计误差平方和
9 d$ r6 _$ N( }Euclidean distance, 欧式距离
! u9 T+ E5 H- v2 qEvent, 事件
5 r5 e5 ?3 [$ Y1 r$ A- C1 ^+ t0 o; x' CEvent, 事件
, P+ A( B" p7 e4 e5 G- S9 LExceptional data point, 异常数据点
) O& y; f$ ~8 z' aExpectation plane, 期望平面
6 f, x6 t+ F: ?- ?7 bExpectation surface, 期望曲面; l9 S+ F. \' K) r+ Y6 a
Expected values, 期望值
: w7 @: x3 h# Y. y& eExperiment, 实验
0 C) \* D+ ~" G# l' J' J S/ }0 [3 K* \Experimental sampling, 试验抽样1 V0 J+ T0 ]" i4 N. i8 p
Experimental unit, 试验单位
/ q) X+ @/ e) t, pExplanatory variable, 说明变量
8 C4 w* Y9 @1 T- B2 }5 }9 q; ]$ `+ `Exploratory data analysis, 探索性数据分析
% L. r; u, g& O) n( D# F, F( `Explore Summarize, 探索-摘要
0 w) ^" x9 J9 [1 m% J8 V* cExponential curve, 指数曲线
9 T: o1 Q6 f S$ S6 t* Y1 J; k' hExponential growth, 指数式增长
G- n9 m- Z' K8 v% L. d# `EXSMOOTH, 指数平滑方法
# n2 u7 [: J" Q* l6 nExtended fit, 扩充拟合
, n! v/ S" D" t) nExtra parameter, 附加参数
( C# A; }% ^) cExtrapolation, 外推法
. k& a) A, q* b% L& Q1 R; _* wExtreme observation, 末端观测值
/ \; u" j6 Y2 w1 q i2 ?3 b. S: |! UExtremes, 极端值/极值. s3 E9 G5 M0 K2 G1 E' f7 u
F distribution, F分布0 e) K2 f) I7 c8 y0 `( ]
F test, F检验
7 |4 J, Z9 b: p, ~; ?" m; N. L; YFactor, 因素/因子3 {; }. Y, z6 v# t
Factor analysis, 因子分析8 E% Q: a5 {, I8 t
Factor Analysis, 因子分析
+ s" ?6 E6 g. C- {$ r6 K% zFactor score, 因子得分
, ^& M& m( O) fFactorial, 阶乘* m9 T7 C% |) }1 j, F
Factorial design, 析因试验设计
8 }3 y# q7 m0 B9 i) z3 Z, Q3 OFalse negative, 假阴性
' D* g3 ?8 n9 z8 OFalse negative error, 假阴性错误
# R; o0 k( t2 F2 ~1 A+ [$ o' i4 J* ]Family of distributions, 分布族
4 V, F+ ]8 l- i# @2 @' UFamily of estimators, 估计量族+ F0 Y# m2 o8 M8 j! G
Fanning, 扇面
# ]/ b" ?3 `1 L2 e" v/ tFatality rate, 病死率
( ]: P. m4 J% YField investigation, 现场调查) w; p9 E g6 r; M/ m5 ?4 q% b/ K
Field survey, 现场调查
* I: C9 _7 A+ |; D3 C" `6 |Finite population, 有限总体
' h p2 B' s' b% Q" z' ^# J; c! BFinite-sample, 有限样本
" ?% x1 E7 A/ Y' HFirst derivative, 一阶导数
0 j7 Y& ?9 P& ?- x' j% ?First principal component, 第一主成分/ B2 A# r% j7 N3 s- m4 f
First quartile, 第一四分位数
- `- B* O' y8 V, y0 MFisher information, 费雪信息量
* d( j; U" H( Z# C$ AFitted value, 拟合值
% P8 N7 A. A9 G9 H( A* f+ eFitting a curve, 曲线拟合
6 ?+ f' ^. {; _: @6 n, hFixed base, 定基
& Z5 ]6 u0 Y+ T: L2 t% o* YFluctuation, 随机起伏# e, W- f' m4 W) {
Forecast, 预测* y i) ?3 x( J* Q' e2 ]) q
Four fold table, 四格表
7 m0 i5 O4 L# x- I. c' p) wFourth, 四分点
_! G0 G2 ^! Y% E1 u6 TFraction blow, 左侧比率, A! p( h( k) O, O- m
Fractional error, 相对误差* d4 W7 ^2 Q# |
Frequency, 频率
2 v! u* a, D c- o3 ?6 S7 |$ A3 G# i. BFrequency polygon, 频数多边图
/ @1 p) p; s7 i; u8 X! _Frontier point, 界限点0 r4 K. r6 x- V- @) j
Function relationship, 泛函关系# H) [; P f" R
Gamma distribution, 伽玛分布
3 a' Y( a7 I {: Y1 i3 @# HGauss increment, 高斯增量
* T8 u5 U% [* V" P M1 s/ q3 [Gaussian distribution, 高斯分布/正态分布
, g/ e( e/ X4 f1 l, }8 y9 z; {' `Gauss-Newton increment, 高斯-牛顿增量
6 F* |" J% ~% Y; z, MGeneral census, 全面普查
) ^+ m$ W0 ]+ D3 j( y) }3 hGENLOG (Generalized liner models), 广义线性模型 4 z1 M4 H! W+ ~8 Y y, E* ^9 `8 Q
Geometric mean, 几何平均数6 i: |9 T1 B3 S5 q
Gini's mean difference, 基尼均差
+ M) G4 I9 {8 ^2 ~GLM (General liner models), 一般线性模型
% f$ f# Z) b1 @! O1 JGoodness of fit, 拟和优度/配合度
! m2 a+ |1 [: Y- z5 o4 i0 X: ^6 uGradient of determinant, 行列式的梯度
/ E% K3 g' ]4 s" w1 K1 {% e1 j8 ~7 dGraeco-Latin square, 希腊拉丁方& v, n4 W8 h( Q, C9 z
Grand mean, 总均值/ K% E1 g P" V; I" o4 x
Gross errors, 重大错误6 H1 O5 l6 ?) x0 }4 U
Gross-error sensitivity, 大错敏感度: l! u+ B1 H ], W! S
Group averages, 分组平均2 v( A8 H9 k- _2 u+ g, M4 Q' p
Grouped data, 分组资料
; L. m" C, P/ a$ P, S8 [# VGuessed mean, 假定平均数
, o4 s3 V, ^+ [ sHalf-life, 半衰期* _, h0 Y1 s( B) o) P; \( h
Hampel M-estimators, 汉佩尔M估计量
3 u" X. |; l: E5 p$ KHappenstance, 偶然事件' ~- F7 R) u& Q5 u% c: Y
Harmonic mean, 调和均数
! k Q! n+ _* S, {0 i; WHazard function, 风险均数% s; V( v5 z+ L) z3 D
Hazard rate, 风险率
- P. H0 T( |; O2 YHeading, 标目
+ F0 n: z" [& j$ D7 `4 xHeavy-tailed distribution, 重尾分布& ^& f! r7 J& r$ ?
Hessian array, 海森立体阵) D$ X7 G4 [/ n
Heterogeneity, 不同质, a+ h7 }6 y+ w7 L
Heterogeneity of variance, 方差不齐
6 Q9 E4 S, {- M+ I5 m( D. {Hierarchical classification, 组内分组
9 n2 h# N1 x0 ?2 Z5 D# Y$ @+ oHierarchical clustering method, 系统聚类法
' N! `& I" O7 G, v! dHigh-leverage point, 高杠杆率点
' U3 q% X/ Q4 e" i& SHILOGLINEAR, 多维列联表的层次对数线性模型$ E* _- c) D: @9 n5 U% ^# _
Hinge, 折叶点; ]4 q& S9 g" R( \6 M% F. Z
Histogram, 直方图
! y- R3 B- ^& }1 E; h' _# B$ ^8 ZHistorical cohort study, 历史性队列研究 0 v0 s. G2 O4 u U S* r
Holes, 空洞
8 C, ^' @6 |2 B( f! D0 yHOMALS, 多重响应分析
1 r D0 g6 L+ ^9 bHomogeneity of variance, 方差齐性% z7 H/ n5 P) {* v- o
Homogeneity test, 齐性检验8 d1 n% _9 y# c$ U4 R
Huber M-estimators, 休伯M估计量) E0 _0 g# m l' W, L( M0 j& ?9 R
Hyperbola, 双曲线
) S$ b$ `3 [( {( EHypothesis testing, 假设检验5 ~8 n( E- y. A/ _6 E: L
Hypothetical universe, 假设总体5 _, I7 ^4 k# {- _
Impossible event, 不可能事件. Q+ W' t0 {. h/ r
Independence, 独立性$ ?( v7 n# C) r/ A# u8 G
Independent variable, 自变量1 ?+ ^5 M" E' ^2 p
Index, 指标/指数" I& b* d- R8 C9 }: C) V& U$ |
Indirect standardization, 间接标准化法+ S) ~% q# B: i2 O9 Y& _( B
Individual, 个体3 K; @. d* z8 X
Inference band, 推断带
" A0 L4 o0 [; k3 w' S* KInfinite population, 无限总体: Z3 F% r3 i5 H4 N! e
Infinitely great, 无穷大
2 J8 d7 S/ O- S. A7 ]; y6 a! gInfinitely small, 无穷小
: @ e% ]( _. W$ o+ g! @5 vInfluence curve, 影响曲线4 T. A2 W! y2 e0 J! E7 A% o
Information capacity, 信息容量: S& G7 s! y8 }# m; ^ L A* g3 l
Initial condition, 初始条件
6 V7 K0 v; b! K) N0 Y3 } {Initial estimate, 初始估计值1 x/ V0 G+ | F8 T( o( u
Initial level, 最初水平
9 ^- H& x5 e2 NInteraction, 交互作用- c1 _ {, R# F3 t4 C$ u/ ~3 e! r; Z
Interaction terms, 交互作用项. S5 i: d% H$ \) d( `; p: M
Intercept, 截距
; _7 F" [8 R9 Z8 f( _Interpolation, 内插法5 G* ^% ]# }: w; m; X
Interquartile range, 四分位距4 [' P4 }3 K1 D7 g; Q6 d S) M
Interval estimation, 区间估计' `" G E* z5 Z8 F
Intervals of equal probability, 等概率区间2 s, `4 N& N% W
Intrinsic curvature, 固有曲率
% t* q# u4 Q. |8 FInvariance, 不变性 ?* U5 _( x/ Q0 R# F
Inverse matrix, 逆矩阵% n( G) ]# w) Y* P% t% e0 P
Inverse probability, 逆概率
. d$ O7 g+ b! RInverse sine transformation, 反正弦变换
7 g% L4 m( c* f3 |9 I8 IIteration, 迭代 . `* r* r: ], x) A$ N
Jacobian determinant, 雅可比行列式
6 R; M) _" q: E J& rJoint distribution function, 分布函数" `$ |8 }$ {* {* j; i# K
Joint probability, 联合概率2 t5 @" \2 b0 Q
Joint probability distribution, 联合概率分布
1 X3 J" |( w9 E4 i9 e# vK means method, 逐步聚类法1 Y8 r9 T V& Z8 N U. g
Kaplan-Meier, 评估事件的时间长度
$ V0 {/ {& e! Y6 _4 AKaplan-Merier chart, Kaplan-Merier图
0 ?; k( p4 Q [7 fKendall's rank correlation, Kendall等级相关2 I1 R# s! l8 b
Kinetic, 动力学* B# V) F J$ \: f9 e
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
/ _( |8 M1 V* T7 L3 o/ r7 C$ L, oKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
4 ^% o/ R7 s4 z, q/ I! DKurtosis, 峰度3 U* L: {+ O6 X1 }, V7 C
Lack of fit, 失拟# `8 ^' }' ~% `) p
Ladder of powers, 幂阶梯
& A. o2 f+ ^4 O& y, ULag, 滞后# v& V M. E3 _5 p6 ~2 l/ _
Large sample, 大样本7 m0 ~, E/ O9 i) X/ O7 p- |
Large sample test, 大样本检验0 ]4 W7 ~8 b0 ~# `0 c/ O6 {. ?: F8 m. d/ f
Latin square, 拉丁方3 u) Q$ E- R1 g, o
Latin square design, 拉丁方设计 `* P( b, ?, o$ U+ ^
Leakage, 泄漏
1 t, z( P. I# Q+ OLeast favorable configuration, 最不利构形
! Y; Q' A9 A( B9 XLeast favorable distribution, 最不利分布. f! k5 y$ p& c
Least significant difference, 最小显著差法
2 t1 ^1 V6 A& k1 p7 t# uLeast square method, 最小二乘法
' ^. M+ |) _3 C4 e1 ]+ TLeast-absolute-residuals estimates, 最小绝对残差估计4 `% w$ O/ k3 p7 v1 e
Least-absolute-residuals fit, 最小绝对残差拟合
2 h& [. [# q# H( L( }% yLeast-absolute-residuals line, 最小绝对残差线
1 S& d4 z7 ` [6 D* o* XLegend, 图例
( q0 r. s0 d; g0 d1 zL-estimator, L估计量1 \ t c \( h; @# d$ o3 C6 ^
L-estimator of location, 位置L估计量
, H6 i3 `/ `, t$ D/ A3 dL-estimator of scale, 尺度L估计量
1 W& {" l, g1 ZLevel, 水平4 B# S1 [; A6 f% w9 q; S" o
Life expectance, 预期期望寿命
# |1 V p8 {3 A0 O o* w3 \8 PLife table, 寿命表
$ I, t4 w$ w2 l) b" z2 Y$ s8 r' sLife table method, 生命表法
# v9 m& e9 s- f* u. j+ CLight-tailed distribution, 轻尾分布4 M, F: x& D4 r+ H j) O
Likelihood function, 似然函数9 F3 }$ I2 O' Q* x. I# u
Likelihood ratio, 似然比; \% o7 P3 ]( Q+ h7 I
line graph, 线图1 y" @/ \8 g! a0 \1 `( e# L) O
Linear correlation, 直线相关- b' t: `0 i8 _2 g; I
Linear equation, 线性方程& h/ u- Z- |$ I
Linear programming, 线性规划! _5 B2 f3 G! n K3 B! @
Linear regression, 直线回归: w6 }7 R3 F& v# D; F% g* v
Linear Regression, 线性回归- }' s8 J- r8 i( |7 W$ U
Linear trend, 线性趋势; o3 i' }2 w* f, Y, L
Loading, 载荷 ; N. m3 R% G9 N6 P; _5 K
Location and scale equivariance, 位置尺度同变性- W9 ]3 E1 h# v9 `$ Y. H/ K
Location equivariance, 位置同变性3 Z6 {( j/ i- R6 B/ ^ A! N
Location invariance, 位置不变性
' S3 S8 j. T/ o) ~5 E6 ~+ _Location scale family, 位置尺度族
/ r1 p5 [# k7 J+ H6 b$ fLog rank test, 时序检验 & @3 r4 T1 T: O
Logarithmic curve, 对数曲线7 E! q' g9 O2 s$ T5 p
Logarithmic normal distribution, 对数正态分布3 }5 o J& J( M8 \
Logarithmic scale, 对数尺度( R+ z" G$ O8 o4 D6 S# O! l1 w5 N
Logarithmic transformation, 对数变换! V% z- N( F( S4 S
Logic check, 逻辑检查& W* \, w- V0 U
Logistic distribution, 逻辑斯特分布6 ?" e6 f* V+ Q, l: N3 y
Logit transformation, Logit转换 m) S$ L( O0 I) g. K
LOGLINEAR, 多维列联表通用模型 * F9 t0 s5 L5 d4 Y8 g1 s3 q
Lognormal distribution, 对数正态分布
3 X, C! j$ I# |1 M8 P2 l# u0 ELost function, 损失函数% h4 e- V$ u+ ?: l& _6 a
Low correlation, 低度相关
9 `) l8 v9 G( N2 ]7 D, [0 }; \& VLower limit, 下限8 ?) r" d, M6 J7 a$ z- _
Lowest-attained variance, 最小可达方差
W3 V% g' j/ K$ gLSD, 最小显著差法的简称
3 R6 p3 H, e$ V5 t. H' I, a5 E& oLurking variable, 潜在变量
! K) O# d- H- mMain effect, 主效应, a0 a- q3 o! `: |$ E
Major heading, 主辞标目
2 u+ {. {& g! A, Y5 O* X( U# ~* `; lMarginal density function, 边缘密度函数
3 V- v* _' d. g' [Marginal probability, 边缘概率/ M- g+ `+ Y; V2 H1 n: D/ X, @& g
Marginal probability distribution, 边缘概率分布 c( @- U5 A2 Z" H: l5 C
Matched data, 配对资料
& ^9 O! G8 L! S! M$ y" qMatched distribution, 匹配过分布8 D! P3 J% l( k6 O- B
Matching of distribution, 分布的匹配+ L! T/ L |% `
Matching of transformation, 变换的匹配
/ @( d$ B! V: g, L2 l( Q; qMathematical expectation, 数学期望
0 M* V2 L* a, }4 [5 v/ `; i* \Mathematical model, 数学模型
# f8 k! _' ~& [Maximum L-estimator, 极大极小L 估计量2 |- n1 N% B. q6 \
Maximum likelihood method, 最大似然法
' c0 R+ H: V+ o* IMean, 均数
O$ {4 N' q! v$ w4 r& M& U7 mMean squares between groups, 组间均方
) K3 i- d( [# {! H8 N! _Mean squares within group, 组内均方
: ~; j& M* N1 r" X1 ]Means (Compare means), 均值-均值比较 {! l* I: o7 L# \* {
Median, 中位数
2 V9 N" i4 s- @4 C) H7 EMedian effective dose, 半数效量
R$ w" M7 I" t# k' A* OMedian lethal dose, 半数致死量3 t- r! F! [9 h5 N
Median polish, 中位数平滑8 f2 A8 e0 O0 _6 ]6 j
Median test, 中位数检验
! E# A2 F2 m5 ^' CMinimal sufficient statistic, 最小充分统计量- z/ _* I) J* i/ Q- D# |* l2 [5 M
Minimum distance estimation, 最小距离估计
! }" |+ i O* y: h$ ZMinimum effective dose, 最小有效量( z! `7 ^* H" m: a2 Z {, j0 [
Minimum lethal dose, 最小致死量
* P% d# `: y$ b0 P3 I( NMinimum variance estimator, 最小方差估计量$ M3 B* j& j% {& r
MINITAB, 统计软件包
) B% j, ^# ], G4 A2 M* AMinor heading, 宾词标目
5 j; Y Q0 y3 L2 ?Missing data, 缺失值2 p" Z8 r! C, J5 W1 l5 p3 c+ |
Model specification, 模型的确定
- R4 F$ Q2 @: l) jModeling Statistics , 模型统计1 C3 c! R0 A* u, A! q0 n& S2 j9 l8 Y2 Y
Models for outliers, 离群值模型" X' @4 q1 P0 c
Modifying the model, 模型的修正& {) K* |" z$ `, |7 f5 }7 Z) f
Modulus of continuity, 连续性模3 z& K2 [- j r9 K) @
Morbidity, 发病率 6 {" i+ d& u& L, y7 e" f2 g& K% ^
Most favorable configuration, 最有利构形
. _; g- b. ], x. IMultidimensional Scaling (ASCAL), 多维尺度/多维标度
* g; e! `6 C; \1 x0 SMultinomial Logistic Regression , 多项逻辑斯蒂回归
0 E+ s p- l! MMultiple comparison, 多重比较5 ~. B. ^! u+ c* A- E* W4 j% S) }
Multiple correlation , 复相关4 _, C6 B' `3 q; W
Multiple covariance, 多元协方差
2 Q2 h" y& B! R# ?+ W0 OMultiple linear regression, 多元线性回归; C, t% X3 Z( Y& ? `) g' `0 f
Multiple response , 多重选项' _$ x6 k9 `2 v4 z! s9 m
Multiple solutions, 多解6 {% u0 L: O) @; M, U( l
Multiplication theorem, 乘法定理
0 D" E' Z& g5 h5 y& J8 N9 |Multiresponse, 多元响应
! L- }3 Z% N2 i, _6 eMulti-stage sampling, 多阶段抽样% W! d1 X4 e+ g% ~" O% p
Multivariate T distribution, 多元T分布% s- Q% G; C1 \- L9 M
Mutual exclusive, 互不相容
f" c. [; ~' [3 P$ BMutual independence, 互相独立
# y% S2 g R( b' xNatural boundary, 自然边界) ~! m6 C; ]# i2 w4 r! L
Natural dead, 自然死亡
, H! |- U5 ~ E3 D' GNatural zero, 自然零
3 @/ ~: ?7 Y( B# ?Negative correlation, 负相关
0 u/ f; }* ?' G6 W9 pNegative linear correlation, 负线性相关2 I/ V: s r# r- `, I
Negatively skewed, 负偏
Q0 j( x8 F6 W% H% x2 [4 bNewman-Keuls method, q检验
! z0 ?% [) Q1 o/ k# zNK method, q检验3 t7 z6 ^* Q) ~$ c. \* G) P
No statistical significance, 无统计意义
$ l4 ^' o- l* Z; C2 \Nominal variable, 名义变量3 b% f3 ^+ z' h9 N
Nonconstancy of variability, 变异的非定常性# S' d# G* h9 {8 W" b
Nonlinear regression, 非线性相关, V& g4 e' Y3 C% ^
Nonparametric statistics, 非参数统计6 B+ x+ k; e1 l
Nonparametric test, 非参数检验7 O* o" J7 t& I* E6 U& K" g5 F. l4 L O
Nonparametric tests, 非参数检验
8 r# Y# J' z/ ^# u/ ^Normal deviate, 正态离差
9 r- K% ?9 o. n# M( i F- M% wNormal distribution, 正态分布5 Z% G9 Z# ?1 R* k
Normal equation, 正规方程组! Q) c5 F. ~3 W( T
Normal ranges, 正常范围8 \, |+ @ ?; W- c0 o
Normal value, 正常值% s- n) v% l, m2 W
Nuisance parameter, 多余参数/讨厌参数" x# d" W9 B8 P s0 Y# k
Null hypothesis, 无效假设
2 L- S' i& |/ o. z! Q aNumerical variable, 数值变量. E* n: V7 j# W9 k, _ X' q' K
Objective function, 目标函数
3 `: s* `$ ^8 j8 qObservation unit, 观察单位" y( {* O7 m( S( n3 r; ?
Observed value, 观察值6 E7 f+ N* y' t
One sided test, 单侧检验. S: |+ }: i4 I) {6 Y
One-way analysis of variance, 单因素方差分析& _0 l h' T8 b# W. I, a1 ]
Oneway ANOVA , 单因素方差分析
7 |1 z" Q1 q% |" `) |Open sequential trial, 开放型序贯设计
: w5 A0 o2 C) f" M# \5 ^Optrim, 优切尾) E G* a6 ` `1 F& g
Optrim efficiency, 优切尾效率
4 A3 R# N! G/ M' Y! e& h3 VOrder statistics, 顺序统计量: x C2 N p" i' Q$ y& j
Ordered categories, 有序分类
, ?% M1 \, [ lOrdinal logistic regression , 序数逻辑斯蒂回归
4 ^' C+ d- F# d A4 z* VOrdinal variable, 有序变量
) U9 w8 [$ f4 v% O6 M# t0 aOrthogonal basis, 正交基4 |2 Z% L$ {0 F; x. G
Orthogonal design, 正交试验设计
* W& a$ T4 t5 x/ X7 I; H( k5 BOrthogonality conditions, 正交条件% @' L8 m/ [4 M7 J
ORTHOPLAN, 正交设计
4 P; _4 S8 z. A% z1 y/ J _5 vOutlier cutoffs, 离群值截断点# m4 ?% W" p! S+ ]
Outliers, 极端值( r. F4 e+ h0 I6 k; _- J% p
OVERALS , 多组变量的非线性正规相关
2 @% Q5 E9 W$ zOvershoot, 迭代过度, a3 ~4 z# O( o
Paired design, 配对设计
" `& d8 \/ z+ c8 o, lPaired sample, 配对样本9 Z. s, ]5 T2 k" Y# R# e0 O) t
Pairwise slopes, 成对斜率
n- a, z6 T7 S' x; }0 |Parabola, 抛物线$ [3 m! ^- {- w$ W: |% [
Parallel tests, 平行试验7 p2 t9 g/ X6 b! S3 l" c6 _* c
Parameter, 参数
" g6 z: `) E, UParametric statistics, 参数统计2 m0 s/ _/ K0 N
Parametric test, 参数检验
& {9 f! }+ v% d2 d1 h' [/ n5 cPartial correlation, 偏相关& w/ s( A5 X5 F. K4 [! [. b
Partial regression, 偏回归' _% q- _8 y' U6 B
Partial sorting, 偏排序, O. s5 L: y5 S: S }3 m
Partials residuals, 偏残差$ q# u9 {5 x5 [$ X' T
Pattern, 模式3 w' g, m" K* _* y1 ]
Pearson curves, 皮尔逊曲线
3 {6 R; o# Q% B* E) K; T( c9 ^3 BPeeling, 退层. I) m. C: {, I2 a
Percent bar graph, 百分条形图
. T+ V+ O' ~1 f+ tPercentage, 百分比
9 b6 C4 k! E3 a) y* S( uPercentile, 百分位数
+ R$ Z1 ?) Z s& T1 o/ C! e; VPercentile curves, 百分位曲线
: H6 J( U: o& J0 `- wPeriodicity, 周期性
7 j- l% V9 r$ R# N* [; ?* D8 |Permutation, 排列
0 G' `9 q; N7 I& GP-estimator, P估计量$ ^8 ?5 w6 x- Q0 S4 R! D
Pie graph, 饼图
% H2 ^( Q$ A4 _Pitman estimator, 皮特曼估计量
2 ]( }' n6 a G9 e- N8 g. N' f& H% G+ NPivot, 枢轴量
. w+ {& o' A$ q) HPlanar, 平坦 W7 h; F# Q. @/ P# T
Planar assumption, 平面的假设3 V! W5 m+ `5 Z& A4 `% \
PLANCARDS, 生成试验的计划卡8 ?1 b# q* b+ Q2 a+ r4 }
Point estimation, 点估计
. J u: g) f# \% uPoisson distribution, 泊松分布# h- }. q2 w8 }; u. T2 J8 m
Polishing, 平滑: j3 f; |$ q: g* n7 s) c
Polled standard deviation, 合并标准差# {7 S8 L( a' a8 X% \) c
Polled variance, 合并方差1 M- s7 c9 r! t: s# e [
Polygon, 多边图
/ d- g& `7 P$ C( e# vPolynomial, 多项式' p1 @. { N( J5 {; z2 s# a
Polynomial curve, 多项式曲线) g" I% C! j' _% p3 V0 ~
Population, 总体( |; G- |& X _4 w" E
Population attributable risk, 人群归因危险度! n! V; U2 E% B- x
Positive correlation, 正相关( \- b# b1 X' v& Q; }. }' k
Positively skewed, 正偏2 L2 e5 _$ \3 n* q V
Posterior distribution, 后验分布
, ]+ O4 ~/ w" P( {Power of a test, 检验效能1 c' ]/ o9 G( {: f' p
Precision, 精密度
; `4 F5 v4 A3 v f3 @+ G* j) |+ cPredicted value, 预测值
" k6 S8 g: _6 jPreliminary analysis, 预备性分析& e" |) f% Z* z- h+ r
Principal component analysis, 主成分分析
0 c, |# W+ C, L, ]1 N8 q9 Q ~' [+ GPrior distribution, 先验分布 O# A5 P5 K/ l
Prior probability, 先验概率
5 s+ d3 k( \) jProbabilistic model, 概率模型
0 y: t8 ? U0 C7 z2 a, V/ T# r L6 E+ Jprobability, 概率/ ~- U, _7 q3 \# V' e: m4 P) ?% T# [
Probability density, 概率密度& V8 @) f0 M2 B; R2 K5 u' P- @
Product moment, 乘积矩/协方差- s- B* |5 j! G( p
Profile trace, 截面迹图
! w% o2 J0 L. ^4 |' M" PProportion, 比/构成比+ j% V5 W$ Z) z d1 Z2 \
Proportion allocation in stratified random sampling, 按比例分层随机抽样& b8 i% E) q; A! h
Proportionate, 成比例7 ?& e1 Q8 d! C; O( |
Proportionate sub-class numbers, 成比例次级组含量
7 k- V G1 P+ n8 U9 JProspective study, 前瞻性调查- N7 B) ^5 ]3 _3 E8 x: R7 W
Proximities, 亲近性 % A. p, e9 [4 p) B1 @
Pseudo F test, 近似F检验
+ w4 e, o; M, p9 EPseudo model, 近似模型5 @$ Q3 F$ n) |# W
Pseudosigma, 伪标准差
7 C" V2 q9 t# v2 M: U: K1 uPurposive sampling, 有目的抽样1 l) f) V0 q- ~ T- G
QR decomposition, QR分解
7 R) Z7 M5 I2 m8 O6 T/ l+ ?Quadratic approximation, 二次近似) F' m- y# l0 ^( D
Qualitative classification, 属性分类
9 \6 m3 X* o: y* N, w. bQualitative method, 定性方法+ b' c$ \; w& N$ i: }5 E
Quantile-quantile plot, 分位数-分位数图/Q-Q图
2 b9 v! P* i1 IQuantitative analysis, 定量分析* c. |1 h' l" l
Quartile, 四分位数
6 F7 \" S+ q, _9 RQuick Cluster, 快速聚类3 A6 ^2 s* I6 v3 H1 M# L( F2 |
Radix sort, 基数排序
3 z, r1 z2 s; Y/ _6 }Random allocation, 随机化分组4 E+ u; B; A! _$ D
Random blocks design, 随机区组设计
& h9 b& d" w1 O2 V( aRandom event, 随机事件
# F3 N* ^, p) Z3 v6 t9 }6 y1 uRandomization, 随机化% R+ N6 J" `5 _ r) W- x
Range, 极差/全距
! P5 `; e5 o/ y1 F3 z% B7 A: hRank correlation, 等级相关
0 ^1 E2 M% v* PRank sum test, 秩和检验6 C' R: n8 }9 o& R' q
Rank test, 秩检验" P. k' q. l K, s+ {/ ]
Ranked data, 等级资料
0 H- q, q" H l+ F" h; S9 nRate, 比率- h2 p2 l$ f8 Y5 q! p1 ]3 l$ r
Ratio, 比例
- G4 e- A1 h4 D, hRaw data, 原始资料
6 e! Q6 k- ]5 }& b) qRaw residual, 原始残差
_& v/ Q1 n! M7 p7 R( }Rayleigh's test, 雷氏检验% g( `+ k$ p+ x" w9 e
Rayleigh's Z, 雷氏Z值
3 `& m/ B1 r; MReciprocal, 倒数0 @. N- s+ K" |+ d7 z1 @
Reciprocal transformation, 倒数变换
! O1 }1 d! C! o( n2 N, v; I8 S2 XRecording, 记录( R/ h% I# ^2 u# {
Redescending estimators, 回降估计量
. D6 ?1 u/ ~4 FReducing dimensions, 降维
" s% @+ y& ]* G+ k+ E& \) t* R- DRe-expression, 重新表达
3 s+ i, e& P- @) kReference set, 标准组
. ]$ a/ {: [; O& s7 w! k: k: x5 G+ `+ zRegion of acceptance, 接受域3 u6 R3 g- {1 _5 d" W5 X
Regression coefficient, 回归系数9 }2 [) E# W; Y
Regression sum of square, 回归平方和% n# `- }: {# U" U4 X
Rejection point, 拒绝点
( S0 }5 W/ x( h- t: U% SRelative dispersion, 相对离散度
" Q; W( U/ T. QRelative number, 相对数3 K; c/ }! Q Z
Reliability, 可靠性8 j7 I L/ p! I* E3 G0 n f
Reparametrization, 重新设置参数
: Y7 i8 x) R& z* p+ cReplication, 重复
' x1 J+ H7 r& M O; r9 }3 zReport Summaries, 报告摘要) m; x9 {4 v# R; S' d" D% w. `- I+ c" N
Residual sum of square, 剩余平方和
. R% H6 N& X/ Y) kResistance, 耐抗性
- N- t$ a: |1 n nResistant line, 耐抗线
& ^! N+ x2 D' O, M2 N9 ]1 I4 NResistant technique, 耐抗技术
$ r8 G8 J& B5 J. L. e) IR-estimator of location, 位置R估计量% D8 |" {; y/ m4 n5 H4 u& Y+ \; Y
R-estimator of scale, 尺度R估计量
6 z* l* ]; ^+ y2 ~! ?& ?1 v4 lRetrospective study, 回顾性调查 d" e- `: h9 `; Y' _8 r
Ridge trace, 岭迹
, V9 g0 i/ T* K, h: j: i' E$ ~Ridit analysis, Ridit分析
! Q) u" J+ g" E. D5 h$ @3 QRotation, 旋转
( `' W1 f3 J4 A& V1 x2 xRounding, 舍入# U- Q" y% i+ i+ |5 @
Row, 行
5 v& o3 [: p( {% R- I8 S* F1 }- L% lRow effects, 行效应# R' k8 [2 Z8 M' F( u# j: {, ?2 s
Row factor, 行因素$ K' h8 {! S# C# q
RXC table, RXC表& M, j _! s& b0 S
Sample, 样本
& z& q; m0 u: Q0 g0 U4 kSample regression coefficient, 样本回归系数
" A/ J4 L. A! ]; c" n$ _) b j0 qSample size, 样本量
5 [3 {0 z9 y- Q/ g5 {7 ySample standard deviation, 样本标准差3 y- ~6 ?9 S% v/ j* c
Sampling error, 抽样误差4 l6 n1 _6 o# q8 y
SAS(Statistical analysis system ), SAS统计软件包
9 C( A5 _& N& x3 ^% XScale, 尺度/量表- K4 Z8 |. w/ I! {- v/ v
Scatter diagram, 散点图
5 w0 V) Y, Q' P+ L. ?Schematic plot, 示意图/简图
+ J: j% A( Z0 A7 h% QScore test, 计分检验
3 y/ ]1 J( t0 qScreening, 筛检. e$ k8 ^& Q7 u6 z4 F. q
SEASON, 季节分析
u/ K: B2 M! c2 o% ]Second derivative, 二阶导数& ?. Y \( l' n! H
Second principal component, 第二主成分# c. x/ g; K- X# g/ b+ R, P
SEM (Structural equation modeling), 结构化方程模型
* Y3 c- g" x0 S1 ~ M. R) WSemi-logarithmic graph, 半对数图) L0 q5 R5 H5 @! L H5 S; i
Semi-logarithmic paper, 半对数格纸) ]8 A& v, w W; w! y2 l! O( }
Sensitivity curve, 敏感度曲线
$ M$ L8 Q' j( e" J7 mSequential analysis, 贯序分析$ v# ]1 v1 |+ f3 g7 B
Sequential data set, 顺序数据集- i( ]9 S9 v/ d" U
Sequential design, 贯序设计/ M, g3 r& t* u2 |
Sequential method, 贯序法
. ?6 n4 j6 A+ s- qSequential test, 贯序检验法9 H6 b& y# s# P9 e6 f' c
Serial tests, 系列试验: Y9 V! X# c& R
Short-cut method, 简捷法
2 ^. a; l9 |% I" X" F, {( p+ JSigmoid curve, S形曲线
3 h |( u4 L6 ^# D9 Q8 q$ GSign function, 正负号函数2 t+ q) x9 v' Y6 J0 E* v1 z
Sign test, 符号检验2 }# t) G) ]6 f) H
Signed rank, 符号秩
: [7 J" H$ h" W# B$ r0 G/ qSignificance test, 显著性检验
: y2 c/ E c8 \& ]" iSignificant figure, 有效数字: r# c! X0 A- E6 ^
Simple cluster sampling, 简单整群抽样
9 F; [5 I! U) SSimple correlation, 简单相关
. m2 e/ a+ K& r0 ~' M# q6 RSimple random sampling, 简单随机抽样
$ h4 G; P5 P8 a# rSimple regression, 简单回归
& S8 N' ?$ Y+ P9 _; ~simple table, 简单表* `) n. {% e- k4 e! R( ]
Sine estimator, 正弦估计量
" U* C6 N4 Q, g1 ?/ C' JSingle-valued estimate, 单值估计
; u! J/ k0 v' D- i( DSingular matrix, 奇异矩阵
$ W( {; I' T7 n5 ?# ISkewed distribution, 偏斜分布9 M9 U5 t2 a# M% O- c I1 h# H
Skewness, 偏度/ o& |) b2 P5 B9 r6 k
Slash distribution, 斜线分布
6 b6 }$ }0 ^) \! Q, u$ |Slope, 斜率
3 H# d/ [8 {4 t$ R5 j; VSmirnov test, 斯米尔诺夫检验" c, Q+ | D8 A9 o6 i
Source of variation, 变异来源
, |; p6 r, p6 n0 FSpearman rank correlation, 斯皮尔曼等级相关
8 ]( z Z& w* u& p& m; kSpecific factor, 特殊因子
' ^3 \* D8 _# K9 {/ ` ]6 W' f$ v7 ?Specific factor variance, 特殊因子方差# B- O) |' B. ^2 Y
Spectra , 频谱8 a* Y3 h) M5 x1 G" h* d9 B0 q
Spherical distribution, 球型正态分布4 c4 }9 e* B! ]# d" W
Spread, 展布. C( O7 ]* { {9 A" S/ J. W
SPSS(Statistical package for the social science), SPSS统计软件包/ P& e/ K6 X0 b) h
Spurious correlation, 假性相关
. ~: V8 L' K% E& O0 B+ FSquare root transformation, 平方根变换* p( i0 y3 |+ q/ J4 T
Stabilizing variance, 稳定方差0 P& }, Y! _2 N' x. ~" Q
Standard deviation, 标准差
( H- X% Y: S1 ?1 `+ M. ~Standard error, 标准误; L3 k% M( `5 j- z
Standard error of difference, 差别的标准误8 a1 |, K4 K9 \( ~. J- Z3 J3 r% P
Standard error of estimate, 标准估计误差
( O+ V% w0 n# ^: L$ N1 v, fStandard error of rate, 率的标准误
* a( V+ \7 o# R( |7 ?Standard normal distribution, 标准正态分布* W9 o/ C( ` O7 R+ g
Standardization, 标准化
9 r$ }8 T5 ]( I* f$ g0 t1 PStarting value, 起始值
4 L+ X2 u+ z- u O4 WStatistic, 统计量$ i# C, V1 d0 b( @( Z/ `; @
Statistical control, 统计控制
# P( `! {7 Y% z+ f5 O% U( hStatistical graph, 统计图2 k. S4 d% D3 V# C) z
Statistical inference, 统计推断: F7 r1 S4 Q, m. ~9 W- i
Statistical table, 统计表- }( d: G& T) \
Steepest descent, 最速下降法
$ Z& `) S* H- I Q, L. i8 HStem and leaf display, 茎叶图
7 ^( `. l7 Z$ a9 @( dStep factor, 步长因子
$ M; `9 F- L9 A4 u9 Y D- ~4 EStepwise regression, 逐步回归& O$ y& F! X' ^! Q. ]+ U r) X9 S
Storage, 存, I f) }' R1 y3 J# o2 n! N
Strata, 层（复数）
7 P7 S% X; _% {2 ^7 EStratified sampling, 分层抽样 |3 X' K$ C+ y" c6 x* w1 H5 u
Stratified sampling, 分层抽样
3 W' B# t+ m4 }4 FStrength, 强度( Q4 b6 E! E5 K. ^2 P2 E
Stringency, 严密性
, F( y; k W2 d% N2 Z8 Z6 wStructural relationship, 结构关系
/ k3 f6 ]% z4 V: z. Q* w& lStudentized residual, 学生化残差/t化残差
# A7 h7 _+ C1 x% C! JSub-class numbers, 次级组含量' E5 R4 H6 X9 b0 z. W# l
Subdividing, 分割" {+ p1 i8 h# M8 }* `+ v
Sufficient statistic, 充分统计量7 V# b6 J; ?4 R# H8 M
Sum of products, 积和- E w: V- m! o' `, ?
Sum of squares, 离差平方和0 j& y4 ]" o3 B( z& ~1 E
Sum of squares about regression, 回归平方和. s+ `2 \. R8 w" l. F
Sum of squares between groups, 组间平方和
9 R8 n) V, E) y/ m! A2 hSum of squares of partial regression, 偏回归平方和
7 x5 t7 C" v2 tSure event, 必然事件( I6 l3 w# u% O h
Survey, 调查8 |7 U* E, r+ \* |: {
Survival, 生存分析3 \' H* e( r1 Y3 t! b: y
Survival rate, 生存率
- {8 g1 I4 ~. P+ E: ?Suspended root gram, 悬吊根图1 w+ g5 ?6 m( P/ p0 C _8 B; s
Symmetry, 对称
0 O9 B, j" x' MSystematic error, 系统误差
0 ^% ^2 W) M& J$ r8 N! hSystematic sampling, 系统抽样
" b, ^3 |; f( b6 STags, 标签
: ]5 f& S c. E" B4 o: FTail area, 尾部面积
3 h5 ^" L8 g; }; E* WTail length, 尾长+ b3 j5 ]+ ]5 ~6 d% C1 G- G, \
Tail weight, 尾重* d8 [% A3 {2 F$ q( B6 b
Tangent line, 切线; C$ \# z4 M J$ l2 N
Target distribution, 目标分布- ?0 O' ~+ I& O
Taylor series, 泰勒级数
4 c5 y; K8 p: c DTendency of dispersion, 离散趋势! W# Q# x, b3 [4 v" r
Testing of hypotheses, 假设检验
5 |8 {9 V% `. N* c# eTheoretical frequency, 理论频数
( Y) R+ U. P, ^7 f0 u( rTime series, 时间序列2 `: A6 ^+ p% V2 Y* S2 k( a6 R* y
Tolerance interval, 容忍区间) d+ P4 L. b, k- X) Z9 n
Tolerance lower limit, 容忍下限, |1 p( B4 Z. _& p/ O1 h; v
Tolerance upper limit, 容忍上限
. O" G. n; u8 ?) x8 eTorsion, 扰率
# y ^0 K( E$ \ M% f1 GTotal sum of square, 总平方和
. g# U& ` w+ q: lTotal variation, 总变异 P1 A1 d6 y9 f0 u8 [; Y& \
Transformation, 转换
. s' v: s! s/ e9 G/ e9 JTreatment, 处理
3 y+ t( R4 h. HTrend, 趋势
0 t$ O: }0 g# G) k- F0 h, w* a bTrend of percentage, 百分比趋势# O9 Q- O* a+ b
Trial, 试验5 A- c; y& k* P/ ^9 V) ^! K
Trial and error method, 试错法
2 R1 V! j* D' ?8 @& [+ c4 KTuning constant, 细调常数& `, l! w/ A% G! A- ?0 N$ v
Two sided test, 双向检验
- X! u0 e# K4 ~$ x2 N& nTwo-stage least squares, 二阶最小平方% n5 f- V0 v$ Z: N# o
Two-stage sampling, 二阶段抽样
* ?$ C5 X7 k, o% X7 ITwo-tailed test, 双侧检验
# u& Z" P: Z6 b m3 D# U( GTwo-way analysis of variance, 双因素方差分析8 _1 y/ ]$ _; \4 ?: g* W2 K
Two-way table, 双向表8 @% c' t* D/ V- D. b, N( [6 {
Type I error, 一类错误/α错误
3 q' s/ w# u4 C; K3 oType II error, 二类错误/β错误# |8 Y# M" C( K+ i; _& ]
UMVU, 方差一致最小无偏估计简称' r/ H0 F6 a. G! N) I% m' [1 ?9 r
Unbiased estimate, 无偏估计; N8 E/ @* Y( h* U
Unconstrained nonlinear regression , 无约束非线性回归
6 w+ L- P# R! k: lUnequal subclass number, 不等次级组含量
& o" E' P( c# Q) c- p/ i) wUngrouped data, 不分组资料
! k6 `& E& R0 \3 {# u( BUniform coordinate, 均匀坐标& Q4 g8 F" O B# ^
Uniform distribution, 均匀分布4 n6 o+ p4 W/ t2 d5 R; s
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
! R* p0 }/ A" A# A& }Unit, 单元
' g5 ]* x$ A; F1 wUnordered categories, 无序分类
7 t8 I5 d3 U8 _Upper limit, 上限
$ u4 V/ [. t+ L3 ? `Upward rank, 升秩
0 z# m. I# w# d5 v; l1 B* o. f; hVague concept, 模糊概念
" G b9 y9 [9 y! P- s9 XValidity, 有效性
& b* [ k8 I. Z- E. v- J3 ~VARCOMP (Variance component estimation), 方差元素估计
, L6 _- M0 K- ]2 g7 q& X0 C XVariability, 变异性
, x% C, W# l) E7 Q) GVariable, 变量7 N7 K4 n4 A; J" L& M
Variance, 方差
5 k& F( `0 W! IVariation, 变异. r8 [) O9 D& K2 g8 a5 v6 H9 w5 y* \* z
Varimax orthogonal rotation, 方差最大正交旋转9 k/ |# t3 G. d5 h& Y
Volume of distribution, 容积6 _/ L5 d& r& j1 o/ `/ m
W test, W检验
2 h$ O( z! D) ~8 S! wWeibull distribution, 威布尔分布
/ G+ K0 Y4 j4 f0 QWeight, 权数
3 T" @$ e9 j$ n8 }Weighted Chi-square test, 加权卡方检验/Cochran检验
$ y0 v& ]+ x) d, m( DWeighted linear regression method, 加权直线回归/ d( L4 P0 v! i9 W, h( }- O2 f
Weighted mean, 加权平均数% _. H: K! v" O5 l( z
Weighted mean square, 加权平均方差* _( A8 o) J% c
Weighted sum of square, 加权平方和
0 b/ l' @* W0 Z$ O! G2 JWeighting coefficient, 权重系数4 z' S& h0 S4 F3 F
Weighting method, 加权法 , f* r! O' k8 F: _- I/ n8 m
W-estimation, W估计量" `2 U: x9 T3 U. o/ g, a N" f" a& o
W-estimation of location, 位置W估计量
2 C* j3 P4 `6 DWidth, 宽度; I* t( [9 [8 {, j% E4 B
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
& O3 P `* ]4 \, d: @Wild point, 野点/狂点
y: n8 x8 e- U3 y, O) X! eWild value, 野值/狂值- L- t+ m; \2 o5 F- U n
Winsorized mean, 缩尾均值! P; x% Y0 o5 \9 L3 q' ~& S
Withdraw, 失访
" g8 W. m/ z ]. WYouden's index, 尤登指数
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发表于 2009-1-6 22:05
