|
|
Absolute deviation, 绝对离差
K: k( z$ i- Z L* C# o" lAbsolute number, 绝对数; N7 I+ t6 \: a3 @: ~. H. e
Absolute residuals, 绝对残差
9 y" G7 j' Q. jAcceleration array, 加速度立体阵 c2 p' O; z3 T
Acceleration in an arbitrary direction, 任意方向上的加速度
0 L5 } a; q- f+ g3 |4 z5 SAcceleration normal, 法向加速度) z$ J9 H' ]$ u2 M
Acceleration space dimension, 加速度空间的维数
9 p- g( }( X4 V) Y! O0 C# nAcceleration tangential, 切向加速度
: O+ {5 m! F! J# p. eAcceleration vector, 加速度向量# Q4 K- g, c; [1 V7 e7 S
Acceptable hypothesis, 可接受假设3 X- W1 H, W3 a8 X2 ]" s. _8 A
Accumulation, 累积" r/ G% Y# R0 f6 b
Accuracy, 准确度$ K$ L, v5 @4 g* z" P; k, `
Actual frequency, 实际频数
# O2 f) m9 O" e4 t% D- TAdaptive estimator, 自适应估计量
; ~$ Y- e9 L! T! l- R3 |Addition, 相加
2 }7 n1 z1 [) J o' _Addition theorem, 加法定理
9 r& ?7 `& n4 Z/ b" Y1 qAdditivity, 可加性
* g* m) G+ z1 _& I/ e% q2 f9 l1 DAdjusted rate, 调整率
3 i: @4 J h( tAdjusted value, 校正值9 W7 m _; w- Q3 {
Admissible error, 容许误差
) O( ?3 Y! K: r" @Aggregation, 聚集性+ Z& X5 C- o, Y) Q
Alternative hypothesis, 备择假设1 x+ v# q& ]! h& Q: u6 d) f6 i2 {
Among groups, 组间! a. {/ H) L5 a# V# S) @
Amounts, 总量, S* d B6 C2 K' F
Analysis of correlation, 相关分析0 n, y! {+ x2 x9 f( i) x- c) I
Analysis of covariance, 协方差分析
6 o+ g6 r& f8 l9 uAnalysis of regression, 回归分析7 r5 J5 M, W9 f" v7 F
Analysis of time series, 时间序列分析
+ L i2 r; e( ~8 i% qAnalysis of variance, 方差分析 {0 k8 A% |# C# o+ X& P
Angular transformation, 角转换
( U- ?- M6 `* y( o6 r4 ]; d- ZANOVA （analysis of variance）, 方差分析2 @" `! T' T+ W
ANOVA Models, 方差分析模型
2 D! r; M8 Y1 fArcing, 弧/弧旋) e ]$ M0 h. I, x) y: W% k% n
Arcsine transformation, 反正弦变换
$ d+ ?: T6 W( D1 t8 k# D4 BArea under the curve, 曲线面积' I( j2 \. t8 h
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
$ d9 x( G( D. e* C y1 yARIMA, 季节和非季节性单变量模型的极大似然估计
+ M+ F1 Y7 q0 x7 m* d, w* d1 Z$ B) {Arithmetic grid paper, 算术格纸
, N+ `% l& L, w# l P, h- V5 S( {Arithmetic mean, 算术平均数) p5 H7 M/ _5 _5 \
Arrhenius relation, 艾恩尼斯关系) Z% W4 A3 O5 Y( ?9 k/ | F0 d5 y, \
Assessing fit, 拟合的评估# G/ X3 |, ?" f
Associative laws, 结合律& x( p' \1 J3 h" C( A
Asymmetric distribution, 非对称分布
9 Q8 m# p [1 p9 ]Asymptotic bias, 渐近偏倚
5 S' ]( s4 Y7 `& SAsymptotic efficiency, 渐近效率
+ \7 Z9 I& D( K3 CAsymptotic variance, 渐近方差3 h; v4 u, [* {7 g- [( L
Attributable risk, 归因危险度) i+ m4 z' f! U b
Attribute data, 属性资料
. h* x9 j2 N: N/ d% F& ^( ^; F! J" SAttribution, 属性9 ]9 y/ E% r& K4 w1 r J* H% U
Autocorrelation, 自相关
1 f! p2 W% z8 E9 g2 h7 \Autocorrelation of residuals, 残差的自相关
, ?% T1 P0 B# D8 F, W2 pAverage, 平均数
( w9 [, w: ~9 T4 I+ N% }Average confidence interval length, 平均置信区间长度
: ]' \4 w2 ^2 V8 f; gAverage growth rate, 平均增长率$ q/ N8 {. C8 E% i
Bar chart, 条形图. r7 X6 E' z1 d. E- I; K% {
Bar graph, 条形图/ T5 Y. _5 a# a: n: M
Base period, 基期
/ K, P3 z7 a' a+ GBayes' theorem , Bayes定理
% w! \) s, J6 U! SBell-shaped curve, 钟形曲线6 }; s& | k/ R q- b' W
Bernoulli distribution, 伯努力分布
4 f8 K% Z4 `# [6 n! W/ tBest-trim estimator, 最好切尾估计量0 Z: U" E, j6 ?7 b7 x
Bias, 偏性
* Q0 n; a, W5 F+ [3 l }( ?0 @Binary logistic regression, 二元逻辑斯蒂回归% ~: w! M7 K5 S
Binomial distribution, 二项分布
" B7 O1 e( ~2 X. W/ R# }Bisquare, 双平方
. k- j' F, h* C5 ?* h8 bBivariate Correlate, 二变量相关! k5 h! s, @# I5 c/ B
Bivariate normal distribution, 双变量正态分布
, K/ n1 r) I B b/ R; F8 r1 K6 _Bivariate normal population, 双变量正态总体8 z- Y4 r; N: b) l) k% G; N) J
Biweight interval, 双权区间; H+ J5 n* a, a; M5 p$ y
Biweight M-estimator, 双权M估计量
0 t" D! [2 m! W* b2 B# \Block, 区组/配伍组
- Y( U l9 m$ @* EBMDP(Biomedical computer programs), BMDP统计软件包
: e Z/ I) x* {# HBoxplots, 箱线图/箱尾图& Q3 y' J& T+ T& A
Breakdown bound, 崩溃界/崩溃点
- X$ n' b/ i& Q3 I3 f% t7 DCanonical correlation, 典型相关
7 K0 W- l5 Y5 gCaption, 纵标目: A! g& D3 b6 E7 D* d5 p) z# r
Case-control study, 病例对照研究
5 `& ^( T# a: c% b( S) SCategorical variable, 分类变量+ p/ K4 n$ Y5 P. k1 Z
Catenary, 悬链线
" w5 e# @3 F Q9 I. |4 n4 J: f1 mCauchy distribution, 柯西分布
) n* S+ |' Q# hCause-and-effect relationship, 因果关系/ L( v4 o7 A5 N5 S5 a5 C) c3 Z5 X
Cell, 单元; J9 L8 e; ~' n9 ^# k
Censoring, 终检
6 F# K: S6 u$ }( G6 }& DCenter of symmetry, 对称中心
/ j& s+ J ^4 c3 |7 xCentering and scaling, 中心化和定标4 _$ p1 T4 k- v8 Y- `
Central tendency, 集中趋势
6 x. I+ c( ?3 L! p S: [Central value, 中心值
7 I' S6 h9 G' B3 {, G2 O vCHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测" j+ N9 K/ F3 _( K9 r6 |
Chance, 机遇- y& Y' k9 d0 {: V
Chance error, 随机误差
J$ l; k6 x' \" r, q4 nChance variable, 随机变量3 |3 A0 a/ F, s4 F; ]
Characteristic equation, 特征方程5 w3 @7 v0 g. Z
Characteristic root, 特征根5 I! l3 z0 x u: }7 o1 |4 t8 }
Characteristic vector, 特征向量1 x1 i& V, i! o7 X. x+ b( \
Chebshev criterion of fit, 拟合的切比雪夫准则
4 w5 m3 H' l2 Y% w9 YChernoff faces, 切尔诺夫脸谱图2 B) m' Y/ Z3 d; U3 `/ j
Chi-square test, 卡方检验/χ2检验
" M# z" W9 X& K3 ?+ m1 U2 ^Choleskey decomposition, 乔洛斯基分解" `9 K8 ^" a& T# l3 w
Circle chart, 圆图
5 a. K: o; A" [" T( cClass interval, 组距* ?- k+ k: k6 t0 j
Class mid-value, 组中值4 O. R( ]* F( v5 F# K
Class upper limit, 组上限/ f: ~0 E }, ~/ V
Classified variable, 分类变量! l$ u, F$ a( a7 F E8 q
Cluster analysis, 聚类分析( k) h" ~. f) c
Cluster sampling, 整群抽样
, I* x2 N/ @2 B9 P8 n3 m5 ^Code, 代码
) |" Z: r+ n+ H! i+ cCoded data, 编码数据# |2 T9 F: {! S& Q& u1 @) S2 {- F) `
Coding, 编码
' J! F- H* R" z: [Coefficient of contingency, 列联系数
0 |, I9 q6 b, I% [Coefficient of determination, 决定系数6 v; q" X4 T+ M& Y
Coefficient of multiple correlation, 多重相关系数- k8 c, S/ N# }
Coefficient of partial correlation, 偏相关系数' M# X+ l. m" L! \
Coefficient of production-moment correlation, 积差相关系数
) [3 u% \% e' G& n# }8 iCoefficient of rank correlation, 等级相关系数' J8 I5 K6 ]/ L7 ~# S/ k
Coefficient of regression, 回归系数$ _+ ?* i0 x* L; n# `: P
Coefficient of skewness, 偏度系数 @2 f8 s( F$ Z* N/ Z+ U4 q. g. O, N3 c
Coefficient of variation, 变异系数
; l* X2 u+ D- W' q4 kCohort study, 队列研究- g' i+ _3 q* {3 T% z& ^: Z
Column, 列* D# g! \/ i" g; l* G: x
Column effect, 列效应# N" Q9 i. t5 `
Column factor, 列因素
! B, `4 `( G) hCombination pool, 合并, E @/ @4 a. k* S" w. d# H4 ?
Combinative table, 组合表' s" ?6 t+ z* c0 D- l- u
Common factor, 共性因子
8 f8 H0 D" }. M$ m- g* w+ x7 P, }Common regression coefficient, 公共回归系数
5 E C: ]3 K4 K0 A" V5 \4 G3 |Common value, 共同值+ z# I! C8 k3 C6 _$ S2 j& s4 I
Common variance, 公共方差, X4 K7 d9 m7 A5 `! b2 l; ?
Common variation, 公共变异
8 ^0 j/ [$ G O/ B' A$ jCommunality variance, 共性方差
. g& t; I. O6 jComparability, 可比性
* k# @: J7 O4 ~7 gComparison of bathes, 批比较
( E0 E- u% W+ e$ T% L& qComparison value, 比较值: n1 ~5 H" R: _( F4 A
Compartment model, 分部模型
% V1 ], b+ }; d F, |- tCompassion, 伸缩
$ f z' J2 E9 s# j3 X5 uComplement of an event, 补事件
% U" Q2 ]: j/ _" k6 j" }Complete association, 完全正相关% L5 j: H: ~- o; h) t; k
Complete dissociation, 完全不相关6 A( K" O0 D9 h% j4 X4 ?0 g3 t
Complete statistics, 完备统计量, e5 q; ~. \: R4 [8 |
Completely randomized design, 完全随机化设计
6 d) r0 V. ^' b& ?' O# U! OComposite event, 联合事件/ _& e9 G% b) f6 z9 d5 y( v( S
Composite events, 复合事件% V: `+ h& A9 S0 Y. f
Concavity, 凹性& ~5 u, E4 X4 Z3 S4 A
Conditional expectation, 条件期望
' ^( F" K! g+ L: k/ R) VConditional likelihood, 条件似然
; D& h8 F0 R" e# o9 EConditional probability, 条件概率
( Y9 m3 Z6 c* y( nConditionally linear, 依条件线性5 S4 P/ Q% r( `: W6 {7 @
Confidence interval, 置信区间
0 w9 f) x0 q4 \# m! r; {9 |5 vConfidence limit, 置信限, Z) O* P1 ~" i2 D( N% d' [' B, k. r
Confidence lower limit, 置信下限( ~9 i( c9 M' A, j1 D) k
Confidence upper limit, 置信上限
; R. f' ^, x+ fConfirmatory Factor Analysis , 验证性因子分析
* H1 ^9 ~+ L5 |+ O) @* a$ aConfirmatory research, 证实性实验研究+ [6 J; z& S! i) P
Confounding factor, 混杂因素0 h/ P, o: I$ |$ _5 r
Conjoint, 联合分析
- V8 B5 [% O3 x0 v5 rConsistency, 相合性
5 ]2 R+ |# p/ _+ ?3 M) l7 b8 ^3 d, p: nConsistency check, 一致性检验
' x5 |- f8 s' N4 x9 ^ p. [Consistent asymptotically normal estimate, 相合渐近正态估计, x) Y4 i4 x6 [/ B. p4 g
Consistent estimate, 相合估计
! q( n- d2 a& Z2 ~# M6 `5 ?4 zConstrained nonlinear regression, 受约束非线性回归/ b P/ a! B% [
Constraint, 约束
, q9 C# a1 u7 `% x D1 wContaminated distribution, 污染分布) ?: e; I0 b3 k* _; E( F/ q
Contaminated Gausssian, 污染高斯分布1 C1 e7 e3 s' U }: K- K
Contaminated normal distribution, 污染正态分布* w$ @+ I6 U: r, J, u- N
Contamination, 污染
& }3 l1 s; Z0 ? lContamination model, 污染模型" E1 l& n4 t- l- v
Contingency table, 列联表: a, n) @7 I& S' Z/ S
Contour, 边界线
4 F. ?: c! m( N% VContribution rate, 贡献率* Q$ q1 u2 L9 }0 C! ]
Control, 对照& ?% J, i; \0 S; @, d7 E) _) `
Controlled experiments, 对照实验4 G( Z; ~: |' C
Conventional depth, 常规深度; ^2 o9 M. u! [( _7 [7 h8 u" J
Convolution, 卷积; o M& g6 T& l* f, E& J2 `9 t
Corrected factor, 校正因子& C4 l8 |! V, x- W+ S) G
Corrected mean, 校正均值* n! H! v1 W, v+ Z0 T
Correction coefficient, 校正系数
( N' ]5 M- }; R+ W$ pCorrectness, 正确性
; z H2 p" ~% h; R; @Correlation coefficient, 相关系数6 P8 r+ q: n7 A0 k& q, b% E
Correlation index, 相关指数8 M( X( E# _& c/ C- W+ ]# i) H
Correspondence, 对应
. o3 b+ S0 H5 x% O% XCounting, 计数. m7 @; x$ ]7 y; b$ k( t+ u
Counts, 计数/频数
) t7 N" g4 [+ t3 |Covariance, 协方差, z' J& c- h7 t, D) ^, _
Covariant, 共变
. `( ]& \# @3 D: N, u0 eCox Regression, Cox回归6 U7 h2 O \0 c+ I1 Y$ g
Criteria for fitting, 拟合准则! t/ g( b- Z$ Q q7 m) N8 j
Criteria of least squares, 最小二乘准则
) m) @6 Z- W* E+ B4 XCritical ratio, 临界比
. S$ y& j+ O+ t) {/ e8 YCritical region, 拒绝域, {7 Q: q+ a" W3 r2 z+ |9 k; ~' B' g
Critical value, 临界值9 r7 `- m( I, ^$ X
Cross-over design, 交叉设计- k8 Q1 c) B' g9 y
Cross-section analysis, 横断面分析
! x4 h k, [; f/ i+ F2 o( NCross-section survey, 横断面调查
# j; i- P! m% `+ ~& ICrosstabs , 交叉表
/ k3 m0 y, M/ t, eCross-tabulation table, 复合表
3 r8 |' w# O0 ^" H: r- sCube root, 立方根5 h/ R0 N# Q8 p3 ^
Cumulative distribution function, 分布函数
; ~ ?2 o# H* HCumulative probability, 累计概率8 e# V8 t2 y& N( k/ D
Curvature, 曲率/弯曲" d/ g1 h" o8 i$ k3 i
Curvature, 曲率2 R% F W1 T: v! X
Curve fit , 曲线拟和 2 ?! C5 |; O) H" G
Curve fitting, 曲线拟合
( t& K9 |1 D+ Z! h5 VCurvilinear regression, 曲线回归! q8 r f+ Q" g6 v
Curvilinear relation, 曲线关系: a4 N7 _4 Q/ ?1 C- v: A" k
Cut-and-try method, 尝试法
" R6 G" s1 I9 gCycle, 周期
& x# L/ m2 Z6 p( g/ q1 LCyclist, 周期性
4 e9 Q& c/ M" `D test, D检验
( H; |/ Z) O8 T5 k# f R9 w. p- XData acquisition, 资料收集
# y, r7 \3 q: ? DData bank, 数据库 M0 W( u9 D& b6 g! V5 k0 z% g1 Q
Data capacity, 数据容量
4 u; N" ?- t1 K8 |3 eData deficiencies, 数据缺乏
4 X) C2 q7 q& M3 E. }2 ~( \Data handling, 数据处理8 \/ x8 L; o, C3 D% w( N
Data manipulation, 数据处理/ _6 E7 K) a& m5 c
Data processing, 数据处理
m3 f; K; N( NData reduction, 数据缩减! w- ?1 r( m9 m& m2 a/ m( J, K& D
Data set, 数据集( ~, |1 |) s5 b' D: Q: V8 p+ m
Data sources, 数据来源" m# P/ O1 `: @4 W+ ]
Data transformation, 数据变换
$ J. ?, G; W3 FData validity, 数据有效性
( n9 W/ z8 y7 xData-in, 数据输入5 ]$ u% k0 v. ^0 {' I
Data-out, 数据输出
9 V( W; d! I$ hDead time, 停滞期
- X0 ^6 l0 K( }$ XDegree of freedom, 自由度
1 b4 T" Y5 C0 k: ?4 ]7 gDegree of precision, 精密度
% o6 N2 F! [' B# j7 UDegree of reliability, 可靠性程度3 h: u5 I' g# Y' @5 L0 e9 O$ ~1 Z: ?
Degression, 递减$ N3 k" O `; @+ E
Density function, 密度函数
9 l2 D2 x% e2 m4 N9 MDensity of data points, 数据点的密度
u, K0 T2 b! e$ _6 A; K( vDependent variable, 应变量/依变量/因变量# I g+ f# P# \+ c+ F
Dependent variable, 因变量
6 z# O& P1 y* c1 J1 iDepth, 深度
' N. ^0 T2 n( u5 J) F- A' |Derivative matrix, 导数矩阵
2 r! ]" f' [- ODerivative-free methods, 无导数方法8 z1 Y: `! q0 P' }8 k; g
Design, 设计
. ?: w; r n# x: ^0 W6 {+ WDeterminacy, 确定性0 Z E4 n& k- K& B2 F/ R
Determinant, 行列式/ N e& O- h4 M6 z$ z1 y
Determinant, 决定因素8 N. p0 z( f9 F$ a) z1 D# V
Deviation, 离差' K8 r$ _) ^0 A; j
Deviation from average, 离均差
9 e- e: `9 w9 TDiagnostic plot, 诊断图
" h: v+ s+ V5 H+ ^Dichotomous variable, 二分变量
/ o" ~$ P3 l" U# l" Q4 E1 @Differential equation, 微分方程
2 j. Y7 n! I% b8 `9 `8 z' P8 qDirect standardization, 直接标准化法
4 o- {% P$ J3 N4 ]Discrete variable, 离散型变量, q5 }" C; f8 f+ t
DISCRIMINANT, 判断 . E" Z9 | I: N! @+ |
Discriminant analysis, 判别分析2 ]4 w3 ]& N S* [4 ?" d H
Discriminant coefficient, 判别系数) H0 a# R3 H8 j) e; L
Discriminant function, 判别值; ~+ j* n2 z; ?
Dispersion, 散布/分散度7 q9 v7 ?6 Z. e& h
Disproportional, 不成比例的4 R$ g- S4 X2 R, z2 _5 q) p' k" q
Disproportionate sub-class numbers, 不成比例次级组含量( `5 p& k1 [9 B2 X% H
Distribution free, 分布无关性/免分布
8 r( f# b1 p g/ e: iDistribution shape, 分布形状2 Q9 Q: ~" n6 M' i/ U
Distribution-free method, 任意分布法" r. O- v2 O4 ~9 L& M
Distributive laws, 分配律7 _- n6 R/ Z9 i& [
Disturbance, 随机扰动项# d! f* [4 @' M8 E0 V
Dose response curve, 剂量反应曲线
; A- ^7 V! @& {; W8 mDouble blind method, 双盲法
0 u$ W# }# O3 J; m8 ~$ j) [Double blind trial, 双盲试验
" y1 H/ Y4 Y" q) Y7 Q8 l; Y- RDouble exponential distribution, 双指数分布
* ^1 o6 g& r/ Z, H) s- \Double logarithmic, 双对数
: Q3 Q# y) b" |) o8 ?" ?. cDownward rank, 降秩) `0 e5 _. U8 T) I" ]; s" v3 o
Dual-space plot, 对偶空间图, x; `! ~3 K {: h. r- p+ P5 B
DUD, 无导数方法
8 g; Q0 j( M: u% u6 W+ F. xDuncan's new multiple range method, 新复极差法/Duncan新法+ h! D; D- X: N; h$ @
Effect, 实验效应8 K$ T# Y9 B. v$ t$ G* A4 M: t& W& g
Eigenvalue, 特征值0 W# y- z; d; `( K
Eigenvector, 特征向量
7 l9 f, J! b% o; REllipse, 椭圆2 y; C+ i9 W/ d/ Y* b( |' m
Empirical distribution, 经验分布
7 X$ A) |7 J4 R) x. fEmpirical probability, 经验概率单位8 ?' R; ]* u3 i, w# M0 @2 M+ n
Enumeration data, 计数资料+ j4 t5 v# p- V# Q5 W. l& z
Equal sun-class number, 相等次级组含量1 S# _4 [, M* O7 `" T x
Equally likely, 等可能
6 d/ \1 w' Z- dEquivariance, 同变性% l! a3 {# n- z/ G$ M7 s
Error, 误差/错误# ?( l U6 G! S0 H# D
Error of estimate, 估计误差
$ U1 c9 t" Y) `+ p3 V; [Error type I, 第一类错误
1 m" {7 E; P2 {Error type II, 第二类错误
) O% b2 J- x- s0 X, O2 xEstimand, 被估量3 K& ~+ L* `5 I8 {( m' e
Estimated error mean squares, 估计误差均方: l a4 a# A3 f- P0 ]' a, Z9 F9 X
Estimated error sum of squares, 估计误差平方和- R! V+ Q0 P9 H' v8 R4 E: _1 S
Euclidean distance, 欧式距离. J7 |5 c! B, O" o! P! r$ m3 x
Event, 事件
, N( x5 x$ Q% C3 AEvent, 事件% m3 _9 h G& n X' D/ t2 y, J% @
Exceptional data point, 异常数据点
/ S5 D/ g' R M: x( A# JExpectation plane, 期望平面% [3 G4 G* ]# o# ~2 S; s
Expectation surface, 期望曲面
8 Y- {3 t; X! f+ s: P4 {8 m" {Expected values, 期望值0 z( `; \6 b- @; y6 c5 U
Experiment, 实验
$ m q, u$ P+ j9 `' H% [$ KExperimental sampling, 试验抽样; _9 s: _6 I# T0 X; M
Experimental unit, 试验单位
/ w7 E; |+ F( j% v: ]Explanatory variable, 说明变量0 ]; t5 l7 R, U; C( L- D
Exploratory data analysis, 探索性数据分析
# ^, O# \1 F. O/ o( X& HExplore Summarize, 探索-摘要# R, Q, G( B6 q- `$ i
Exponential curve, 指数曲线0 O/ Z1 z7 L( g; T( Z0 Y f7 g: j
Exponential growth, 指数式增长+ E) H7 Q2 e# z! v0 a( a4 {
EXSMOOTH, 指数平滑方法 . r5 G: p# j0 w2 {
Extended fit, 扩充拟合( x5 T m+ F; E+ d5 X! ?$ |
Extra parameter, 附加参数
* K g% l! i& OExtrapolation, 外推法' w7 V/ S% g, h5 K4 L' w9 H/ g
Extreme observation, 末端观测值! N! h: B/ D6 c8 p& X/ ]' L
Extremes, 极端值/极值: Y$ r C3 H7 I+ ]
F distribution, F分布
) g4 D0 I2 i% F1 e( Z& {F test, F检验6 L4 B; Y2 n4 P7 D
Factor, 因素/因子; [2 p! @+ `5 Y1 T+ L
Factor analysis, 因子分析
! E# ]7 u& R; |, Q( ~ V0 iFactor Analysis, 因子分析
9 `' X: E; U% CFactor score, 因子得分 : F; \/ `6 l/ J9 d
Factorial, 阶乘
- O* v+ w$ o/ y% E; B5 bFactorial design, 析因试验设计
" u& K3 Z2 ]0 m2 [* I sFalse negative, 假阴性
9 o/ t u) Z( u1 t6 N; E6 nFalse negative error, 假阴性错误 s5 b9 Y1 d: L* u1 d9 E; d
Family of distributions, 分布族
0 j) o. r8 o% X+ XFamily of estimators, 估计量族4 E, w& C0 O5 `
Fanning, 扇面
0 p: _( B3 u, M8 \, G) m9 U9 c' lFatality rate, 病死率
4 N. O- L- f( `6 G! M/ G+ J( ^, G1 D! ]; NField investigation, 现场调查
6 [) T. m& D* F: Q: C4 l& }Field survey, 现场调查
/ ~4 x1 v* _+ J9 n1 \! f9 \Finite population, 有限总体
* t& d+ {. R% F( W; OFinite-sample, 有限样本3 [9 t- p, M" `0 j' N
First derivative, 一阶导数
4 g" i; u1 J1 W: JFirst principal component, 第一主成分% D6 P, y4 |2 }; n3 \3 T
First quartile, 第一四分位数
1 N. h9 o6 j0 bFisher information, 费雪信息量
' j4 P j. u# [6 I% v, x$ FFitted value, 拟合值2 U$ F2 @- @; ?; H+ e; d
Fitting a curve, 曲线拟合$ |) B, K- U) \# M9 a+ s
Fixed base, 定基
3 N# P+ z8 C+ u' kFluctuation, 随机起伏% N" ~0 J$ t1 `8 L( E. F
Forecast, 预测3 m3 }3 ]# b( Z" |2 a& ~
Four fold table, 四格表9 J8 c; ]6 H' R* C- w( W
Fourth, 四分点
7 v' D5 S* T2 k) q% ]Fraction blow, 左侧比率% i8 S H& m+ J8 g* N
Fractional error, 相对误差
( ~6 d4 s+ ~, o U. T7 w# _Frequency, 频率7 J7 c3 Y6 A- {- y& o! ]! n
Frequency polygon, 频数多边图6 X; z5 M' K. N5 |6 Z L# s
Frontier point, 界限点# P6 A. d! `- T" t F" Y
Function relationship, 泛函关系
: e4 v- s s" N+ [: I8 o0 k# ?Gamma distribution, 伽玛分布
a- i5 t% g* ^& d1 IGauss increment, 高斯增量8 |: ]9 ^/ `: v4 z& r% Y" w
Gaussian distribution, 高斯分布/正态分布5 {1 j# M- N+ R1 n6 B
Gauss-Newton increment, 高斯-牛顿增量
8 A# Y$ r0 T9 h% qGeneral census, 全面普查( x l9 r% o- Q I, k
GENLOG (Generalized liner models), 广义线性模型 & i8 g! f$ ^) o, R K* K) P. Q
Geometric mean, 几何平均数0 ~6 W6 F8 Y, n' U* N7 w g
Gini's mean difference, 基尼均差6 S4 N. W2 A5 S2 Y" d
GLM (General liner models), 一般线性模型 8 }( f w; d* ^# R1 q, x
Goodness of fit, 拟和优度/配合度
. t2 k6 {& P+ nGradient of determinant, 行列式的梯度2 g& j) u$ x. Q- ~5 @
Graeco-Latin square, 希腊拉丁方, w) A4 M% i7 A
Grand mean, 总均值+ }# ^0 c; }1 i0 p/ O5 v# B
Gross errors, 重大错误: c! U1 w; s% K w( b! e/ y
Gross-error sensitivity, 大错敏感度
( e6 U5 h' Z. \# C, ?, V7 @ d4 NGroup averages, 分组平均6 U. w; `& B" e( e8 x( U& G
Grouped data, 分组资料
. a* x- P U+ ~/ l# I. n6 x6 uGuessed mean, 假定平均数% p d( B- S. D" R" `
Half-life, 半衰期
8 T M6 C l; Q$ A% o8 ^3 XHampel M-estimators, 汉佩尔M估计量
/ z1 J, o) U* ^7 S6 W; w! eHappenstance, 偶然事件
; h5 f. h' q7 x0 f0 BHarmonic mean, 调和均数 s2 v% ]; C' t+ \0 N' G. M
Hazard function, 风险均数5 l% Y1 V( c3 f* p7 o x
Hazard rate, 风险率
5 E* Y9 j% F, B3 Q. @ Z" AHeading, 标目
! }5 A: {6 W7 u$ GHeavy-tailed distribution, 重尾分布
! c2 ~$ f9 L, t: aHessian array, 海森立体阵. E8 Q. D3 ?6 o; z _1 N
Heterogeneity, 不同质# r- C- h+ j% H" j4 T
Heterogeneity of variance, 方差不齐 ) C0 ^* X4 k5 W$ ~6 g" l
Hierarchical classification, 组内分组
# h8 F, X5 `5 ^6 j6 b! w9 ]3 d8 q! }7 RHierarchical clustering method, 系统聚类法% q) N+ ^% m! [" R
High-leverage point, 高杠杆率点; B5 A( M: `+ x6 T9 V
HILOGLINEAR, 多维列联表的层次对数线性模型! |1 d2 s; c9 r ?" S4 e j- k4 o2 {
Hinge, 折叶点! p1 s, g5 _# Y4 K+ q
Histogram, 直方图
& o# u4 R$ K+ f7 V( HHistorical cohort study, 历史性队列研究
* R7 v* p2 L0 T' F& ^' FHoles, 空洞
/ h; b n. W8 V8 n ^6 `9 lHOMALS, 多重响应分析% D: R* Y- i z; ~; X
Homogeneity of variance, 方差齐性
- l0 o2 e! \- u& E( bHomogeneity test, 齐性检验
1 H: |8 c* Q; l) t$ A- pHuber M-estimators, 休伯M估计量
& ?, V) @1 K% JHyperbola, 双曲线8 @. ]; A1 d/ V) n8 O* t
Hypothesis testing, 假设检验6 U3 p* G; w0 W$ E; l7 ^0 d% [
Hypothetical universe, 假设总体
( [; o1 k# G0 b _Impossible event, 不可能事件( U) N- j6 R/ c
Independence, 独立性6 n1 f. `" t0 h" f
Independent variable, 自变量8 y) `+ A6 w8 m$ z% X R. E, v
Index, 指标/指数' r; S1 }' P: X$ ]$ q5 D
Indirect standardization, 间接标准化法- `1 K6 J0 M) f( P: l. v
Individual, 个体
S: d6 |9 X8 p! r9 O) f5 [Inference band, 推断带
, ]* G& K* g& ~7 P, }# h, G R* B" DInfinite population, 无限总体4 P& s. P$ E" u1 R* V
Infinitely great, 无穷大
1 w7 w0 P; r ^: `+ @6 aInfinitely small, 无穷小4 W* w6 C; q* Q+ d; g& ~& q# x
Influence curve, 影响曲线
; n& [- J9 U) r7 d: \Information capacity, 信息容量
2 s3 A0 C: [, Z& KInitial condition, 初始条件% M. H1 e; o# ~
Initial estimate, 初始估计值2 B" F. _5 h5 X+ Y
Initial level, 最初水平5 ]. U# z0 ]2 `. s H: Y2 z
Interaction, 交互作用
+ Z( c( N% S$ d3 \) ~# G# aInteraction terms, 交互作用项8 z. U: N8 W" ?3 ]/ w# y
Intercept, 截距
% }; @; w; N$ M- m( `1 nInterpolation, 内插法
3 N% l+ n/ p. V; A7 W/ q0 ZInterquartile range, 四分位距
& g: @/ A) e0 M0 D1 vInterval estimation, 区间估计
: M' u' u* E: K) x4 C$ FIntervals of equal probability, 等概率区间6 u( c" O p+ W& ?
Intrinsic curvature, 固有曲率! L: @9 f3 W: f ^
Invariance, 不变性
0 h+ ?; @" Z( LInverse matrix, 逆矩阵
4 `* N. y8 O5 R9 X0 I. qInverse probability, 逆概率
8 O9 M/ I: ?$ }. C% {* V, ]Inverse sine transformation, 反正弦变换) C6 W' A2 B) ^ D8 v* T. v
Iteration, 迭代
' }) U6 C$ P% D( L0 UJacobian determinant, 雅可比行列式! I' J2 l* t) {1 k
Joint distribution function, 分布函数
/ t# d: F; m) |# g* NJoint probability, 联合概率
1 V) Q* D+ I( ]+ A; S! d3 @; tJoint probability distribution, 联合概率分布" C) q2 v( I% ]( G9 w" s+ R
K means method, 逐步聚类法1 H% a% Y5 y# O' a
Kaplan-Meier, 评估事件的时间长度 5 j3 w0 s4 B. V) U1 G
Kaplan-Merier chart, Kaplan-Merier图5 [5 J, l2 C8 ?: L( k; {
Kendall's rank correlation, Kendall等级相关
, a8 H8 g7 R- f$ xKinetic, 动力学
% r/ \+ k" X7 R3 z. o, J, l0 UKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验" [, E8 o5 i+ @0 o( {
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
- y+ R9 G' p; U* G4 WKurtosis, 峰度
0 A4 `7 H$ F1 qLack of fit, 失拟& F+ _+ b# D% \" k9 N1 r
Ladder of powers, 幂阶梯
) i6 L5 ]+ ]0 n: q) KLag, 滞后
# R) j# W/ i* d @Large sample, 大样本
" k: e X! q |' u. wLarge sample test, 大样本检验* `; K6 p+ q7 b1 u
Latin square, 拉丁方+ R" R/ {% ]! l" c! G
Latin square design, 拉丁方设计
. `0 m8 P" _1 d. Y: s% eLeakage, 泄漏! R4 R; P& a1 R3 R. Z j; O x
Least favorable configuration, 最不利构形
2 a& A# u& ]' J G0 s8 wLeast favorable distribution, 最不利分布
$ r, z" I' b2 Z7 PLeast significant difference, 最小显著差法
, R7 v1 p+ K. H. S% L, vLeast square method, 最小二乘法6 `: b4 |% w$ `1 \0 ^
Least-absolute-residuals estimates, 最小绝对残差估计
, m" `" K9 a2 _Least-absolute-residuals fit, 最小绝对残差拟合
6 H6 W k8 Z5 q6 E3 fLeast-absolute-residuals line, 最小绝对残差线
! ~5 g, G( z1 e' |' k0 ]Legend, 图例+ Z! @9 v0 W' c- h" o6 w4 N% k) G
L-estimator, L估计量
, R$ q' U1 ?! x& ^8 l6 BL-estimator of location, 位置L估计量
+ u" o- P0 B v: e" t* oL-estimator of scale, 尺度L估计量
4 X U6 |5 u& q( r/ C' bLevel, 水平
7 v! A- N- q# }9 A- f' TLife expectance, 预期期望寿命
& I. _, Q8 [" m% {2 PLife table, 寿命表
6 K- E5 X6 B4 ^ cLife table method, 生命表法
8 V* Z) ?3 C" \& V& NLight-tailed distribution, 轻尾分布
& t9 }0 x) |! T; F; wLikelihood function, 似然函数
! S) `0 C, h0 p7 uLikelihood ratio, 似然比) z' X. A) n2 m) m5 a. |
line graph, 线图' \5 u i2 k! y; L
Linear correlation, 直线相关
8 X3 c6 m, ]7 V# a) `: \+ s/ J qLinear equation, 线性方程8 w e! I# }! Z: S% A; D( @
Linear programming, 线性规划
( v4 f: H8 _5 c) \3 B8 X7 ALinear regression, 直线回归
; D$ y: o @2 Z0 G2 ZLinear Regression, 线性回归
. P9 B* a' Z/ k) X; R& d4 lLinear trend, 线性趋势; `6 l4 d, v; e4 W7 z
Loading, 载荷
F W! d7 ^5 m) x0 r. kLocation and scale equivariance, 位置尺度同变性/ ?6 J6 x8 u) H0 g4 P) ]2 D
Location equivariance, 位置同变性' T) V: w h9 `+ v. }/ L4 _; ~( t" ?2 j
Location invariance, 位置不变性
% }' g; e, f4 ]! O- p! ~% DLocation scale family, 位置尺度族
9 ~5 C; R3 v* P/ `3 @Log rank test, 时序检验 ( B# ^2 h0 `9 A/ }
Logarithmic curve, 对数曲线: [% H) V: |4 b) P* ^
Logarithmic normal distribution, 对数正态分布& c3 N4 Q' n8 u8 @ `6 x6 Y
Logarithmic scale, 对数尺度
j: }$ v& ?) S- iLogarithmic transformation, 对数变换
- r0 C+ I8 @# f! {Logic check, 逻辑检查
( v9 Z V$ b1 l6 z4 Y8 O8 nLogistic distribution, 逻辑斯特分布
' r0 ]% T6 ~: n: gLogit transformation, Logit转换
$ X) \0 Y" ]1 s- r1 p# s, B, |LOGLINEAR, 多维列联表通用模型
3 E0 o( }8 |* E. WLognormal distribution, 对数正态分布+ ^& c4 C5 s; \" Z, P
Lost function, 损失函数
/ x) d% ?8 ?7 @$ |/ M7 ^& t/ |1 cLow correlation, 低度相关
; A( \0 q; o6 y0 h3 N: o' \Lower limit, 下限
# x3 E& V$ [ }, a/ \9 KLowest-attained variance, 最小可达方差# \9 e" B7 Q& F1 s7 d+ w0 R, y
LSD, 最小显著差法的简称" b* `" Y8 R: t
Lurking variable, 潜在变量
! v- r# M( A9 O( b& @) A0 K$ @Main effect, 主效应1 A A* k% g2 o6 z u
Major heading, 主辞标目3 o( ^+ U0 _0 x4 K
Marginal density function, 边缘密度函数6 O2 I) @& Z" c
Marginal probability, 边缘概率. d) k4 u' Y1 A
Marginal probability distribution, 边缘概率分布6 @+ J+ F* t5 \8 b- c6 D/ S6 l6 s' W
Matched data, 配对资料
1 q6 ^0 S7 k3 J8 ^* eMatched distribution, 匹配过分布5 Q' m" X M% W" E
Matching of distribution, 分布的匹配& P' y) Z1 b. K/ F* g( }! n9 v
Matching of transformation, 变换的匹配
) }- y6 x* l+ f5 R; rMathematical expectation, 数学期望+ O3 w$ U8 ~2 c+ R$ G% q( t
Mathematical model, 数学模型$ M3 l: `" s9 v
Maximum L-estimator, 极大极小L 估计量
' \4 b [# a, k, p. m; i$ F D% qMaximum likelihood method, 最大似然法
9 G6 S' ]& _" Q0 b" dMean, 均数
2 M# n& I$ t4 y! E- M: MMean squares between groups, 组间均方 D9 `- O7 `, E/ b- L9 t
Mean squares within group, 组内均方
9 Q4 d% W+ i/ ^# H' EMeans (Compare means), 均值-均值比较
4 J2 R% r/ ^' k* m4 M# G9 UMedian, 中位数' D) Y0 k) n5 J2 \" j
Median effective dose, 半数效量& t- ^/ ?0 Y1 b( F( j2 m1 j9 v
Median lethal dose, 半数致死量0 [5 z8 R2 {2 I5 C
Median polish, 中位数平滑
1 F+ y+ g* u( N4 l b1 w* XMedian test, 中位数检验! f$ A1 |$ B. B* r) \3 R
Minimal sufficient statistic, 最小充分统计量
9 c0 |" X& k y& ^* d6 FMinimum distance estimation, 最小距离估计* U( j# E/ K- t# a+ ? D( r4 ^
Minimum effective dose, 最小有效量8 z6 j" j7 E# Z
Minimum lethal dose, 最小致死量5 A: n* C. W9 ^3 ], z. ^
Minimum variance estimator, 最小方差估计量: Q6 I, r& u' p" y: c% G, |
MINITAB, 统计软件包/ `; J0 i! U# `0 F9 |
Minor heading, 宾词标目: A6 ^/ F y/ P; w
Missing data, 缺失值5 g# l' m* x% m4 O3 \6 `
Model specification, 模型的确定
* ?8 E- t. z1 H. y ^: v3 b( `Modeling Statistics , 模型统计
4 C) t; g) M; y6 @$ }7 I4 BModels for outliers, 离群值模型
7 i4 D" e, | G' c2 aModifying the model, 模型的修正 Q4 j. s$ h% j; v, Q8 C3 A
Modulus of continuity, 连续性模" @" ~3 y5 B5 k$ u8 V# O$ z
Morbidity, 发病率 " ]8 Q5 i/ p1 I5 a& x* z2 i% F4 U
Most favorable configuration, 最有利构形: k8 n1 r7 D5 I/ ~
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
) M0 K Z0 w% p! E# RMultinomial Logistic Regression , 多项逻辑斯蒂回归
6 j6 X* r* R& k% k; r5 L$ @2 W9 {3 aMultiple comparison, 多重比较( t0 a" f7 w3 h1 N* N
Multiple correlation , 复相关+ f$ ~6 F+ v1 r" p
Multiple covariance, 多元协方差& v( k4 w W$ ?# i T: n& o
Multiple linear regression, 多元线性回归
+ J4 ]2 j7 Y& O% ?4 A$ K2 k/ xMultiple response , 多重选项
$ X; @' `. F2 R9 X+ G/ f- J' }Multiple solutions, 多解
5 |& |% D) V+ b8 Q9 KMultiplication theorem, 乘法定理
. A+ E# z- P3 MMultiresponse, 多元响应
+ m, ]- Z) o' H% bMulti-stage sampling, 多阶段抽样
; A8 h/ Y4 `8 d0 t& n: v4 s5 ~Multivariate T distribution, 多元T分布: P6 A* C& s( m3 M7 Q. f) ^
Mutual exclusive, 互不相容
; l! j# i/ Q6 r. m* rMutual independence, 互相独立! J5 o# q/ T0 A+ l1 c; x6 [
Natural boundary, 自然边界0 T/ R: q' z8 }) L: ~
Natural dead, 自然死亡1 H* s) |$ k0 |: I; J& a7 C6 S7 \: f ]
Natural zero, 自然零7 H. |2 \' P, v
Negative correlation, 负相关5 e/ }5 Y1 l, |* w$ e# ^0 w
Negative linear correlation, 负线性相关
+ `% t8 B, E& lNegatively skewed, 负偏
Y( z( x* K5 l- Q, eNewman-Keuls method, q检验
% ~3 g5 m% X0 s0 wNK method, q检验0 Q( A. m. l* F' }, B. j! s( J+ x
No statistical significance, 无统计意义
- O, E5 Y3 a# F: w( V3 jNominal variable, 名义变量' ]: t4 k" M: C+ h1 |. O3 L7 v
Nonconstancy of variability, 变异的非定常性" @6 ]& }2 K6 I/ i# K: k6 S7 {0 z1 w S
Nonlinear regression, 非线性相关
8 ^+ K2 {% u, i" t4 J$ J W+ |Nonparametric statistics, 非参数统计4 I3 A/ k4 i0 Q6 Y* M% y7 s5 D
Nonparametric test, 非参数检验4 B( _- R. o0 Q) C4 {: x( w5 {* n
Nonparametric tests, 非参数检验* D2 E, d) m; s0 v- Q
Normal deviate, 正态离差
; w7 w; A x0 }6 j+ x$ M- B' i, PNormal distribution, 正态分布" G; r0 F: ~. b! K
Normal equation, 正规方程组0 c* q8 A, I. E/ g
Normal ranges, 正常范围$ b0 r s: G4 R p5 L, F8 G+ x
Normal value, 正常值( e5 b+ i. U( j: X+ k3 M! H3 y
Nuisance parameter, 多余参数/讨厌参数
5 ~ Q2 L' P- e% JNull hypothesis, 无效假设 6 ~ C! E1 R0 T) Q$ w5 _3 s
Numerical variable, 数值变量3 p, M+ K1 K* e( e6 D/ g
Objective function, 目标函数
# C7 B# q. D* Y$ s( I# r" F0 u$ a; F2 SObservation unit, 观察单位9 ^3 Z2 N- v. ~( e) {- D- R3 w
Observed value, 观察值
q$ Z) ^7 }* ]( w1 J0 BOne sided test, 单侧检验
/ F3 {+ b, I) e: T6 z. G" i: D% fOne-way analysis of variance, 单因素方差分析
& I5 [7 d: U( @" }Oneway ANOVA , 单因素方差分析( O& O0 z; K7 H: E/ q
Open sequential trial, 开放型序贯设计& }/ \4 W y/ `; r
Optrim, 优切尾* M: \8 B9 ~1 b ~; m
Optrim efficiency, 优切尾效率
8 y5 l5 @. C; \/ u6 EOrder statistics, 顺序统计量) ^0 m4 F1 ^# @
Ordered categories, 有序分类8 t& Y3 P! s i1 P
Ordinal logistic regression , 序数逻辑斯蒂回归
/ C0 O! }, ^- mOrdinal variable, 有序变量" ]5 f* j/ }. m) L% Q
Orthogonal basis, 正交基
2 u& j6 }; s2 {4 O% qOrthogonal design, 正交试验设计9 S" [- p7 e& q& {' V0 H
Orthogonality conditions, 正交条件: }/ X$ V6 Q4 E9 g/ \4 @
ORTHOPLAN, 正交设计 9 b! E- v" W7 n5 n
Outlier cutoffs, 离群值截断点
3 i& N9 n% \4 xOutliers, 极端值# q4 r: m& J9 H% Q4 O4 R
OVERALS , 多组变量的非线性正规相关
- ^1 j: P# ]4 Z( L0 G" HOvershoot, 迭代过度, b( ?4 r" t4 W$ U% _7 |- |4 Y
Paired design, 配对设计
0 _6 T9 W( E4 Q4 \( cPaired sample, 配对样本
7 P; l: J$ B$ z. B6 l7 hPairwise slopes, 成对斜率
6 j; `# \0 K9 L. V; S' k8 DParabola, 抛物线( d% y* J8 X: R& E! Y/ k! `- O
Parallel tests, 平行试验 J& x. B' j1 f- m
Parameter, 参数
+ u" M; `$ _( @0 _% GParametric statistics, 参数统计/ e3 W' A7 q& k. z! V. R
Parametric test, 参数检验
( G( B K" ~* P z2 v& c3 Q% OPartial correlation, 偏相关6 E3 E, v0 i+ n* [0 T% G6 b
Partial regression, 偏回归% M% c" I9 O4 s# N! F
Partial sorting, 偏排序# q* d" Y! K$ d2 H! ]: ~
Partials residuals, 偏残差
. {7 Y5 Z9 n; CPattern, 模式
: J* M4 R& Q; B& C) I/ FPearson curves, 皮尔逊曲线; C: q2 o. w, {4 `7 F
Peeling, 退层 ^' D5 h. \1 H: i% P; c! ?
Percent bar graph, 百分条形图) T5 a2 X" ]# t; X# M" r
Percentage, 百分比
4 M! D: m% c# WPercentile, 百分位数/ O) S: p; ~4 \3 t6 q4 t" Q- M
Percentile curves, 百分位曲线/ {/ Q0 k# \! P
Periodicity, 周期性/ Z4 G0 W5 `1 y! n
Permutation, 排列
: s, a$ M5 J9 ^* h! A) ^P-estimator, P估计量0 g* w4 D* Z" F: f2 N+ E
Pie graph, 饼图
. n/ c$ _, K+ C' |: kPitman estimator, 皮特曼估计量3 S& v* N2 v8 W' n2 ^4 J. ?# f
Pivot, 枢轴量
0 O" K8 F2 N% x. W5 O6 E3 z3 Y+ }& pPlanar, 平坦
' ^. b. }2 E4 E. oPlanar assumption, 平面的假设. p8 |8 z9 V" Z' M' {, i0 X
PLANCARDS, 生成试验的计划卡4 a+ x9 H o$ a, f
Point estimation, 点估计
2 k) k- V0 J0 BPoisson distribution, 泊松分布
) ]: J& j% \2 m8 r, D6 o5 f; s- N( _; YPolishing, 平滑
" w$ F7 `7 i" \- G1 V8 _Polled standard deviation, 合并标准差
; W- t8 C5 ~! M$ v# B+ O7 APolled variance, 合并方差
5 A2 V& z! A& JPolygon, 多边图% N$ U! D: `% _' y9 S
Polynomial, 多项式
' u4 H2 Z: |7 Y; i C* `' K: T9 hPolynomial curve, 多项式曲线
; n! E/ z; Q2 }& wPopulation, 总体7 s# P. t1 y7 I6 a1 o# {5 W
Population attributable risk, 人群归因危险度( ]# ~% o1 m" P* ]
Positive correlation, 正相关
3 u1 }9 s, r* O6 i# I/ ]8 I7 MPositively skewed, 正偏
, h6 ~7 d) [4 P1 GPosterior distribution, 后验分布
, S4 N4 t( s: U( g3 iPower of a test, 检验效能
* K8 S% Y9 W; ^) C9 V) i! YPrecision, 精密度
9 y2 h: |3 s1 Z- Q3 L2 g' y6 n5 KPredicted value, 预测值
& F/ V! T, l4 a/ s# HPreliminary analysis, 预备性分析
[0 l( L$ {7 Z2 d" BPrincipal component analysis, 主成分分析
! s& g3 d9 ? x' l: Y L1 U1 BPrior distribution, 先验分布. g/ S4 J, A5 [4 w& |/ g! N: q
Prior probability, 先验概率& t! ?; g5 G9 T9 b& ~
Probabilistic model, 概率模型0 T) V Q3 C% o1 X
probability, 概率2 E: k6 d% R# K0 e0 T0 z$ D* M
Probability density, 概率密度
/ y' n9 m6 R! v/ B! |% q: m( \Product moment, 乘积矩/协方差. K0 X* N$ E) B# V
Profile trace, 截面迹图
+ g3 z; A) M; }& z5 p. HProportion, 比/构成比 c/ s3 U1 s( F/ L" }4 a4 s
Proportion allocation in stratified random sampling, 按比例分层随机抽样
8 c' w. ?$ M m; v0 n& rProportionate, 成比例- q' }) n$ ]( L* q+ @
Proportionate sub-class numbers, 成比例次级组含量2 X6 j5 {, K/ u
Prospective study, 前瞻性调查
1 V- p3 V( w" w& u0 J$ uProximities, 亲近性
9 i$ ]- U( d U+ W1 M# o3 O- kPseudo F test, 近似F检验
! E1 \* d+ [: m0 }& _Pseudo model, 近似模型# R' Q7 {2 \* p# p
Pseudosigma, 伪标准差
1 T: c5 x2 c6 j. ]( N6 x' y1 Q/ DPurposive sampling, 有目的抽样& `7 E/ a" L% K$ ~" g
QR decomposition, QR分解
% H7 k6 c, B, k; T- _5 dQuadratic approximation, 二次近似: ^* m$ Y( a& H2 L3 q+ T8 Y
Qualitative classification, 属性分类
, n% W. o( k, E" a9 z8 f8 VQualitative method, 定性方法, k) ~5 W; z' x/ u" j
Quantile-quantile plot, 分位数-分位数图/Q-Q图% v2 D& A U4 q# x. w- U
Quantitative analysis, 定量分析
9 {9 T9 b7 l) r3 z2 D% TQuartile, 四分位数* G1 z c/ v/ `# y
Quick Cluster, 快速聚类8 {+ ~0 w6 @. n7 K7 x; a$ A
Radix sort, 基数排序" ?0 J8 _1 d' Z! r7 k7 E0 d2 g! b
Random allocation, 随机化分组
: `) D0 a9 E0 _# }2 n* xRandom blocks design, 随机区组设计
& Z5 s" z. h! ~& l: P; a7 f+ QRandom event, 随机事件( |! L1 j$ O0 E
Randomization, 随机化
- q0 [) j# m0 P" p! _# U4 MRange, 极差/全距
# k4 g: P# e! \" A2 Q7 N( LRank correlation, 等级相关
$ a$ E: s) u3 v$ N WRank sum test, 秩和检验
: _+ G# s, {1 O& I! z1 S2 I6 ?Rank test, 秩检验
8 z2 [9 H* I* @6 VRanked data, 等级资料. j1 v g0 u1 {* v1 g' a
Rate, 比率
. R; M/ m7 G4 N7 p& ?3 f) `% ZRatio, 比例- r$ T6 k; T( g# }( a1 U
Raw data, 原始资料
) ^+ a2 }& h& j- w4 ^Raw residual, 原始残差" U, Q' P+ L* n5 U5 |
Rayleigh's test, 雷氏检验1 X; i6 ~/ v. j3 C
Rayleigh's Z, 雷氏Z值 3 o1 G# S+ b$ H6 @$ Q
Reciprocal, 倒数' c" m8 E J2 a* b1 z7 k
Reciprocal transformation, 倒数变换9 s! z4 _! A6 ~7 I
Recording, 记录, W( F3 Z1 p) Q- m# o
Redescending estimators, 回降估计量5 ^7 B5 _% G9 L- h6 ~2 Q9 G
Reducing dimensions, 降维
. [. e' p7 v9 P+ r$ t& m KRe-expression, 重新表达( D4 M- p; k5 z# E" O+ x0 ~
Reference set, 标准组# d! X: v: c. ?/ ]5 U
Region of acceptance, 接受域3 Y- c6 d0 R& K# U
Regression coefficient, 回归系数
6 B8 [2 H/ C: C2 X1 PRegression sum of square, 回归平方和+ a0 O3 m a8 g, c* A+ p& g; u f
Rejection point, 拒绝点) i. S/ ?; t- |9 p! ]5 t
Relative dispersion, 相对离散度
9 d& b4 X9 w. D: TRelative number, 相对数: y3 N! D+ Y5 o' i; @. G3 J
Reliability, 可靠性$ {2 K8 }4 R( i
Reparametrization, 重新设置参数( y8 I# R7 J( z3 J- E9 G# ?$ |5 J$ u. x
Replication, 重复
/ U* F6 d" t3 oReport Summaries, 报告摘要5 \7 l7 I9 I' B" I, V7 a: T
Residual sum of square, 剩余平方和
% q: E0 j1 D& [6 ~: a! \" KResistance, 耐抗性
4 z0 {5 i2 Z) z' K% T1 Q. CResistant line, 耐抗线) h% C, E9 Y& w! Q
Resistant technique, 耐抗技术
z H+ l5 P6 ~( Z. e' YR-estimator of location, 位置R估计量% [9 b# [, k9 y! e
R-estimator of scale, 尺度R估计量
- \2 w2 E6 j& d5 t* ^6 GRetrospective study, 回顾性调查
; i% R% o. X5 j1 z# s) k. PRidge trace, 岭迹. ~$ y/ T" [7 ~4 U
Ridit analysis, Ridit分析
0 }2 C, H5 P1 t; b) LRotation, 旋转
4 b0 V' s. V, a5 zRounding, 舍入/ a3 c: R9 `: K& I+ x/ W
Row, 行5 Q/ l* H$ B( d* i: G
Row effects, 行效应
) r% h9 X" ~ r" G# ?) jRow factor, 行因素
) i* z8 ?# u' e5 v8 ]6 ]RXC table, RXC表1 ^& m+ e& p/ @) J
Sample, 样本
4 b% [- J7 l, ?/ W. ~' pSample regression coefficient, 样本回归系数
9 Z- i$ s. n7 u& _Sample size, 样本量
( p* m6 n& ?1 v( @Sample standard deviation, 样本标准差5 N0 K6 M6 O& R1 P0 a
Sampling error, 抽样误差+ t: K0 C+ c. Q9 N" Q* C
SAS(Statistical analysis system ), SAS统计软件包
7 k# d3 U+ _* F7 O9 P0 ^, GScale, 尺度/量表
* Y b1 e% y9 F. bScatter diagram, 散点图
* X# \) Y! \8 X& dSchematic plot, 示意图/简图8 l! c. w+ Y& e7 X
Score test, 计分检验
R* w j; L! p; HScreening, 筛检. u+ d% g4 D' r( D/ z" B$ ]
SEASON, 季节分析
" P# ?! z- y& U: B* x0 ySecond derivative, 二阶导数! }& A. U, ]% O' n+ o2 T5 N
Second principal component, 第二主成分+ u1 A S; H' g, B$ D x( |, K
SEM (Structural equation modeling), 结构化方程模型 * r7 T# f5 G" {5 S' ?4 w9 \
Semi-logarithmic graph, 半对数图
( d: b* u7 F ~Semi-logarithmic paper, 半对数格纸" C8 o$ i& J4 E; V9 R& p+ V U1 y
Sensitivity curve, 敏感度曲线
9 Y) k$ h3 ?5 `) [* o' \% g6 aSequential analysis, 贯序分析
& @- H3 |2 p- ^ k2 RSequential data set, 顺序数据集
! ?* u7 j$ H3 w+ vSequential design, 贯序设计9 @) }! O7 u3 E4 I* F& k7 k$ Q6 ^
Sequential method, 贯序法
5 V o2 B) O# \1 fSequential test, 贯序检验法
; q/ I- a: y; `9 ^0 U. J* TSerial tests, 系列试验9 F/ y- a. q5 ^4 m9 @
Short-cut method, 简捷法
5 A0 T& F, M! F4 ?3 i+ Y$ {Sigmoid curve, S形曲线4 @& N+ Z+ e: q8 V+ N% k1 k
Sign function, 正负号函数6 m7 b" ^ n, j$ E, x
Sign test, 符号检验* T; G, b$ V4 {" d% Q7 D/ e
Signed rank, 符号秩$ t- r1 o$ B& X4 _; q1 e# N, d
Significance test, 显著性检验7 S2 J2 q% a/ r/ h7 Z/ U( ]1 M
Significant figure, 有效数字
. h8 M: Z C D) {Simple cluster sampling, 简单整群抽样; f& A3 F: V% M. |+ ?9 Z/ l
Simple correlation, 简单相关; m# e. _2 L1 O3 q- ~4 |% O
Simple random sampling, 简单随机抽样
9 A5 ~) g6 f: t H; WSimple regression, 简单回归5 \# `3 u* O& @; {% y0 l
simple table, 简单表
3 O. j- Q/ J0 i* r; x: {9 CSine estimator, 正弦估计量
) B" Q3 e6 X; ^2 y( ~, E2 M2 nSingle-valued estimate, 单值估计( Q- [8 E- E4 g U# f
Singular matrix, 奇异矩阵" @. R4 K4 G' e/ C8 x
Skewed distribution, 偏斜分布
6 E) W5 l& e% S; t9 @, g- `Skewness, 偏度% T/ O& r& U% U1 r$ L
Slash distribution, 斜线分布0 @ z3 j# O5 O/ B a0 P2 Y
Slope, 斜率
Y; w# |' ~/ l6 _9 f/ d% RSmirnov test, 斯米尔诺夫检验3 D5 C( j5 _. o: p; A: v) L
Source of variation, 变异来源
" t6 t$ n3 p. i2 {9 D5 T8 nSpearman rank correlation, 斯皮尔曼等级相关' Y1 D# C; i9 m% g- B* h3 F+ {
Specific factor, 特殊因子
- a9 z3 d% |$ M5 iSpecific factor variance, 特殊因子方差" C5 y. G$ W8 \( T! g' q7 E
Spectra , 频谱5 K2 T. E# w! u P) k1 @' W! W
Spherical distribution, 球型正态分布) n1 J# p y9 L1 ^
Spread, 展布0 B% Q- V" n e6 z3 h
SPSS(Statistical package for the social science), SPSS统计软件包8 | Q, U! e8 N! D7 @) o& O
Spurious correlation, 假性相关
$ x$ `% c4 a& O9 {8 F, V% USquare root transformation, 平方根变换; s( J2 t) M2 Y0 Q. ]3 [$ z) p
Stabilizing variance, 稳定方差
: h' I# n- |- L6 r/ JStandard deviation, 标准差
# R0 Q) P+ b' m2 s5 xStandard error, 标准误
; [3 t& P: B7 T, s) S: j rStandard error of difference, 差别的标准误: t5 b0 ?" n/ D6 U5 C
Standard error of estimate, 标准估计误差8 l9 i6 s3 {2 ?% M: [$ R
Standard error of rate, 率的标准误3 _: v% }0 O2 J! p
Standard normal distribution, 标准正态分布: F& s* `& y% u& n9 c5 ~
Standardization, 标准化
1 C9 W- {/ c0 oStarting value, 起始值8 p2 I) ?3 n0 S5 P! R' G
Statistic, 统计量; k: ?/ ^# O; n/ d7 g
Statistical control, 统计控制- L s+ P. _8 R/ R0 J' ^/ U4 {/ ?
Statistical graph, 统计图; \' _: I7 H4 X6 A( h. u1 E
Statistical inference, 统计推断( w' T7 }: L1 p: x# E- P
Statistical table, 统计表
s S9 k' Z& k- P- e& @! M* ~Steepest descent, 最速下降法) H" x7 U6 @6 D7 J1 V
Stem and leaf display, 茎叶图
7 T X9 l$ ^' }( }3 Q+ a$ R- Q; TStep factor, 步长因子/ n& F( w" D6 O! P/ Y* i4 j, y
Stepwise regression, 逐步回归1 j+ B( m* w( f. t1 ?
Storage, 存
, m& n( D- f/ p+ ~8 c" O7 yStrata, 层（复数）
# U( w6 ^$ x0 g' P' \+ kStratified sampling, 分层抽样
# l: j! l/ ]. M! cStratified sampling, 分层抽样
& ?* k7 A* D9 N* o7 PStrength, 强度3 r" R' L3 r6 h
Stringency, 严密性( v: D+ Z2 Y0 f6 }8 F) g/ T
Structural relationship, 结构关系$ D! R8 w+ y+ \, e2 L$ t) \5 e
Studentized residual, 学生化残差/t化残差& g% v$ q9 y! g9 }1 m: Z! E
Sub-class numbers, 次级组含量$ V1 n7 ^! R+ A6 t. _% U
Subdividing, 分割8 C5 T) |0 F( Z
Sufficient statistic, 充分统计量; A/ v1 y7 l' F
Sum of products, 积和
# G6 F/ x5 t# B) ?7 O3 ^2 U0 MSum of squares, 离差平方和
- ]- y( K! W$ q0 b6 T* r/ T. L# ISum of squares about regression, 回归平方和7 S, x; n0 B# a8 A n
Sum of squares between groups, 组间平方和: P: J w5 }2 {" w' H2 M
Sum of squares of partial regression, 偏回归平方和" ]4 v4 F, r+ l$ V5 x
Sure event, 必然事件
0 W# r, E5 w. YSurvey, 调查
3 i+ d! o) N& g6 tSurvival, 生存分析
% m2 l4 y! Y8 XSurvival rate, 生存率. |$ d v8 X* M! I+ ]) Q( w
Suspended root gram, 悬吊根图
& o- ~& p0 c. f. }Symmetry, 对称
& X$ p4 Z( y& D c1 A/ a1 }, n2 mSystematic error, 系统误差
0 a. |: |5 z; q: XSystematic sampling, 系统抽样& H; t- k& s) m" H- \$ T
Tags, 标签$ F# |) n3 s* I1 j( B' T
Tail area, 尾部面积/ i* n( t% w- q. _$ {
Tail length, 尾长
3 z" l% y1 v2 }: iTail weight, 尾重 a& h$ G/ |, B( O5 \
Tangent line, 切线; W- W' _+ w$ s
Target distribution, 目标分布* N3 _7 V; V- L w$ e
Taylor series, 泰勒级数, j2 T8 h P9 | o1 l. `4 ?
Tendency of dispersion, 离散趋势
s7 \% z% @% L- _Testing of hypotheses, 假设检验
! ]4 X: G. h: K8 r' mTheoretical frequency, 理论频数$ M5 ^6 Q, m. Z
Time series, 时间序列# N! Q/ B1 }& I i
Tolerance interval, 容忍区间
; G; f8 {/ S! S5 S" wTolerance lower limit, 容忍下限6 g" F5 l7 l& d
Tolerance upper limit, 容忍上限
, R2 I2 w( l* p- Z2 S( QTorsion, 扰率
9 P* x& [$ q* t. D$ xTotal sum of square, 总平方和/ \* k7 ]: x' F
Total variation, 总变异
' @1 h/ N& C: y9 P. G9 STransformation, 转换
1 h8 Z+ m0 w4 r! L! x5 ]5 F( iTreatment, 处理6 Y8 \$ p5 E+ I7 m2 ] W: R- E
Trend, 趋势/ Q" p. b) k) \4 J6 x. v
Trend of percentage, 百分比趋势! U B& C) ~2 O
Trial, 试验
% u, w0 F; _6 uTrial and error method, 试错法" w. ?; @6 L% ^) M, f. H0 R H( w
Tuning constant, 细调常数9 J- C% z1 o, m5 U0 }
Two sided test, 双向检验
7 D% x2 n& q* c I- t" A5 BTwo-stage least squares, 二阶最小平方$ d# g& l$ @; T# r
Two-stage sampling, 二阶段抽样 l; s4 x4 e9 J; j+ z2 ~4 L9 M. t
Two-tailed test, 双侧检验; K" G3 w/ O) F
Two-way analysis of variance, 双因素方差分析. Z9 Z; h7 l5 b) i1 a& u
Two-way table, 双向表
' n: E, O$ G) q8 o d7 GType I error, 一类错误/α错误, J `- i+ u9 o) ~7 T
Type II error, 二类错误/β错误
6 @1 Y+ W: p! Q1 iUMVU, 方差一致最小无偏估计简称/ m$ s, ?; {9 s6 A
Unbiased estimate, 无偏估计2 H$ |$ Z. u, p* P$ Y+ C
Unconstrained nonlinear regression , 无约束非线性回归" U0 g8 n9 C/ Y
Unequal subclass number, 不等次级组含量, A* t: ]3 ^4 \2 j
Ungrouped data, 不分组资料
% v2 t% G& x7 v/ TUniform coordinate, 均匀坐标
* @: D; `2 U, O4 U/ C4 [, KUniform distribution, 均匀分布
# @! _1 _# A1 O& S/ ~Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计# y2 a& x" X1 y, H
Unit, 单元
* l; ]; A+ G9 A' P* c( f5 iUnordered categories, 无序分类1 i! `/ b# H$ I7 m
Upper limit, 上限
b; y- n2 P9 _: N* G5 q# `Upward rank, 升秩
" a3 t d: t2 {5 i3 [Vague concept, 模糊概念
% Y- e- G4 f1 o0 WValidity, 有效性
3 `' ?2 ]& Y8 Z& ^: @) y) U7 HVARCOMP (Variance component estimation), 方差元素估计8 v* E( e' {, \7 D$ Y, {
Variability, 变异性
& _1 ]0 D0 S* i* gVariable, 变量
5 v1 q, B# ]/ P6 ^& d9 FVariance, 方差( w0 g0 _/ [4 b
Variation, 变异
) m4 Z Y- {$ x- LVarimax orthogonal rotation, 方差最大正交旋转% a7 Z. i5 q$ Z4 ]# }
Volume of distribution, 容积: e) i4 p) T# o) N; {6 P. }; f
W test, W检验; k8 U" y; p) L- A6 _8 C
Weibull distribution, 威布尔分布
1 E/ I& n# }% a1 W7 ]1 KWeight, 权数/ R7 X/ {. f9 K0 Z" b
Weighted Chi-square test, 加权卡方检验/Cochran检验& w& p+ l! W% K7 o' x
Weighted linear regression method, 加权直线回归
$ ]- w" q% W+ x/ U) H7 |' dWeighted mean, 加权平均数
/ T, F, r. @7 A% d/ g. nWeighted mean square, 加权平均方差
; _4 z0 `% p2 F/ `$ Y6 WWeighted sum of square, 加权平方和
# m2 W1 G9 }( |( l# l0 WWeighting coefficient, 权重系数, A8 Q8 F% d& e8 ?
Weighting method, 加权法 + }4 Q0 G, v3 g7 I) z; T
W-estimation, W估计量+ }5 E. G% i* j1 d
W-estimation of location, 位置W估计量) O+ S$ G' x8 d7 D; ?
Width, 宽度2 d1 m- q& J o1 v9 w
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
0 a$ r2 ?" ?% y% E' b; m) Z# ^Wild point, 野点/狂点
4 M# }) _# n9 U1 B( k( NWild value, 野值/狂值* u; x$ a1 U& G1 l* u
Winsorized mean, 缩尾均值2 |7 n+ N, }6 l% X: G& Q9 C
Withdraw, 失访
" F- `2 r, G. j* k6 oYouden's index, 尤登指数
S6 {# S& k [/ OZ test, Z检验
9 O/ ^. R! m) cZero correlation, 零相关9 ]8 @- M, B* U1 i# H
Z-transformation, Z变换 |
本帖子中包含更多资源
您需要 登录 才可以下载或查看，没有账号？注册会员
x
|
|李越老师直播间|清流社工网
( 苏ICP备19044186号-1 )
发表于 2009-1-6 22:05
