|
|
Absolute deviation, 绝对离差! |) C2 \, S% E2 b" Q
Absolute number, 绝对数
. T9 i+ z, G0 p) EAbsolute residuals, 绝对残差
0 W8 K) R3 T* ~1 ?) TAcceleration array, 加速度立体阵
/ m5 y/ n+ Y" J% d9 QAcceleration in an arbitrary direction, 任意方向上的加速度
9 [1 L' L& [, L5 w& fAcceleration normal, 法向加速度
! i5 p4 o3 B. R1 X7 \8 t( uAcceleration space dimension, 加速度空间的维数
' _. m& N7 u6 eAcceleration tangential, 切向加速度
# o$ c, p0 X4 q oAcceleration vector, 加速度向量
) I5 ]1 L8 T( J9 Z# K" EAcceptable hypothesis, 可接受假设
' P6 r( s! U4 M# tAccumulation, 累积
9 j3 [5 `) U1 e! g: `Accuracy, 准确度+ K9 L& h0 W$ u. e; }, A
Actual frequency, 实际频数* y- P* u2 i) k3 g: {! O" z! C) u
Adaptive estimator, 自适应估计量
* c" I' Y# O/ v G# m; S1 y6 h& ZAddition, 相加
$ _: M! c$ v7 Z# o! CAddition theorem, 加法定理; r$ I# X, {! e' w, h% F8 x
Additivity, 可加性
: ], G6 x- h2 kAdjusted rate, 调整率
+ y! [* W+ _& Q2 e- SAdjusted value, 校正值
g7 ^- J8 [9 I! IAdmissible error, 容许误差! U/ r# t" A1 L
Aggregation, 聚集性
) Q6 ~5 w( u; [; ]9 D+ m& `Alternative hypothesis, 备择假设0 E' W( k3 ]9 k9 n/ T
Among groups, 组间
" D9 \1 c# h: D0 m. y6 H6 cAmounts, 总量
8 w9 _8 b- S6 E! T, q7 }" ^) Y+ a" MAnalysis of correlation, 相关分析 u" D' l- z( g- W% ]
Analysis of covariance, 协方差分析
7 I; f0 A, K8 `/ [Analysis of regression, 回归分析
- m" @4 c; W: G9 }1 L0 ~8 [Analysis of time series, 时间序列分析- r- |; _& M& Y
Analysis of variance, 方差分析
( b- _) m E) N6 R s; J1 nAngular transformation, 角转换& s' J/ `1 ^, r! K6 ?8 g4 m
ANOVA （analysis of variance）, 方差分析
3 \. j0 V" }% C5 p7 F0 i& TANOVA Models, 方差分析模型$ y# M8 v: _- l; k6 G" W
Arcing, 弧/弧旋 I, d2 ]) J5 j3 L9 x
Arcsine transformation, 反正弦变换8 ]5 ?, [3 z# ~4 G
Area under the curve, 曲线面积2 M8 n ~2 B) C6 ^" n
AREG , 评估从一个时间点到下一个时间点回归相关时的误差
/ C, B+ m/ Y/ QARIMA, 季节和非季节性单变量模型的极大似然估计 $ W: S" h6 n, Y5 }
Arithmetic grid paper, 算术格纸$ h# z* s7 }) i7 d9 H8 z( T
Arithmetic mean, 算术平均数! O2 I- K; I" w, M+ H
Arrhenius relation, 艾恩尼斯关系
0 i5 m+ d- A" j+ {! |" pAssessing fit, 拟合的评估# M# {' D; ^* {0 {
Associative laws, 结合律) Q5 v) C! N, U1 h/ Y
Asymmetric distribution, 非对称分布
# H/ N; K, s/ iAsymptotic bias, 渐近偏倚$ v5 ^* ^3 A/ R: x8 ` _7 Y
Asymptotic efficiency, 渐近效率$ d% h A8 B2 K) C( b7 p; c, e7 N
Asymptotic variance, 渐近方差. y$ h2 M9 J" `$ u4 O4 m2 T9 u
Attributable risk, 归因危险度0 M, ]" {& D' B( m6 O# Q) e
Attribute data, 属性资料
; H/ S. P) r9 B2 vAttribution, 属性
: |4 @4 A- E0 S A) R0 o$ ~4 HAutocorrelation, 自相关3 s+ o9 e. Z1 Y4 r% ?" X
Autocorrelation of residuals, 残差的自相关
0 \1 V1 t3 B" m& u5 r3 GAverage, 平均数1 }6 F# ^3 H7 `4 M B4 o
Average confidence interval length, 平均置信区间长度
8 U4 b" y4 s8 ~# A- UAverage growth rate, 平均增长率1 p( n4 ?! c- P! A+ |) @$ `( Z
Bar chart, 条形图* C; T( i/ f- n: v# K
Bar graph, 条形图5 C$ f% u" x" B4 x2 D
Base period, 基期: I# s8 y) _& [: J4 X3 U
Bayes' theorem , Bayes定理0 W& q8 l' Y! y6 Z a4 R. ~
Bell-shaped curve, 钟形曲线# T& U3 a3 I' i8 m6 p; z% z0 j
Bernoulli distribution, 伯努力分布) H- m5 _3 _: S
Best-trim estimator, 最好切尾估计量
- J5 @7 _, o( W. ^/ U. kBias, 偏性
6 X3 V4 _ d- P/ LBinary logistic regression, 二元逻辑斯蒂回归2 p& x( e/ S, f V8 [2 K! H
Binomial distribution, 二项分布) G$ c ?, D& T2 L/ ^6 {
Bisquare, 双平方
5 h3 b, q# ^3 w- e" W! \; eBivariate Correlate, 二变量相关
; J& b% h" c% J5 V/ h# A0 b! F, oBivariate normal distribution, 双变量正态分布- T* a; W( K; }5 v0 P! c9 c$ t
Bivariate normal population, 双变量正态总体9 w$ ?% G9 B+ x: a
Biweight interval, 双权区间: y$ q# ?) Y, G2 [+ g
Biweight M-estimator, 双权M估计量4 Y! I* o1 ?0 _" y. H* A
Block, 区组/配伍组# _, z8 D2 k" `2 L
BMDP(Biomedical computer programs), BMDP统计软件包2 ~: z( j8 J' Q4 b; J5 V! N
Boxplots, 箱线图/箱尾图
( f7 Q, ?; ?: L# ^ C7 HBreakdown bound, 崩溃界/崩溃点
) e" @0 v6 w( A" l" I/ BCanonical correlation, 典型相关" r) F, P% L7 q3 h! h
Caption, 纵标目
6 h, Q4 M- {3 E5 {( y; ?& QCase-control study, 病例对照研究' ]' V$ v% ^6 F* I/ S( H
Categorical variable, 分类变量) F/ E- R9 X; E) |
Catenary, 悬链线 j, R+ l1 P9 X! A
Cauchy distribution, 柯西分布
. V" x& K: _0 k5 H$ l+ i1 c' HCause-and-effect relationship, 因果关系
6 d6 I" J; j+ f6 z' p% @Cell, 单元
" `2 G I! l* `: DCensoring, 终检
, F+ J- u# h6 K/ ^Center of symmetry, 对称中心
% x4 e; Q/ ^! h8 r$ `, jCentering and scaling, 中心化和定标
# M, c g9 M4 T# `Central tendency, 集中趋势% t2 n4 l8 t- _9 S9 n
Central value, 中心值: r/ A2 n2 d/ s; H/ Z) F
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测
+ x9 n7 d" l. a. S7 SChance, 机遇1 [7 R6 b: o5 o2 R
Chance error, 随机误差
3 d& ]$ l& Y9 Y$ ]8 \Chance variable, 随机变量
" ^2 n& n4 L3 O" ?% hCharacteristic equation, 特征方程' u' g: y! G5 {4 L c5 w
Characteristic root, 特征根' {# r! r. e2 M
Characteristic vector, 特征向量
3 \" T @( N* t6 IChebshev criterion of fit, 拟合的切比雪夫准则9 q4 i1 Y j4 D1 r
Chernoff faces, 切尔诺夫脸谱图
: u7 k/ R: e1 [% z$ jChi-square test, 卡方检验/χ2检验
1 I" u4 _7 G& g$ k d0 X, DCholeskey decomposition, 乔洛斯基分解8 L& ?# e d, i9 r: j: j, W
Circle chart, 圆图
" m1 D* c+ O% Q/ ^$ \Class interval, 组距, I, ~$ B. c* W' F: e/ S+ a9 F& M
Class mid-value, 组中值
5 x; C0 p" i/ n4 g) DClass upper limit, 组上限# B3 S% W* w4 B- ?" ]3 e% {1 \$ l
Classified variable, 分类变量
( c) B0 A4 \/ W# c4 OCluster analysis, 聚类分析
- Z, }9 p& @& v! b3 HCluster sampling, 整群抽样
5 k! Z: b+ w$ t! j+ ?Code, 代码6 q+ M/ \4 K9 r
Coded data, 编码数据* r" K' E: K4 _1 B* ], V
Coding, 编码
. I+ l, ~1 ~, S- E# l2 A% \% lCoefficient of contingency, 列联系数- n0 b$ }7 ]4 ]: L j/ B
Coefficient of determination, 决定系数/ _1 Z5 l0 I9 w# Y& Y4 r/ u3 V
Coefficient of multiple correlation, 多重相关系数2 L: O' q* }! d
Coefficient of partial correlation, 偏相关系数# v1 Y: \* j+ x, h, c9 z
Coefficient of production-moment correlation, 积差相关系数
+ L& I/ R5 }9 x* b& {; x V' }Coefficient of rank correlation, 等级相关系数: v. S! z4 M4 D# s: _- w
Coefficient of regression, 回归系数: `- b/ s% w1 ^9 O$ o" O, |
Coefficient of skewness, 偏度系数- j+ C l. s" C; B& s
Coefficient of variation, 变异系数( c; W6 p8 T8 _0 b
Cohort study, 队列研究3 p D6 B6 s' b. x" X2 F
Column, 列$ W R8 p5 [+ k! g, S1 f
Column effect, 列效应
; H* b# T- H {+ l8 `( `Column factor, 列因素8 I' B- H u/ T- K V- |
Combination pool, 合并
, d/ }* i; L+ B8 nCombinative table, 组合表1 @% Q0 B. z5 r, }
Common factor, 共性因子) V( z0 U5 }+ ]& ?. T( V( ]
Common regression coefficient, 公共回归系数
4 |$ z8 F; I c) H" pCommon value, 共同值
& N6 K6 A+ F( f+ S1 }0 RCommon variance, 公共方差
4 v" j/ L: m, C/ wCommon variation, 公共变异
0 K6 G, q0 E/ A) M' n6 ]Communality variance, 共性方差* N( t: k! [3 X2 C d: R9 d* s
Comparability, 可比性0 C. G+ k, O6 T' b& }& h
Comparison of bathes, 批比较" L+ F$ q+ f# S8 h
Comparison value, 比较值
" a2 |- I/ |( S1 e6 q: KCompartment model, 分部模型7 h/ }4 f8 e8 i' c
Compassion, 伸缩3 c# f% p0 K, X% G
Complement of an event, 补事件
( ~) ?6 @- F6 C% U4 Y7 SComplete association, 完全正相关
8 k9 R6 W/ n) M) O6 S% |3 E gComplete dissociation, 完全不相关2 [4 h# O% K% G; ]7 a
Complete statistics, 完备统计量
5 b5 A4 M! c; ZCompletely randomized design, 完全随机化设计
7 v/ H T. K7 ?; sComposite event, 联合事件
9 C# `* W5 P8 `2 i( U0 J% xComposite events, 复合事件' V' Y2 N1 M# C3 r5 j4 M
Concavity, 凹性- m) f" v- ], I4 o. M& Y! c
Conditional expectation, 条件期望% h0 @* k0 ~% z) [
Conditional likelihood, 条件似然
6 T6 W9 P; k$ Q- N: K4 J; W, m6 WConditional probability, 条件概率* |' j( {3 w* m, F8 E: Y/ R# O
Conditionally linear, 依条件线性5 e4 b6 A2 i0 T) [+ q
Confidence interval, 置信区间% ?3 L& H( Q) [
Confidence limit, 置信限/ g: S- ?2 t0 I- f V( w2 Q
Confidence lower limit, 置信下限
6 _* z" w: |6 Q3 Y& GConfidence upper limit, 置信上限
`- ]+ J6 w5 C1 I$ ZConfirmatory Factor Analysis , 验证性因子分析) T5 {3 u p0 x- P1 U9 U
Confirmatory research, 证实性实验研究
6 w. n0 X5 X* `+ a0 e- M, AConfounding factor, 混杂因素1 E/ R. c' f) [& n
Conjoint, 联合分析1 f" Y% a2 U" p U, ~2 q
Consistency, 相合性/ w2 T, y9 Y+ Z9 ?
Consistency check, 一致性检验4 o' \, K5 C2 Z) W9 L7 W
Consistent asymptotically normal estimate, 相合渐近正态估计% D1 l( ~5 Z: {
Consistent estimate, 相合估计1 i+ g0 a# z$ x+ }* q
Constrained nonlinear regression, 受约束非线性回归
1 O& K( y- z) `0 d0 j2 w) a- o+ CConstraint, 约束$ U$ e8 U& [+ P! G: p# h: m
Contaminated distribution, 污染分布" A7 B' x& W. n# U/ Q
Contaminated Gausssian, 污染高斯分布5 E- K* R, W# v6 w2 V5 _" L$ M1 v
Contaminated normal distribution, 污染正态分布. E7 n! I" a+ e+ E5 ]/ b2 S# j3 [5 a
Contamination, 污染* Y' L3 ^* F. d$ M1 ]! d
Contamination model, 污染模型% G0 L: w) u/ ]8 H; V# b
Contingency table, 列联表5 W* _3 T+ M* s+ M, |9 n1 a
Contour, 边界线
1 L& p- ?$ p) W m8 X% FContribution rate, 贡献率! X' j* m4 B& M! \
Control, 对照
* P$ p6 }: D) w* S* X+ f: Z* Q6 SControlled experiments, 对照实验
, S3 z8 u1 T" h6 n& s) @( ?Conventional depth, 常规深度# T: x: \( J( Z4 I3 {
Convolution, 卷积
' m7 Q) a/ z, H6 }7 n$ CCorrected factor, 校正因子
8 y, X ?. |8 @+ {Corrected mean, 校正均值
# m+ k8 s' _' rCorrection coefficient, 校正系数6 V v" z; J3 E2 a
Correctness, 正确性
4 _; m* }3 v4 B- xCorrelation coefficient, 相关系数/ g3 B; F& j2 g- ?) _( B5 y( g9 j
Correlation index, 相关指数# M6 B1 |/ y7 h/ J2 o2 {' v
Correspondence, 对应
0 W' k' f$ \ s MCounting, 计数
! l$ u$ I6 q, k0 l$ \2 V- pCounts, 计数/频数
+ L# h$ s# N! p/ R( ]Covariance, 协方差3 [6 {4 O# Z) c
Covariant, 共变
% [ U' i R9 a# x8 r1 |& _Cox Regression, Cox回归$ k: N8 \) ~2 r2 @2 s f
Criteria for fitting, 拟合准则 \0 ]2 }5 J7 J( \
Criteria of least squares, 最小二乘准则" M! r* _& a' L2 r( }
Critical ratio, 临界比+ m" w1 w3 e7 p, p$ y- ^' H3 ^
Critical region, 拒绝域8 x( |( o; v8 D0 i' Q
Critical value, 临界值
( K2 W6 N4 ^8 ]: t/ r& VCross-over design, 交叉设计
+ x1 m& T' S% m; RCross-section analysis, 横断面分析
: @/ H$ D. ~; l/ L- d9 TCross-section survey, 横断面调查
, C4 {9 @1 x1 G3 rCrosstabs , 交叉表
, U( D1 j+ }0 ]! GCross-tabulation table, 复合表
: |# x5 c b9 y# O* VCube root, 立方根; L: e- ]& E6 r- N% J- R* `
Cumulative distribution function, 分布函数6 }! _# R' h3 F7 J+ T7 ^6 i
Cumulative probability, 累计概率- z# S0 _( g1 r9 j
Curvature, 曲率/弯曲2 [9 R: ?+ \) t
Curvature, 曲率7 m: ?9 x( {9 D {4 ?
Curve fit , 曲线拟和 5 k, H; S I2 n$ Q7 R
Curve fitting, 曲线拟合: E) l+ A2 q9 Q: O
Curvilinear regression, 曲线回归
, G( g+ H' m0 @Curvilinear relation, 曲线关系& k8 t9 ?& f( ?* d
Cut-and-try method, 尝试法- F x, Q% v# [$ t, X1 X4 w
Cycle, 周期
' i( [, i+ Q3 ACyclist, 周期性
W# Y1 y0 O% o$ V' {" nD test, D检验2 a" F% _% h5 \0 [" v- e
Data acquisition, 资料收集
3 {* ?( m! g a5 v; ~/ t1 lData bank, 数据库
" {6 _, P$ ~# d; o, p; P5 LData capacity, 数据容量0 _* E7 a7 Q3 q" f! O& G
Data deficiencies, 数据缺乏" A2 }0 |6 M. V; V$ K1 U2 l
Data handling, 数据处理3 \$ S% V5 t5 e. ]- ^
Data manipulation, 数据处理& h4 Z8 K1 d$ ]- y# _
Data processing, 数据处理
4 b3 x! R L7 Q) i; ^& E, A& GData reduction, 数据缩减/ o+ O3 ~; S- z y! _
Data set, 数据集; T) G) d7 j* G+ u$ N# Y
Data sources, 数据来源0 i2 z* D: z- i1 _; a x4 X- E7 x
Data transformation, 数据变换
4 s$ H9 d" ?* y+ {9 tData validity, 数据有效性
1 c; i d& a% s: aData-in, 数据输入
2 q6 w3 @ v& Y2 T8 bData-out, 数据输出
2 _9 m. V7 W, l G3 e% ]5 bDead time, 停滞期+ F0 Y$ R% ?" l. `2 d, x9 ^
Degree of freedom, 自由度
4 K2 A- v# e( F) ~' \9 [+ x+ g0 XDegree of precision, 精密度$ c& z! x9 Y1 f9 x$ U
Degree of reliability, 可靠性程度
6 U& `, c6 F$ HDegression, 递减" I( e( W' E, n9 p% r# x2 N. c
Density function, 密度函数4 t7 v" D# X; F m" \3 ]
Density of data points, 数据点的密度+ _3 h( ^( B0 v H
Dependent variable, 应变量/依变量/因变量5 z5 P% a& U c# k
Dependent variable, 因变量
/ @* _, |! h# D" t6 p2 l$ wDepth, 深度1 B, P$ V4 E* A, I) t5 f
Derivative matrix, 导数矩阵
3 t; C! Y( A# qDerivative-free methods, 无导数方法
& z- `) G% Q$ s/ d) D/ @0 HDesign, 设计
6 z. a, i# Q0 N5 R& l! u" xDeterminacy, 确定性
- u% Z8 U6 p7 r" j( v) X3 ADeterminant, 行列式
0 ^3 D/ X$ U3 T3 E+ z' J+ N6 C2 fDeterminant, 决定因素2 ^3 W6 S$ Z0 S$ G
Deviation, 离差
9 X3 s6 v4 b) a% v* D; C( ] `Deviation from average, 离均差
" T& T) P8 L* I1 x$ FDiagnostic plot, 诊断图, u3 U" N" m3 L# s/ F7 |2 T: w
Dichotomous variable, 二分变量3 G( N; @: { l* G4 q
Differential equation, 微分方程
- `, ]6 X" `6 b: H% IDirect standardization, 直接标准化法, M- D. k# d+ T3 o) r6 M5 z( t
Discrete variable, 离散型变量
~" Y& h t* ~) t$ m$ z3 p) v2 pDISCRIMINANT, 判断
7 W* {! g/ ~! A, G1 FDiscriminant analysis, 判别分析
2 M. J) D- |8 O" N8 r6 ~Discriminant coefficient, 判别系数
2 I V/ `) ]' {$ gDiscriminant function, 判别值' r! C& r6 D! I. t- h$ F" l( k
Dispersion, 散布/分散度
# \1 S9 G4 A# u; f' _Disproportional, 不成比例的+ `) U* f# u4 p* j; W3 o( F0 R/ f
Disproportionate sub-class numbers, 不成比例次级组含量
2 K m4 s3 q7 T% x* W( G$ ~6 [6 XDistribution free, 分布无关性/免分布) `# U; L# m: N% @9 {
Distribution shape, 分布形状( }& I; K. Y- h
Distribution-free method, 任意分布法
4 P! A; b. P3 {! W6 r0 nDistributive laws, 分配律' k7 L& p; S4 J; C
Disturbance, 随机扰动项
! o3 r/ a( ` P9 ?2 lDose response curve, 剂量反应曲线9 d. U: b2 F4 C% e/ y( o3 h
Double blind method, 双盲法
2 h5 e7 u# \2 i# y- Q5 A& V' HDouble blind trial, 双盲试验5 k0 B, r7 Z/ i# @1 F) C% y
Double exponential distribution, 双指数分布
0 H5 }* |' w2 D. D+ E. }Double logarithmic, 双对数
" C* M2 H# g" U0 qDownward rank, 降秩' } Q% L( r; z( y
Dual-space plot, 对偶空间图: G: f2 G5 v; @4 t
DUD, 无导数方法" |+ ]& J9 o7 ^
Duncan's new multiple range method, 新复极差法/Duncan新法& V/ p* Z& E8 ?# x# Z w
Effect, 实验效应: o) o) Z: L4 t6 z
Eigenvalue, 特征值; i# [6 u0 n4 X C6 `* C
Eigenvector, 特征向量
1 ^: [& m" i$ b! m; U M) q, HEllipse, 椭圆
/ L$ c$ }* U1 lEmpirical distribution, 经验分布
) L% w4 v' I O' @Empirical probability, 经验概率单位
9 J4 V2 q8 u+ R+ lEnumeration data, 计数资料
9 s+ N8 {! h& L; g% I0 pEqual sun-class number, 相等次级组含量
0 N e; ^& ^, c" ^Equally likely, 等可能# f& G' _- M8 H$ [( q. h
Equivariance, 同变性
; A4 y; `" ]9 A* G. E5 d( ~3 A1 _Error, 误差/错误
6 U7 s( L. A) X: M% I. s8 zError of estimate, 估计误差4 R% q6 K$ ]0 L( B! h1 }
Error type I, 第一类错误
' q& W7 i6 k1 n# V) aError type II, 第二类错误
: Q" X* M) z: i& @' ZEstimand, 被估量
& z* b; w0 ~5 e9 i$ G( }6 g! [ ?. ~2 }Estimated error mean squares, 估计误差均方) i) A5 O6 k- Z6 U
Estimated error sum of squares, 估计误差平方和! \. Z$ I( l( Z8 F) n7 G. ~
Euclidean distance, 欧式距离# I. F+ P4 n" a
Event, 事件
4 H+ ^, j+ V) Z; l* ZEvent, 事件
5 X+ Z7 x& m; ^4 OExceptional data point, 异常数据点4 p/ v# J- q# O& n( f# e# { H
Expectation plane, 期望平面8 ^- Z# K: i/ O$ K8 t2 b
Expectation surface, 期望曲面
7 B& z: v( E/ I& ^) C/ RExpected values, 期望值9 N/ m: d( x) R/ O& G( c% [3 ^) K
Experiment, 实验8 V) x: k, O9 ^7 o
Experimental sampling, 试验抽样
" Y9 R4 L' u, pExperimental unit, 试验单位
( F' m* B* c& P4 X. K; HExplanatory variable, 说明变量* A( u- {; u |' M- o+ G v
Exploratory data analysis, 探索性数据分析9 o2 p; o5 e) C+ A
Explore Summarize, 探索-摘要
' [; \- z+ Z9 s( e" IExponential curve, 指数曲线
5 Z7 K1 N/ _ d& eExponential growth, 指数式增长7 }* q4 ~. W& `( v, O
EXSMOOTH, 指数平滑方法
" G" A/ |% U9 I" U! lExtended fit, 扩充拟合* Z: B$ v% U. i/ V2 O1 T3 T
Extra parameter, 附加参数
% J; k" x6 K+ F4 @1 K3 u9 Q, vExtrapolation, 外推法
0 k4 s% w N) L& RExtreme observation, 末端观测值
' E* [& [# \; g, bExtremes, 极端值/极值- t# {) Z6 E2 d
F distribution, F分布# K: A8 w7 t$ f# U6 [! E
F test, F检验
6 D) U7 f; _9 M( P+ |( t# Z+ zFactor, 因素/因子% G) ]% g5 |. r) R8 T( P5 e* O
Factor analysis, 因子分析
& r1 G8 U9 x% _5 t; oFactor Analysis, 因子分析
0 l" f6 h( t1 Q6 @5 YFactor score, 因子得分
" L* L: w! Q, i/ t4 J+ xFactorial, 阶乘
$ O5 G4 C2 V6 v8 ?# h! TFactorial design, 析因试验设计, E" G# a L. ?3 j7 Z$ e( j* q
False negative, 假阴性. e6 [1 k. G6 y
False negative error, 假阴性错误
7 d' U. {: L0 P- |) jFamily of distributions, 分布族
/ m9 n' R1 x2 z: uFamily of estimators, 估计量族
6 E0 \% j: Z: l5 `4 [! HFanning, 扇面
5 a5 M* ^/ q. f" VFatality rate, 病死率- U; N$ {4 R2 G/ P* N: ~
Field investigation, 现场调查
# z0 t/ o; o" u* ~& J K- GField survey, 现场调查
. \4 @ m. i. Y( |: P( M5 w0 B4 rFinite population, 有限总体
8 X/ i, @; F3 o5 P9 ^Finite-sample, 有限样本" z. l( K) I) j4 V+ Y
First derivative, 一阶导数
E+ L* E( G, e4 a/ M2 Q' S, E- ^First principal component, 第一主成分9 B: @; j8 q) g) ~3 P u; Y, N
First quartile, 第一四分位数, ^" E2 T M: [2 G" D
Fisher information, 费雪信息量
" F. F! ]4 F* _. VFitted value, 拟合值- R: q5 M; @, a& v1 w% Y, ]# ]4 J% y! F
Fitting a curve, 曲线拟合
% @5 i% e" T4 hFixed base, 定基# c _' J o" d$ A1 e) J! n* p2 H
Fluctuation, 随机起伏
4 X- @* J2 k/ v" z1 D- _0 EForecast, 预测
) r. J) B1 z! l+ mFour fold table, 四格表4 D4 e& w6 B2 b( F. _
Fourth, 四分点% G* P V: @( W( j# @& }
Fraction blow, 左侧比率' z( |7 X$ @0 W' j6 A/ G- Z4 |
Fractional error, 相对误差
3 \. Z$ N6 @3 X" O9 U) M. a: z6 s9 cFrequency, 频率 r @1 E- ]0 [. f2 C" ?& _7 O
Frequency polygon, 频数多边图/ m* Q. u7 a( I9 g/ b; p7 G! }. h: [
Frontier point, 界限点+ S% S- j; B; H$ L4 m& Y
Function relationship, 泛函关系- F" [, M/ H, B b1 g2 S- K) h
Gamma distribution, 伽玛分布
& i! p& E% B# C- n( L& ]! l9 n0 dGauss increment, 高斯增量: x2 X. o+ s8 y! `) s: n* \/ C
Gaussian distribution, 高斯分布/正态分布# N2 ?3 ~8 C' K
Gauss-Newton increment, 高斯-牛顿增量+ v3 b, `5 ^) B
General census, 全面普查* L3 u$ y! _ C3 q' J+ M
GENLOG (Generalized liner models), 广义线性模型 7 e" G) U$ w% W d( o
Geometric mean, 几何平均数4 X } H) C! B( t' K/ z
Gini's mean difference, 基尼均差
8 T; D. F! r- A+ z r: U$ W1 XGLM (General liner models), 一般线性模型 ' H" i1 I+ A0 I. k) g: u0 b
Goodness of fit, 拟和优度/配合度& z4 _; O4 ~2 i. ^/ q& o9 F9 F. b/ W
Gradient of determinant, 行列式的梯度: U0 h2 n: ~. b- X% R; W$ C* _
Graeco-Latin square, 希腊拉丁方& ?& W! ~) W/ Q7 ~/ k
Grand mean, 总均值# t1 G) c4 e1 Z+ \7 ~
Gross errors, 重大错误
' l9 O& @, O' dGross-error sensitivity, 大错敏感度
7 c/ T P8 d- ]8 hGroup averages, 分组平均& I- k, v3 l/ {
Grouped data, 分组资料 M6 c3 t% Z% j- h+ R! Q' p9 Y
Guessed mean, 假定平均数
1 o3 G! g8 s- ?Half-life, 半衰期: O6 g f- R6 [
Hampel M-estimators, 汉佩尔M估计量
7 x- E9 K. v8 i+ K" D( THappenstance, 偶然事件& r( D- N, l7 ?; {
Harmonic mean, 调和均数- H/ f1 B3 X$ V$ q" J5 _/ e
Hazard function, 风险均数
+ H7 i: I2 v3 \: a7 z3 _Hazard rate, 风险率
+ b' X- D$ X& b4 x5 D$ P' |Heading, 标目 8 Z& I/ N( M. c5 I. W. C
Heavy-tailed distribution, 重尾分布
4 p9 B# m, k, Q$ I* {+ n5 yHessian array, 海森立体阵
. N) C4 k% j0 p* e2 i8 CHeterogeneity, 不同质
8 M) g. q7 C! n% C" KHeterogeneity of variance, 方差不齐
2 F0 \: ? S- @8 [+ o0 GHierarchical classification, 组内分组6 q$ S3 ~8 Y* _' o4 o, Y
Hierarchical clustering method, 系统聚类法
5 k, B7 `, F) rHigh-leverage point, 高杠杆率点
+ M5 ]6 S6 T% Y: KHILOGLINEAR, 多维列联表的层次对数线性模型
6 i8 A8 W" ^2 U; V) zHinge, 折叶点
& J( [# ?% {# L( WHistogram, 直方图* Q8 B9 p, H1 U9 o4 [* d
Historical cohort study, 历史性队列研究
0 e, X9 g& f. B. l1 I! D4 V4 H% ZHoles, 空洞# ?. Q" X. b5 R2 R8 e7 U6 G
HOMALS, 多重响应分析9 K# P F5 n7 L! L/ B
Homogeneity of variance, 方差齐性
. y# |# k5 G5 O1 j4 ]9 N' nHomogeneity test, 齐性检验8 V+ H9 t* H% e) r- u7 e) x, U
Huber M-estimators, 休伯M估计量" D0 B2 M* }" Z& |9 X
Hyperbola, 双曲线, V! |& `* {! _9 e
Hypothesis testing, 假设检验# p6 n7 T1 v- N' K z
Hypothetical universe, 假设总体
+ n6 [ P, `& B+ {! z; {: E& g; SImpossible event, 不可能事件
* B4 a" P# C* c4 v5 HIndependence, 独立性) L: X3 i& ?: t3 s4 n
Independent variable, 自变量; g0 G9 c; [8 |6 T' U/ `1 d* p
Index, 指标/指数4 }/ i% |4 d, g% `/ p
Indirect standardization, 间接标准化法
1 ^1 H$ P: {) Z7 BIndividual, 个体
6 c$ g' i% M8 J8 W- JInference band, 推断带9 m0 m+ t9 G/ O
Infinite population, 无限总体
8 B& i6 J N/ p0 KInfinitely great, 无穷大
+ _1 U3 C" A/ Z; B: eInfinitely small, 无穷小" v( E( m, n" \9 E3 ?
Influence curve, 影响曲线
: N' W0 }* r' ^9 JInformation capacity, 信息容量
& I" X$ d3 C+ J9 z5 sInitial condition, 初始条件; U7 w! l/ e2 u9 V4 N7 {
Initial estimate, 初始估计值0 y' J) t3 `) T, a# C
Initial level, 最初水平- v* Y t: c& z* k
Interaction, 交互作用
: t" e* w5 G$ X$ H7 dInteraction terms, 交互作用项
! |. O4 s1 I8 r9 |Intercept, 截距1 N3 w% S2 }7 ~+ h
Interpolation, 内插法
: C1 I% G1 y( I+ W5 j1 YInterquartile range, 四分位距
2 w" R7 P7 F" }! [" lInterval estimation, 区间估计+ i' M3 p4 L* @7 H
Intervals of equal probability, 等概率区间7 }2 b" G# d* [5 D3 r
Intrinsic curvature, 固有曲率
/ z; w; }( z( E# \6 ^Invariance, 不变性1 \& \8 y" D: b" u! ^ ^3 K
Inverse matrix, 逆矩阵% J; T- R$ p- s3 s0 N5 y7 k9 w
Inverse probability, 逆概率( q2 c* j9 D) R: z: [2 L% G* E
Inverse sine transformation, 反正弦变换( E: B" [# X+ e+ y+ I
Iteration, 迭代 4 \1 b6 B5 a: Y9 ], C- S
Jacobian determinant, 雅可比行列式+ u/ R' _: W2 n' _" S' i
Joint distribution function, 分布函数
{3 n9 r _, s1 z/ V& `* fJoint probability, 联合概率2 _' C2 ^2 p( F2 `
Joint probability distribution, 联合概率分布3 S! Q0 Z3 T% X5 y! H: t1 M d/ @
K means method, 逐步聚类法
5 W* X) h, o. ~/ G/ l% cKaplan-Meier, 评估事件的时间长度
. x3 c: h a6 w) K6 v7 L% U/ f. k* qKaplan-Merier chart, Kaplan-Merier图
2 p) s M8 R* [ a a3 r: ~, PKendall's rank correlation, Kendall等级相关9 [. H. E% K0 F @4 f7 ^
Kinetic, 动力学: v1 |# G3 ^' ^
Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验0 @) Y6 e9 h& q$ U$ z
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验9 E$ u4 B$ ?' U$ L
Kurtosis, 峰度
/ X$ b9 B) p Z/ ELack of fit, 失拟
& ?+ m) m4 f2 R2 B: {Ladder of powers, 幂阶梯$ L7 |* k S6 a# V
Lag, 滞后. u" k& k' X1 R
Large sample, 大样本
2 e- b7 k& I! p* c2 r4 q1 @0 t8 @% LLarge sample test, 大样本检验
$ O3 y( j% k6 q! u9 f( X0 pLatin square, 拉丁方
- t/ P" H |9 e, Y6 BLatin square design, 拉丁方设计6 m6 V7 P; |0 X q: U% \
Leakage, 泄漏
. l3 m+ `3 d. a6 O4 \( M! V- ZLeast favorable configuration, 最不利构形" t; I" g5 I* c. v
Least favorable distribution, 最不利分布
, L$ h0 k' Z7 \3 x" h( Z. N4 fLeast significant difference, 最小显著差法
: G1 `1 u. @( a7 R7 \2 x. {Least square method, 最小二乘法, G" ]5 h3 q, S. G- H/ `
Least-absolute-residuals estimates, 最小绝对残差估计
! r, e& i$ I/ i( h0 NLeast-absolute-residuals fit, 最小绝对残差拟合! M/ Q$ h1 z9 v9 s8 f) l/ y& ^; n
Least-absolute-residuals line, 最小绝对残差线3 ^9 K9 s% f* b' }- L
Legend, 图例- }/ {, O* A8 U7 W
L-estimator, L估计量
6 p- l! u& p2 f9 T& Z1 yL-estimator of location, 位置L估计量+ s/ ? q; _* |) J1 Z( k0 l
L-estimator of scale, 尺度L估计量
% H. ~$ }: }+ \: GLevel, 水平
1 o+ A8 Q. S; n. |' {5 k6 w2 T% CLife expectance, 预期期望寿命1 n4 F# m, c. }- ~5 n- ?
Life table, 寿命表; N: t/ f3 h- N1 s
Life table method, 生命表法+ f# {% C/ w' k2 J; y) [+ k
Light-tailed distribution, 轻尾分布; d* q3 J9 e& Z# A$ K2 V
Likelihood function, 似然函数& S' T9 Y1 L- V& t
Likelihood ratio, 似然比" D, u0 j. W9 C* @* r
line graph, 线图
2 Q k. S$ L; V8 \3 p; wLinear correlation, 直线相关
- v( K# w: b' z( x/ K1 F$ e$ ^1 {; VLinear equation, 线性方程
$ P+ j+ k2 r5 K: H" [Linear programming, 线性规划! E6 u8 M3 _% m7 Q6 v- L
Linear regression, 直线回归 ^1 g4 N/ V. z( K$ V% X" k
Linear Regression, 线性回归, q* o; g- o6 c) T0 q
Linear trend, 线性趋势# v9 q* u4 R" ~* Z; o6 v V% H( x! q
Loading, 载荷
: D' b3 @, T1 H5 rLocation and scale equivariance, 位置尺度同变性: y. R, @8 t9 J$ ?9 l1 h
Location equivariance, 位置同变性
: j6 s/ h9 I$ K9 K% s: ^' b/ jLocation invariance, 位置不变性- i, _* U; N) U8 z7 }8 M
Location scale family, 位置尺度族
2 ?6 i3 ~* o ?" @: d; R6 W3 @Log rank test, 时序检验 ) Q9 T/ i# z8 t. ^ Q+ {5 M' [8 [
Logarithmic curve, 对数曲线
H" f k1 B2 w/ B( p# r' hLogarithmic normal distribution, 对数正态分布" ? m& K& O9 P7 V5 _' e
Logarithmic scale, 对数尺度
7 Y* q, p( |+ B! U. { h2 k3 @) @Logarithmic transformation, 对数变换
, E3 u5 M [7 LLogic check, 逻辑检查4 Z1 j6 c I" N- u0 o5 m) I; U
Logistic distribution, 逻辑斯特分布& S1 u: c3 G: G7 ]2 y3 D
Logit transformation, Logit转换
; q8 y8 S; u% C: \$ P8 P) y9 bLOGLINEAR, 多维列联表通用模型 3 y- ~. L! ]3 y6 Z
Lognormal distribution, 对数正态分布6 s/ p+ s9 m* d, J: c5 i5 n
Lost function, 损失函数
" ~5 e% V" k% j5 Y( K4 ULow correlation, 低度相关
. M6 D/ g+ Y( X' O: C6 JLower limit, 下限
, q+ j( C) s `8 y' @% z5 wLowest-attained variance, 最小可达方差
3 J2 R& d ]0 l6 h' I8 tLSD, 最小显著差法的简称2 j% W( w( g9 D. p( Y# o
Lurking variable, 潜在变量" Q9 y, m F0 j& K0 J0 [$ Q' D" z3 T
Main effect, 主效应/ |) ^! F( x# U+ {8 o
Major heading, 主辞标目& `* M% H% A# p5 T9 X" `
Marginal density function, 边缘密度函数( n% E& T: W" G; X" G
Marginal probability, 边缘概率2 J! i/ x1 C6 _9 g% D$ B
Marginal probability distribution, 边缘概率分布+ H; o) }& O) T' \3 c
Matched data, 配对资料$ i, Z$ K4 U* [' C! ?, B
Matched distribution, 匹配过分布6 s: `7 I8 J/ I) t' S. z2 m( `1 i
Matching of distribution, 分布的匹配
' B' R9 G6 U2 u4 nMatching of transformation, 变换的匹配
* p$ I" h0 V% M7 JMathematical expectation, 数学期望
7 h2 [8 r4 m" T( Z; I" O bMathematical model, 数学模型 f8 L4 r8 [) O6 A3 }0 G; U
Maximum L-estimator, 极大极小L 估计量7 ^* E' f L: q1 |9 s% J; D
Maximum likelihood method, 最大似然法
% J0 B, y/ `; j. i1 M; Z( A* V! q1 IMean, 均数/ X# K: C& W* R2 o8 S, a
Mean squares between groups, 组间均方& K: {1 M' _9 M* ^# N
Mean squares within group, 组内均方. k! ?5 B$ M& ?( }7 Z2 z5 Q6 R5 u
Means (Compare means), 均值-均值比较
' J* J& o, S0 c a2 yMedian, 中位数
( h8 r8 ?; g+ c: G7 j8 S) JMedian effective dose, 半数效量
! K$ l9 v' ~7 Y. [Median lethal dose, 半数致死量
1 J5 @. W- F" V8 W& h1 U$ D1 tMedian polish, 中位数平滑' u" e6 [) m: [- i! r# x0 ~
Median test, 中位数检验
+ \$ H$ \+ F$ W8 \6 WMinimal sufficient statistic, 最小充分统计量0 J; \8 U9 J9 |1 ~9 A
Minimum distance estimation, 最小距离估计
& S! t' ?; {5 P' ~$ `1 kMinimum effective dose, 最小有效量
$ `% K' f$ `: K) ^9 g* WMinimum lethal dose, 最小致死量 M* Z2 T* l/ k% x
Minimum variance estimator, 最小方差估计量
. G7 F% b+ V: B+ LMINITAB, 统计软件包9 a6 c, t; I0 i0 Q
Minor heading, 宾词标目+ |- K9 \, n) C" a2 z
Missing data, 缺失值
9 i! n& J: c* g2 S, d+ X# u+ `0 S. ?Model specification, 模型的确定
$ s, X, z( j+ h) `Modeling Statistics , 模型统计
8 ^* A2 U" k6 ^+ n) `Models for outliers, 离群值模型
M; \# _9 @; M& CModifying the model, 模型的修正
$ N6 g7 L; b) o+ ] o/ GModulus of continuity, 连续性模: S. E0 @# O2 K, W7 E0 K
Morbidity, 发病率
7 X+ Y: F- c; u' s8 r1 v4 X; hMost favorable configuration, 最有利构形
$ W9 }2 [7 G, g$ l% sMultidimensional Scaling (ASCAL), 多维尺度/多维标度
) O. L7 L# O8 z7 f0 b0 _5 P2 VMultinomial Logistic Regression , 多项逻辑斯蒂回归
; \$ d% C" o! ^& o' l# z ^& f' WMultiple comparison, 多重比较* E8 ]. |2 n+ W
Multiple correlation , 复相关
5 m' [4 s1 K) b i- MMultiple covariance, 多元协方差. `$ S3 w0 P) i# b6 U
Multiple linear regression, 多元线性回归2 c9 A7 t, x4 i6 A' u
Multiple response , 多重选项
: w9 G7 T9 H' M! L1 y4 QMultiple solutions, 多解6 E5 ^: h" _4 ]% z" N& f
Multiplication theorem, 乘法定理7 l# j$ t$ Z, }6 F
Multiresponse, 多元响应+ Q5 n" U% W4 X7 P* m8 A( E* B
Multi-stage sampling, 多阶段抽样: f8 [, r6 Q5 k; \
Multivariate T distribution, 多元T分布 U. |. A% S) G% \
Mutual exclusive, 互不相容! Z9 x/ U0 e/ [: b* M' e& C
Mutual independence, 互相独立
# {; k! Y! W) t- qNatural boundary, 自然边界9 C7 p$ l f- P$ C; {" L
Natural dead, 自然死亡7 u% ], d3 A! w# G! B. a
Natural zero, 自然零- V' E9 w; a" D6 g2 K
Negative correlation, 负相关8 \6 J+ A/ _: P. s9 A3 a1 R- d
Negative linear correlation, 负线性相关6 `* X* _3 f' A
Negatively skewed, 负偏; l" E1 i u' D* y" e6 }) o9 P
Newman-Keuls method, q检验
) A* \/ p" b, \# g! O% w) @' X9 P& UNK method, q检验
7 N4 i0 d6 t. e4 ZNo statistical significance, 无统计意义( U1 ]4 v8 r0 J: c
Nominal variable, 名义变量" o! t. }0 s4 @2 P8 l+ R
Nonconstancy of variability, 变异的非定常性) g7 `1 k2 ~) \7 H! X7 a M% ?
Nonlinear regression, 非线性相关, H' Y. n) l% K& F
Nonparametric statistics, 非参数统计
# N' Q- W! d. K5 j6 h8 J* J! {: ~Nonparametric test, 非参数检验2 [/ x6 a1 n+ \6 l
Nonparametric tests, 非参数检验; z. f7 ^2 @' X
Normal deviate, 正态离差
! _+ t3 p! A$ o, P& xNormal distribution, 正态分布
# l, C$ D- s, D: K2 nNormal equation, 正规方程组
$ A( U/ g! F7 L$ i- V2 C& X4 `Normal ranges, 正常范围6 x9 {7 Q" w% X, w- u1 `% V+ Z
Normal value, 正常值8 `. F$ n2 n4 ~5 `
Nuisance parameter, 多余参数/讨厌参数
1 e, {/ e- A2 E# S O$ q. {6 QNull hypothesis, 无效假设
t! A; D/ d; w' V | f8 d. BNumerical variable, 数值变量0 b6 x& R$ U- C9 C
Objective function, 目标函数) m% Q8 A# y! v) i8 a9 P
Observation unit, 观察单位
' M8 u6 d7 w% ]8 y1 tObserved value, 观察值! b" t& x. A- R" T) ]( D8 A& k$ w
One sided test, 单侧检验
* `1 t8 P+ E/ O6 LOne-way analysis of variance, 单因素方差分析- D9 D. K6 d( ]& _ `
Oneway ANOVA , 单因素方差分析
* W" ^- A0 I" ]/ i/ kOpen sequential trial, 开放型序贯设计
: S7 j7 Y+ W8 N; R: J/ h1 EOptrim, 优切尾
* h' B/ z3 D. v5 X8 P( gOptrim efficiency, 优切尾效率
6 g+ Y1 x1 a& f" {) i: H% q/ eOrder statistics, 顺序统计量
4 g6 c( A& |5 P( _Ordered categories, 有序分类% A$ r9 ]2 g' `% x6 b
Ordinal logistic regression , 序数逻辑斯蒂回归
7 i7 i, u8 N2 x" R$ [Ordinal variable, 有序变量
) m! i; T5 O0 m1 b& LOrthogonal basis, 正交基
$ }# L' X6 j- u! e' }Orthogonal design, 正交试验设计0 e3 n( Z3 A- s4 B; Z3 S
Orthogonality conditions, 正交条件
! l) P# N5 z* z% p/ vORTHOPLAN, 正交设计 r; t. p0 k; a! _- ]3 |# ~) p. p
Outlier cutoffs, 离群值截断点! L7 y: [9 E7 V" N: ?- w
Outliers, 极端值
6 h. R/ y( Y/ i! ?! IOVERALS , 多组变量的非线性正规相关
+ z9 k5 n2 B. OOvershoot, 迭代过度
1 j, ~, h/ S0 W* y! ` }Paired design, 配对设计
1 D) o$ k+ e" {4 w' K: }" {Paired sample, 配对样本- r% C& ^4 K* L+ Q4 n
Pairwise slopes, 成对斜率0 ^2 N! Y# j8 A% G' u& u
Parabola, 抛物线
8 i+ `$ B6 x: k% \Parallel tests, 平行试验
7 a4 n0 f. s( D: F6 r0 T1 w5 K2 x4 c+ YParameter, 参数
' g3 r1 f$ X( l. Q1 }Parametric statistics, 参数统计6 r7 L% S" u1 E
Parametric test, 参数检验 G. G/ |) r: F, r
Partial correlation, 偏相关8 W w! T9 Y% ?$ @- X: R
Partial regression, 偏回归
# D; y+ s; f. K% Y! zPartial sorting, 偏排序 O7 [; M1 \6 R7 ?0 F/ h* o) [
Partials residuals, 偏残差
/ s$ \) ~! W7 k( o3 k/ `Pattern, 模式% u: r% i2 M' a' a; l
Pearson curves, 皮尔逊曲线
9 H1 F1 }5 V2 y3 W3 W) v7 qPeeling, 退层
. H3 k2 J2 ]) X) l/ ^2 K7 dPercent bar graph, 百分条形图+ p2 e# E% c/ V: ^
Percentage, 百分比! \: B; S) p. D$ s# _. }6 R8 J" K
Percentile, 百分位数; ^% U7 C4 I/ T4 T0 Z9 p! w
Percentile curves, 百分位曲线
5 r4 `( U/ B1 y XPeriodicity, 周期性2 B8 m: p8 H' G4 u; I
Permutation, 排列
- n) G, q, Q( q {7 o: }- h3 k/ Y: H6 wP-estimator, P估计量
$ \1 I" b. |& e" s" o. w4 k7 MPie graph, 饼图* v8 i) Y9 q" y5 P, `- w% v- H
Pitman estimator, 皮特曼估计量
5 f2 f0 N& L) _Pivot, 枢轴量0 Z6 X) S' ?: v
Planar, 平坦
. Z8 s! J P' n! mPlanar assumption, 平面的假设
' M: [- k! ^3 z# f% PPLANCARDS, 生成试验的计划卡$ p- o( e5 A! Y! N" C
Point estimation, 点估计: R0 X% X* p- s( v) x, _
Poisson distribution, 泊松分布) y" X" |/ p( W% d$ l' I& @
Polishing, 平滑& G# [9 \& U) Q+ s
Polled standard deviation, 合并标准差# G0 S! `" w# T
Polled variance, 合并方差
, U( {( Y' D, ]7 p7 e. G* S( H; iPolygon, 多边图
3 \' {4 y5 B, Y0 IPolynomial, 多项式
1 b! N0 _5 g1 A8 L @8 _8 uPolynomial curve, 多项式曲线$ i& e5 j* k% k! @1 S
Population, 总体: D+ ]) [0 J( \. g" d
Population attributable risk, 人群归因危险度0 b6 f' t: |+ s% `$ Q
Positive correlation, 正相关
' v6 l6 `( ^' pPositively skewed, 正偏" [4 I7 _$ q5 \+ y$ I
Posterior distribution, 后验分布
3 h* C9 ]8 ^' v+ W+ cPower of a test, 检验效能
4 b' d+ p. t+ b) Y' aPrecision, 精密度; R% k g: P3 t5 ~
Predicted value, 预测值
L) l, j" b4 W& ?! n5 H9 X: R. JPreliminary analysis, 预备性分析
; [$ R* v# X SPrincipal component analysis, 主成分分析- h* \9 B5 {! C* c. i
Prior distribution, 先验分布
4 ^/ d+ ]9 p- I2 B( x$ Z0 yPrior probability, 先验概率( x. n+ I* F1 o; X" D- J/ `' A
Probabilistic model, 概率模型
" N" Z0 u1 f6 b" G' C+ Gprobability, 概率! [* D" U* b* x( u
Probability density, 概率密度+ f2 V# F* T4 c- i* `' \
Product moment, 乘积矩/协方差 i' ?6 E8 n9 E5 V# q! G
Profile trace, 截面迹图% Z0 K+ o( Z O( r ]
Proportion, 比/构成比
! m( @ b- e3 kProportion allocation in stratified random sampling, 按比例分层随机抽样
( e: a+ v& i8 @5 sProportionate, 成比例
/ I0 v% W3 o: o |: a+ gProportionate sub-class numbers, 成比例次级组含量- i4 ?3 Q+ b! U
Prospective study, 前瞻性调查
: Y5 b0 A3 T( GProximities, 亲近性 0 [$ J, ]8 T2 t" v5 ]& a
Pseudo F test, 近似F检验* K/ u0 ~% _9 [5 K8 f
Pseudo model, 近似模型
* v9 @ s( G' H! e4 v8 oPseudosigma, 伪标准差
& } J0 O; A$ T3 C$ ~Purposive sampling, 有目的抽样7 O+ M5 N8 E9 }4 X5 w
QR decomposition, QR分解
5 \( i( S! N2 @: J1 {Quadratic approximation, 二次近似
* m0 a4 w# a% [. c- gQualitative classification, 属性分类
6 I3 W' ]+ p2 j& RQualitative method, 定性方法" T! t8 j" }7 Y
Quantile-quantile plot, 分位数-分位数图/Q-Q图
4 h, g c) q! K% H8 E6 [Quantitative analysis, 定量分析+ u+ G5 I4 |3 y
Quartile, 四分位数6 z. \2 Y/ A0 }1 ^, ]
Quick Cluster, 快速聚类
4 b5 S7 U6 b6 H7 NRadix sort, 基数排序" P4 ~3 {/ o9 M7 B% j6 ~: M7 u, N
Random allocation, 随机化分组
* L: z& b! p3 ] W2 I+ y, S( TRandom blocks design, 随机区组设计7 E# Q! S! O' S \9 a9 G. e: G. G
Random event, 随机事件2 T2 y* }0 i9 l, Y. H
Randomization, 随机化
6 i# H! J( V4 p# HRange, 极差/全距" n5 K; v$ e) ?3 g0 Z2 X r0 h3 h2 H
Rank correlation, 等级相关
- [5 z0 ?6 Y/ h2 D% r/ }Rank sum test, 秩和检验1 R% g3 R7 n& X+ j: |
Rank test, 秩检验
0 y! b: |" u/ Y2 [; b7 d6 U2 WRanked data, 等级资料; ^" {& K& |) a; l/ N( [% S) D# s
Rate, 比率
: r% D2 V0 E/ Q2 q/ i% U% wRatio, 比例
9 y+ T9 ^# l) K9 V* ^7 vRaw data, 原始资料
- Y& a; q3 P2 W% v1 V8 TRaw residual, 原始残差! H3 W. D! z6 b" k X; V
Rayleigh's test, 雷氏检验
; D; ]8 S7 l' z" eRayleigh's Z, 雷氏Z值 , ?, G' F- K, x0 R4 Q
Reciprocal, 倒数* `5 v! `; a: k# {+ `/ }
Reciprocal transformation, 倒数变换& ]) r0 D( Z+ B( t) _. r
Recording, 记录9 m9 l0 ~) A' W O0 d/ j% a
Redescending estimators, 回降估计量
7 W: b( f* D5 m" WReducing dimensions, 降维
( v7 B/ P- O& Z% u; q+ fRe-expression, 重新表达5 h: l& f$ ~1 Y/ F
Reference set, 标准组
; K i7 N5 c" R1 H4 I! ORegion of acceptance, 接受域. }# Q- w9 t# l: }
Regression coefficient, 回归系数# r9 _) Q- u; A+ f6 y
Regression sum of square, 回归平方和7 x9 e: w5 f% p
Rejection point, 拒绝点
+ ]1 A3 m' ^; ~( M- u7 f/ PRelative dispersion, 相对离散度5 i5 o. E9 l* }/ e6 s% ^
Relative number, 相对数1 |! g4 T8 W( A+ f6 T
Reliability, 可靠性3 a! g) K3 X0 s- n6 z
Reparametrization, 重新设置参数
5 k" @% n( h3 r+ ^Replication, 重复! a* s3 [( R% J f. p
Report Summaries, 报告摘要
9 J$ o3 }; u- u) t X1 RResidual sum of square, 剩余平方和. r8 k9 @" F. a( ^7 h1 H- v. m7 d
Resistance, 耐抗性
, G2 @) _% X* j3 p3 Y+ L+ oResistant line, 耐抗线- T- Y# `' h0 N2 Z
Resistant technique, 耐抗技术
, T1 r9 O! @( b% BR-estimator of location, 位置R估计量
# |6 B6 ~! c- r" ^& A2 n' XR-estimator of scale, 尺度R估计量
* Z/ A& ~2 i. M+ K0 j. ]9 YRetrospective study, 回顾性调查2 z# M9 n! H+ h" i
Ridge trace, 岭迹
4 n4 [ K( k( ^7 lRidit analysis, Ridit分析
" e- d7 q1 o- v3 @$ v# _! pRotation, 旋转
. g9 m V2 }; ^ z/ S9 f6 | \Rounding, 舍入# K6 m3 ]+ y1 b( D0 V& }( d1 P( b
Row, 行
! V3 v2 K$ u* p' j }+ gRow effects, 行效应3 b9 Q( Z" } M1 @# l) \0 w
Row factor, 行因素
: D9 W" O1 \2 L: {1 |* M; S, B* aRXC table, RXC表
1 m: k: |4 z0 e. K0 ?( {! L( M1 ySample, 样本
' B: y, p9 Z; P R0 xSample regression coefficient, 样本回归系数
1 T2 b( s7 B0 c2 R7 aSample size, 样本量
* S/ U- W- _% Q8 f$ {/ E9 n" [Sample standard deviation, 样本标准差
8 C" N" ]2 a7 [* U* sSampling error, 抽样误差. f! h% c7 L8 a- G, P# \
SAS(Statistical analysis system ), SAS统计软件包
$ q2 H, p+ }3 t( K% h, @8 sScale, 尺度/量表
i( B" q5 p! _) w8 j" T8 UScatter diagram, 散点图
' F8 m9 w. J7 t" [) V! F, vSchematic plot, 示意图/简图
V; p9 [6 a6 ~/ LScore test, 计分检验; d6 [" D$ ~0 Z3 \' S) G( ]0 _
Screening, 筛检) l8 w3 W, Q! M5 f r
SEASON, 季节分析 1 R) h0 m" d! z* t
Second derivative, 二阶导数
& ^1 c2 _) t; JSecond principal component, 第二主成分! I% o6 O( C# V; e% r, Q
SEM (Structural equation modeling), 结构化方程模型
2 E" V5 \! ^3 B% B3 V" J0 t: LSemi-logarithmic graph, 半对数图" U1 }. ]4 Z7 H6 Z. ~7 ~# Y
Semi-logarithmic paper, 半对数格纸
( Q/ e1 @1 h7 o2 |6 E/ y0 MSensitivity curve, 敏感度曲线
3 m8 S X* } D; S1 TSequential analysis, 贯序分析
+ v4 z$ f/ i* ~, CSequential data set, 顺序数据集
t; ^# k5 p6 Y5 r- l- D6 I) SSequential design, 贯序设计
4 D2 P v% |8 P! F. RSequential method, 贯序法
$ [ n, k* J) B8 c+ T+ w0 n/ gSequential test, 贯序检验法) v% p4 W# n2 @, ]) y
Serial tests, 系列试验- A4 v3 M+ o+ H8 x$ @
Short-cut method, 简捷法
A. [' _. g' DSigmoid curve, S形曲线
- c, K+ P. ~$ G8 m. PSign function, 正负号函数( \; T" w, O) l/ ]
Sign test, 符号检验4 ]/ {) u2 O( m3 E7 E
Signed rank, 符号秩( s; u1 f' G8 Z% I
Significance test, 显著性检验
3 `/ s; D% k6 Q6 V' PSignificant figure, 有效数字. h. v. V2 Z0 W* K
Simple cluster sampling, 简单整群抽样' ^; `& Z% x& D0 b2 c/ L5 D
Simple correlation, 简单相关
2 G8 C: i+ M- tSimple random sampling, 简单随机抽样
8 M8 g4 y# q4 W/ {) @0 G' @Simple regression, 简单回归
* f* d) w& h+ l; _( J; ?8 D# S. Csimple table, 简单表* A/ w7 m) J. j
Sine estimator, 正弦估计量
( } }4 p) X8 O# @2 qSingle-valued estimate, 单值估计3 t1 P" [0 v$ Q3 s9 K
Singular matrix, 奇异矩阵
$ {- }, L y4 [Skewed distribution, 偏斜分布
* o0 t+ d2 N) y7 _Skewness, 偏度, f+ ~; E: {2 k. t9 J
Slash distribution, 斜线分布; Z4 F+ I# b" P6 E* U
Slope, 斜率
$ ]3 H% s" G; n$ G1 N- _9 USmirnov test, 斯米尔诺夫检验/ e3 E- B# V* q: }- p0 l
Source of variation, 变异来源4 {/ u D, d6 `6 ~) N( ]
Spearman rank correlation, 斯皮尔曼等级相关
5 B' a+ w8 f3 Y0 J$ G. ?. }Specific factor, 特殊因子! A; V* p. a5 `: [- }4 g
Specific factor variance, 特殊因子方差5 j# d2 l# h: P/ r- O- A+ M
Spectra , 频谱1 z% d% T. y0 Z% o7 G+ z6 v+ n8 ~
Spherical distribution, 球型正态分布4 S4 l& y- z1 J9 \8 K: m
Spread, 展布. @# Y. q c$ k2 V
SPSS(Statistical package for the social science), SPSS统计软件包( J3 e) `6 z3 \! o
Spurious correlation, 假性相关8 L( U, A+ b; _" X
Square root transformation, 平方根变换
4 {7 P+ X$ L# j- h; ?' Y/ BStabilizing variance, 稳定方差
/ W. B1 ?$ |) bStandard deviation, 标准差
2 k1 Z; a5 `# S$ [( K' S, |, BStandard error, 标准误( g" Y! C) ^+ W
Standard error of difference, 差别的标准误
: @7 g! f# \( sStandard error of estimate, 标准估计误差- E2 y4 e1 d6 J% @& U
Standard error of rate, 率的标准误
8 E7 V: b0 ]5 \, V' t9 mStandard normal distribution, 标准正态分布
1 c2 k- n9 A$ p! q( W& @' X# i" GStandardization, 标准化
& q5 L4 t+ S9 i4 [) lStarting value, 起始值
4 n! X) ]: f/ l0 I# l# UStatistic, 统计量
. z$ J; U2 b4 v2 P! P4 o3 uStatistical control, 统计控制
4 P; ]( x G0 mStatistical graph, 统计图
. p/ E# ~2 P+ k' bStatistical inference, 统计推断
. O; t8 o7 \' c) M+ I; dStatistical table, 统计表
" [3 Y4 f9 f, c( F% ~& m% \# OSteepest descent, 最速下降法9 m- H! l' _. l$ h% M O
Stem and leaf display, 茎叶图
2 P. N# p u$ TStep factor, 步长因子4 |3 a% w8 [' U# y
Stepwise regression, 逐步回归: Y. }6 f" `1 r; a# l" R
Storage, 存
7 h$ e5 I \4 {7 l8 U% ?* xStrata, 层（复数）
2 b: y$ A5 F, ZStratified sampling, 分层抽样4 c$ U w0 n4 j y, [
Stratified sampling, 分层抽样
# m6 g) r2 b6 C6 L2 _! |% O. ?Strength, 强度
. Q7 A9 j4 B5 u' }# b# V' W5 kStringency, 严密性
/ z' w# m0 F7 W, o& _- XStructural relationship, 结构关系0 D, }! n8 N- G) R
Studentized residual, 学生化残差/t化残差8 F9 Q7 H" P: q! p1 U' b
Sub-class numbers, 次级组含量
$ E. [; E$ S ]1 JSubdividing, 分割# n& F4 T8 H1 j
Sufficient statistic, 充分统计量
! `. O" `& B- o5 b( K4 nSum of products, 积和
( r& s3 \9 @) dSum of squares, 离差平方和& @; A& ^ N# a, C, Z
Sum of squares about regression, 回归平方和
! N/ ]9 N( p8 a, e' y) uSum of squares between groups, 组间平方和
* `, {2 X) {7 x7 {* W+ gSum of squares of partial regression, 偏回归平方和
- M2 Q. `# ]* B$ T8 \Sure event, 必然事件
& J& g7 ~$ j* [0 Z$ ^, vSurvey, 调查
0 z7 p2 \7 W; K0 G- l6 i' W! iSurvival, 生存分析
& y5 t3 |- Q& q% B& PSurvival rate, 生存率/ f: [$ a# R: }5 j
Suspended root gram, 悬吊根图% {" J c3 n: w! h' t& u2 V
Symmetry, 对称% l; Y7 p0 i0 G$ B& p
Systematic error, 系统误差
3 i- p2 e& u0 J" d4 OSystematic sampling, 系统抽样
2 A# k3 w" o. w2 x; t# |0 ETags, 标签
) W( b4 a. ^; [Tail area, 尾部面积& R; n! ?, `: C" i W& P7 I2 j
Tail length, 尾长 o, }( s: r" w+ |
Tail weight, 尾重% j6 G7 `. |! E% A# z3 c, t
Tangent line, 切线7 D- u% F ^/ T8 Z% O. `/ h
Target distribution, 目标分布
5 m7 _' m5 _& N3 e( N1 N4 JTaylor series, 泰勒级数, p5 L3 X5 A% Y$ }
Tendency of dispersion, 离散趋势4 L& w4 a1 j/ _' L# i
Testing of hypotheses, 假设检验
" T' m6 S% e. ~' W0 aTheoretical frequency, 理论频数
. |9 a O% R# {9 nTime series, 时间序列' N E( s. q! Y5 q7 x1 _$ ]
Tolerance interval, 容忍区间
. V7 }, o' Q G$ H m6 T- N3 d6 BTolerance lower limit, 容忍下限6 x9 }2 W2 A$ [
Tolerance upper limit, 容忍上限
9 |) m# Y, x& e8 [+ b! h6 WTorsion, 扰率
i* C+ a2 E5 z$ CTotal sum of square, 总平方和
6 W* P$ s1 Q ?- H( J% j* Z; tTotal variation, 总变异, T5 f& G% t( g
Transformation, 转换
! P" C" \( ~. u- e% `0 RTreatment, 处理. p: B! f- D# w7 i* b, Y. A1 }0 J
Trend, 趋势
' P% o& p4 m- `$ ETrend of percentage, 百分比趋势0 g0 \, l- @$ \* i5 n
Trial, 试验2 C4 a, g2 d+ N- b
Trial and error method, 试错法9 ?; x$ I# K ~* W2 r
Tuning constant, 细调常数$ G* ]6 J/ T' ]/ S" s
Two sided test, 双向检验
- h/ a/ i* B, v0 x; ^& K9 ?Two-stage least squares, 二阶最小平方
. E4 P6 @( _+ TTwo-stage sampling, 二阶段抽样% ~5 d1 }5 W' Q, `4 ~" l# f: I
Two-tailed test, 双侧检验( Z" O6 l/ j: g7 }* H
Two-way analysis of variance, 双因素方差分析
; X% _& Y& h" ^% ^6 sTwo-way table, 双向表
- F- e6 e$ n& x* s" _( wType I error, 一类错误/α错误" n4 H6 l6 f. Q
Type II error, 二类错误/β错误. R" c) H" m5 }6 {4 _% M6 o
UMVU, 方差一致最小无偏估计简称; W/ q( `+ x' {
Unbiased estimate, 无偏估计. h( W, P' v1 [ f8 @0 C4 o6 c
Unconstrained nonlinear regression , 无约束非线性回归1 y5 b4 T' h0 p' [2 ~- y z! B9 p
Unequal subclass number, 不等次级组含量
. f9 p% r* ]4 ~7 JUngrouped data, 不分组资料2 _. z+ O3 b. R+ ^9 I6 M
Uniform coordinate, 均匀坐标
! A0 b7 ~! x8 {Uniform distribution, 均匀分布
# S9 |: m& p; U) d4 X2 hUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
5 Y$ q: M5 h9 V# _Unit, 单元1 q1 y4 D" Q* d% q5 \
Unordered categories, 无序分类
* X5 V- V: c. o6 w& X- H3 I" M' q2 ]# \# \Upper limit, 上限: J; r! m/ g7 J5 ^; R ^# Z
Upward rank, 升秩
' Z& V3 w- d: vVague concept, 模糊概念/ L, [) I# G7 ~7 ~+ V3 ^" a& h
Validity, 有效性
3 m$ y. z9 t9 e( S: S2 HVARCOMP (Variance component estimation), 方差元素估计; s( [6 ^5 K. |* w6 D U5 b7 |/ G# z
Variability, 变异性! ?5 ]/ U9 H& H" j# p
Variable, 变量
; A; n5 ~' ~+ q, T7 r4 A! G" S% l0 e6 PVariance, 方差
' V7 }- f# a yVariation, 变异# H( q! p' h; ~' V5 N
Varimax orthogonal rotation, 方差最大正交旋转
! G2 }2 a7 T2 G+ n; ~: H- Y9 F) `Volume of distribution, 容积
( I S9 f* C8 C( ^1 ]& ]W test, W检验$ f/ c7 D9 V3 n: R2 C- _7 D
Weibull distribution, 威布尔分布
6 a9 g% T/ R) q9 a! z1 s4 qWeight, 权数+ V- B% @ h6 E( _1 K
Weighted Chi-square test, 加权卡方检验/Cochran检验8 x: @# h( k! q
Weighted linear regression method, 加权直线回归. a! o" b1 r* l% X- {7 I) ^" \" g
Weighted mean, 加权平均数6 Y2 [* U! e* i" l- H
Weighted mean square, 加权平均方差
- P& n( C& B+ D9 C9 x2 ?1 }: EWeighted sum of square, 加权平方和
. Y) `$ d% R0 q6 z8 V5 sWeighting coefficient, 权重系数
2 i: e. U! A) e# V/ K% c% a! H; oWeighting method, 加权法
4 |+ X3 R" q6 r2 o7 a, s4 _W-estimation, W估计量: Z5 ~1 F7 b4 {9 t% {( i
W-estimation of location, 位置W估计量
0 D7 z6 }8 R4 x3 `6 C* b. ~Width, 宽度
8 C; J. C F2 g) r) o6 l5 N5 n4 B% SWilcoxon paired test, 威斯康星配对法/配对符号秩和检验' L; c) n# M& u; v; h8 E
Wild point, 野点/狂点' o* A6 v( L+ I! u
Wild value, 野值/狂值9 B' u' Q8 z- R9 b9 P" ]7 j
Winsorized mean, 缩尾均值
" x6 }/ j6 a* w, V$ rWithdraw, 失访 $ O8 W: o C& `- h3 ?; [, @" D5 C
Youden's index, 尤登指数4 x; Y7 k9 ?5 n0 p* q% U& ]
Z test, Z检验4 J+ h/ J( r% [8 i: {6 l Q
Zero correlation, 零相关: `0 W' w5 }& Y9 { Z
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
