|
|
Absolute deviation, 绝对离差1 M5 ?3 F, T' g/ ~
Absolute number, 绝对数8 ~4 _. y8 s, T" A
Absolute residuals, 绝对残差
6 w, q2 ]$ V1 s9 Z& {Acceleration array, 加速度立体阵
5 i3 Z* |# m7 b& u) rAcceleration in an arbitrary direction, 任意方向上的加速度" K5 ?9 k& h$ U6 t/ Y
Acceleration normal, 法向加速度, x( U' Z! B: N3 P
Acceleration space dimension, 加速度空间的维数
9 Q( [5 {4 d8 f7 L# N; }0 aAcceleration tangential, 切向加速度
: F( E# s" i# c/ {) C# R6 Q; Q5 `1 tAcceleration vector, 加速度向量
/ b P9 J: o! n. l' VAcceptable hypothesis, 可接受假设5 {1 X2 Q4 `0 a+ _' W) y
Accumulation, 累积4 }' {# X( c3 X8 o2 X
Accuracy, 准确度$ P; e4 T) E7 D/ N- p/ j9 z* X ~
Actual frequency, 实际频数
6 Q" h* N" l/ aAdaptive estimator, 自适应估计量' {4 Q u j" L9 s" e2 q1 b
Addition, 相加
7 C" x6 R$ r9 G0 ~3 mAddition theorem, 加法定理
# r0 g7 Y) d8 }' j' yAdditivity, 可加性
) d3 d8 J- e- M2 `2 C, V$ s# {Adjusted rate, 调整率0 |4 z- y. w& {" e2 n0 I+ Q
Adjusted value, 校正值+ i6 ^; @4 x# @6 I) g- r }
Admissible error, 容许误差
0 P* \2 X+ P/ |. U P# X- ~6 TAggregation, 聚集性
* E1 V* @5 @! Y, V* ^- NAlternative hypothesis, 备择假设
/ j' @ m% ^ }+ o7 aAmong groups, 组间
% [5 t. e0 d( z$ `Amounts, 总量9 Z. V, Y) Q s, a! q- s
Analysis of correlation, 相关分析
2 `4 s' I( R; C2 ~3 MAnalysis of covariance, 协方差分析
0 L, ?: K W5 W; q- K0 JAnalysis of regression, 回归分析- i* k* d5 _" g
Analysis of time series, 时间序列分析4 c7 F9 \- H1 B1 H* K! ]9 N& k n
Analysis of variance, 方差分析
6 O( |4 [* j; n7 x! B* ]3 t7 hAngular transformation, 角转换1 n: P1 O/ y9 _& J
ANOVA (analysis of variance), 方差分析
( q) D( I" t' p9 R2 QANOVA Models, 方差分析模型 p" ^" o3 p* p5 X: J7 h$ P
Arcing, 弧/弧旋5 R1 U4 s% Q. m2 }
Arcsine transformation, 反正弦变换
w" D$ e7 x; ^" l. _Area under the curve, 曲线面积; m: W1 T% c- }' Z! X& r2 t3 {
AREG , 评估从一个时间点到下一个时间点回归相关时的误差 & ~2 V) K9 z" m/ p: J f! V
ARIMA, 季节和非季节性单变量模型的极大似然估计 1 E. a# E& f( n% m' L
Arithmetic grid paper, 算术格纸
& G- d; C3 G% i) e- }5 S: z' dArithmetic mean, 算术平均数& O% S( l# M6 w- g3 {( K: N( S1 M% i
Arrhenius relation, 艾恩尼斯关系
& `; }8 Q9 g o% q6 AAssessing fit, 拟合的评估6 ?4 i/ A% K9 w2 B- X" \
Associative laws, 结合律: B9 d, @: Z' e ~& r6 l; P) u
Asymmetric distribution, 非对称分布
3 h ^/ e7 [) _* VAsymptotic bias, 渐近偏倚
1 J' r$ J% c1 H0 z" ?& W% rAsymptotic efficiency, 渐近效率7 ?9 {$ Q5 X" q8 O3 n- k
Asymptotic variance, 渐近方差
o' P% z; E; c3 H- A4 d# T. SAttributable risk, 归因危险度
/ p5 a, p5 F, hAttribute data, 属性资料. V+ S7 B6 L( E, O
Attribution, 属性8 o0 a: j; k+ [# i, I
Autocorrelation, 自相关
& V) m) \% U( V5 M" a/ lAutocorrelation of residuals, 残差的自相关
% _# M- ?( n& m+ D0 ]" r/ M rAverage, 平均数 e; G% t% @1 H/ ?% _( U
Average confidence interval length, 平均置信区间长度) C; G1 E, a; u A/ s# m
Average growth rate, 平均增长率
9 i C9 Z& T7 [! ]" y4 u: VBar chart, 条形图* a: `1 T) k/ d7 |; r
Bar graph, 条形图
8 U. ~4 B8 V7 z0 L3 EBase period, 基期
6 \! l; W/ `2 @ m6 b! rBayes' theorem , Bayes定理" q: `& U9 m1 O/ V6 U; j
Bell-shaped curve, 钟形曲线1 Q6 o: ?, h: }$ p
Bernoulli distribution, 伯努力分布
5 ^9 K/ l& M8 L; F+ o( L( D, NBest-trim estimator, 最好切尾估计量
`$ V( t$ |4 W+ S, uBias, 偏性" o# E& M, F: W+ R
Binary logistic regression, 二元逻辑斯蒂回归
, o7 ]# E, U& a% Z9 UBinomial distribution, 二项分布& |$ p2 z& f" S& V
Bisquare, 双平方
) M5 Y+ d( j' {Bivariate Correlate, 二变量相关
" C& p# C+ s* l( ^- QBivariate normal distribution, 双变量正态分布# r- _9 I9 \% x+ d3 z7 z
Bivariate normal population, 双变量正态总体- [: r; X& l: i/ j6 _, i
Biweight interval, 双权区间
+ o9 y) W j3 i" y7 v. o8 M: CBiweight M-estimator, 双权M估计量
3 o: ^$ Q, l& H# i/ cBlock, 区组/配伍组% m8 B* z5 S/ f( E
BMDP(Biomedical computer programs), BMDP统计软件包
6 P; d# a1 o- F/ v! P. Y( v% E) ABoxplots, 箱线图/箱尾图2 q0 F2 k. l3 A+ G+ J5 K: G
Breakdown bound, 崩溃界/崩溃点
2 d1 d# @& K3 n' U% ^Canonical correlation, 典型相关; N- ^$ [* } ~$ k0 Q& I5 g
Caption, 纵标目* y- o" L9 Y) E/ I5 ^9 W6 f; u. T
Case-control study, 病例对照研究* P1 t6 L' H" e. [/ j* T A
Categorical variable, 分类变量, x: f& s. F6 Q) d" m
Catenary, 悬链线
- d& ^5 a% S, S7 ]6 V {6 H9 vCauchy distribution, 柯西分布' l7 N- x9 \. L6 Q
Cause-and-effect relationship, 因果关系
( t+ C; o$ j6 W- w- f0 }5 MCell, 单元+ i2 ?9 U) c I! ~1 C
Censoring, 终检1 k5 b; \6 F y( y" D6 C* n" Q/ q
Center of symmetry, 对称中心
9 e9 _ O! v) p, j( r8 C4 XCentering and scaling, 中心化和定标
0 h9 G% u7 A0 b" P& ^+ z( s% Z. M0 `Central tendency, 集中趋势+ [5 l1 n6 Y( u; W7 G* t6 B
Central value, 中心值 M/ ?! G. a- ]& y1 w0 Q- h6 q
CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测- r* `+ r" d2 o5 c8 |
Chance, 机遇4 H9 a& @/ G! w( t8 o
Chance error, 随机误差7 G* P9 X' I+ F
Chance variable, 随机变量
) U4 c8 {; |* f2 W4 ?$ c8 bCharacteristic equation, 特征方程
9 D" q6 h: ^/ k/ \1 lCharacteristic root, 特征根1 f! t& K! D# O( V7 a. \
Characteristic vector, 特征向量
) L) e( r5 H3 |Chebshev criterion of fit, 拟合的切比雪夫准则& P6 `( a: ~4 W8 p+ o0 o" k
Chernoff faces, 切尔诺夫脸谱图
! Y! b/ N( s5 ?6 C, S4 ?Chi-square test, 卡方检验/χ2检验
' ~, f/ l' k8 j3 b# j- \Choleskey decomposition, 乔洛斯基分解) r( {$ f2 N0 T. p; k9 O, ~7 N$ F
Circle chart, 圆图
! s2 \, o- M$ Z/ s" wClass interval, 组距
) e5 [6 y% X* H2 @2 B8 M pClass mid-value, 组中值
8 B5 p0 J$ }& U/ \$ G, Z* WClass upper limit, 组上限4 ~7 \: Z" H% }+ E m+ o
Classified variable, 分类变量
8 K) p4 r& |7 S3 n0 P+ dCluster analysis, 聚类分析4 S$ G( {3 `) e. U1 ?& C% V3 h0 ?
Cluster sampling, 整群抽样2 `: ^) r. D& g2 e/ p0 B
Code, 代码
! \: w: n# |$ E3 Q9 Q* j3 cCoded data, 编码数据
J" T1 w/ ~0 P, y0 q" t0 PCoding, 编码2 z2 p8 O {$ C8 r' \ f; s
Coefficient of contingency, 列联系数
8 e& k& n; G: a- n$ jCoefficient of determination, 决定系数
# W* a3 B" n) F0 t. B- r! K/ vCoefficient of multiple correlation, 多重相关系数
3 |6 r8 b; i+ J: F$ OCoefficient of partial correlation, 偏相关系数! i, ^& ?1 }/ r$ f
Coefficient of production-moment correlation, 积差相关系数
: F. `7 B- }: aCoefficient of rank correlation, 等级相关系数
8 y* Y0 U, q5 iCoefficient of regression, 回归系数# t! {+ L1 c& r7 h, T* R
Coefficient of skewness, 偏度系数" o) K/ V6 o2 p; R: _2 s
Coefficient of variation, 变异系数
! J) b- g5 X7 l% t2 B0 \! Y8 bCohort study, 队列研究
; A/ y8 u) O/ x8 V! P2 uColumn, 列
1 ]6 @. }- @( U x' lColumn effect, 列效应
0 M( i! T0 `! P& `Column factor, 列因素
' w/ _, u, h9 j7 k& n/ I) l6 cCombination pool, 合并
0 y0 v' B2 C8 W( ?& n( p: t/ PCombinative table, 组合表0 y2 [' N& Q) A/ N# g; ?0 F
Common factor, 共性因子% x7 B2 D+ e9 S$ @1 m/ l8 o
Common regression coefficient, 公共回归系数$ e7 X: [" K2 O/ ?( ^) x( p
Common value, 共同值/ K- l0 n- H: G% n9 F5 d
Common variance, 公共方差0 T0 Q8 A2 R( h& C
Common variation, 公共变异
8 v. I3 W5 R! T& v6 `8 q0 xCommunality variance, 共性方差+ s6 `0 l3 i6 K7 s! T+ E# j( k
Comparability, 可比性4 }9 d0 N! A# b1 @4 b& n
Comparison of bathes, 批比较$ U3 V9 @$ T; z" M# t7 K6 n& Z
Comparison value, 比较值
3 W8 y5 l- d8 o8 A4 N8 z! pCompartment model, 分部模型
V$ X2 W/ _! a) t# ACompassion, 伸缩
- ]6 G1 t0 g) ]3 W/ ]+ R9 Z. G! [3 O& n NComplement of an event, 补事件$ X5 _! ^ J- Z0 i) f [
Complete association, 完全正相关% V/ Q- L! L) _0 F6 a z& [
Complete dissociation, 完全不相关$ ~! n8 h- Q" n2 q1 a \
Complete statistics, 完备统计量6 ~6 U2 Q3 b2 S3 O! @, u/ W
Completely randomized design, 完全随机化设计9 @7 T* p i$ ]( q* b: c; T
Composite event, 联合事件
4 ^, W% Z S: `/ Z7 FComposite events, 复合事件
" H& @. ]! I! [6 N ZConcavity, 凹性6 f6 v! G% f; p6 u. v; k
Conditional expectation, 条件期望1 D& ]7 u$ V1 z) U7 r2 x
Conditional likelihood, 条件似然5 U, {# R% b$ X! A2 T5 T
Conditional probability, 条件概率
; F9 B0 _# I! [8 e5 q. L2 {4 ZConditionally linear, 依条件线性
" N% n9 ~( I* B2 TConfidence interval, 置信区间7 b* w9 { `) W n
Confidence limit, 置信限% `- g6 O0 D- x/ B3 y# V
Confidence lower limit, 置信下限
K& F: W% C- t' J* V3 b( a# y7 uConfidence upper limit, 置信上限
1 w1 E+ _- z# a$ W( HConfirmatory Factor Analysis , 验证性因子分析
; l: E7 C( D. j' \( aConfirmatory research, 证实性实验研究
0 j g3 h( ^& h4 w6 s, MConfounding factor, 混杂因素5 s( R, L! g8 S. P* Q
Conjoint, 联合分析 ~; G8 h2 t( [
Consistency, 相合性
0 |/ |' B5 k; b1 s/ }1 Z: wConsistency check, 一致性检验
: q3 ?* U2 i: ^/ d/ Z+ CConsistent asymptotically normal estimate, 相合渐近正态估计
' p) y, v9 W: F$ V. iConsistent estimate, 相合估计
( H/ \% j, K! D$ \9 sConstrained nonlinear regression, 受约束非线性回归% J, U. F+ M: i3 h8 i' v& O
Constraint, 约束7 F3 H/ |8 G, a, U4 r0 y( K
Contaminated distribution, 污染分布2 {: x( p: L, k! D! G* v
Contaminated Gausssian, 污染高斯分布1 w; I- K+ k; m
Contaminated normal distribution, 污染正态分布
i$ S( R: m$ k. m6 E* vContamination, 污染
6 X7 N6 x1 M( ^6 DContamination model, 污染模型* i$ V0 K( P: I3 h/ m# H1 C
Contingency table, 列联表4 N1 {, E7 @0 v
Contour, 边界线
/ }- E$ G2 a. `8 a8 k4 c2 ZContribution rate, 贡献率- R+ M: n A9 P) Q- Q- d( z
Control, 对照
) I0 H' s' z+ }* g% n( _Controlled experiments, 对照实验
9 z6 C$ R t2 D0 v& l! ]1 SConventional depth, 常规深度
. B* z0 p1 x, [; Z" c2 q/ WConvolution, 卷积4 c {! I- E! f; R$ U
Corrected factor, 校正因子
; W& C( M0 Y/ s5 d8 wCorrected mean, 校正均值
* F8 ^5 C* o. ]) t0 bCorrection coefficient, 校正系数3 ~9 x8 n8 n2 f: r
Correctness, 正确性
& _0 L% g, _/ n% ~ j5 n0 V$ g, S0 v' jCorrelation coefficient, 相关系数
& u- Q( }: e. [- q1 ?$ I+ D; XCorrelation index, 相关指数' o# ], ~% w% Z4 n# t8 m
Correspondence, 对应7 a# i5 D+ c# Y7 b2 O
Counting, 计数
7 r" z, Y7 Q8 K/ t- nCounts, 计数/频数
+ R$ u; T5 L( _3 A- O* Y8 ~Covariance, 协方差1 K2 M$ V8 }0 @' Z7 @; ?4 m7 a
Covariant, 共变 - U1 j5 T4 R2 i
Cox Regression, Cox回归
, L( O" x6 y& K. u; m$ XCriteria for fitting, 拟合准则
; t4 K5 N& q* ]% B- p2 i* ECriteria of least squares, 最小二乘准则7 N2 j1 n9 b1 H; Z3 l
Critical ratio, 临界比
/ o+ b/ b9 V7 ^" p8 l3 \2 UCritical region, 拒绝域8 F& Y9 X6 @) X3 \7 G
Critical value, 临界值
+ }+ [+ K4 Y. u/ ~& Z- rCross-over design, 交叉设计
% U! Q" F5 y" gCross-section analysis, 横断面分析0 _; G4 W( _: t" K9 r
Cross-section survey, 横断面调查2 z' Q; j$ h$ z/ Y+ C5 w
Crosstabs , 交叉表 K) b: f9 _7 g1 b# @
Cross-tabulation table, 复合表" Q" a4 L: e- l% u/ u
Cube root, 立方根, m% ]* o4 a) _ b
Cumulative distribution function, 分布函数: N) S: O0 U: A$ P, I8 b0 C
Cumulative probability, 累计概率0 X5 N' _; R( g; x+ O# G8 R& x1 e+ R, O
Curvature, 曲率/弯曲
% M( E' z+ Q o. k( ACurvature, 曲率
* M- H I; P5 H; L# F0 J% YCurve fit , 曲线拟和 % M; z2 d- |/ A: c
Curve fitting, 曲线拟合
3 c# X l/ j4 j" FCurvilinear regression, 曲线回归
3 J; \4 e/ |# k' pCurvilinear relation, 曲线关系
3 \+ A0 [6 L7 Y* [0 q/ \$ e! \+ cCut-and-try method, 尝试法
& G# b8 q/ V+ M2 k+ ]Cycle, 周期7 b7 n; E7 X" p% M' H; ?" J
Cyclist, 周期性
4 M6 [5 S u, q/ dD test, D检验
4 S8 `/ V1 \+ r. X8 XData acquisition, 资料收集
) @! {5 S) A" \) z8 XData bank, 数据库
+ f: T! J+ h0 M: wData capacity, 数据容量( g9 g q" x9 s' l6 U# f+ J
Data deficiencies, 数据缺乏
6 H! z# }4 r, M' G: {; eData handling, 数据处理
+ _3 S% Y4 o2 Z( Q J. XData manipulation, 数据处理
2 |* C( \7 O( HData processing, 数据处理% t9 R) L o! Q
Data reduction, 数据缩减
& o/ m# i \& LData set, 数据集
) K: h) g/ N4 B. PData sources, 数据来源
4 m, X- d. r, {! j! P8 l) K0 S) \( }& nData transformation, 数据变换
5 A( `" U- U! C3 t; u ^6 L' d. zData validity, 数据有效性& C1 @# x) s" [1 P Y
Data-in, 数据输入
+ P+ g* o) l( q+ R$ MData-out, 数据输出
! \8 ] [% _7 G6 f4 e/ ZDead time, 停滞期
8 R4 t; J9 `" T* B* JDegree of freedom, 自由度
' X" N1 P) P5 n ?" NDegree of precision, 精密度+ s$ U7 Q9 V, p/ x
Degree of reliability, 可靠性程度( i" ~, x) T) u0 |; T7 ^
Degression, 递减
! D1 B# B% C8 s/ ~3 {9 q8 e% A' iDensity function, 密度函数
! Y8 H S+ l4 F! I/ D! FDensity of data points, 数据点的密度. W7 @ w- r \" R" R
Dependent variable, 应变量/依变量/因变量/ ~: J, T" ^* ~. [4 d8 Y7 b0 I2 y
Dependent variable, 因变量 N) K0 h; E: j2 G' A# l
Depth, 深度
; P& t! q" _5 A7 K( ?% r+ yDerivative matrix, 导数矩阵
! J( V4 C1 I# M' T1 O! [' IDerivative-free methods, 无导数方法" g0 Z! D9 {3 D9 l
Design, 设计5 E' j3 o6 e0 E" |; D) O
Determinacy, 确定性+ l$ g/ ^; X! V! v! A
Determinant, 行列式3 M( K, g& s% ]6 a2 ~6 o5 K; \
Determinant, 决定因素1 I% ~3 H+ m t; x$ b7 a/ Z
Deviation, 离差1 y: `4 b$ Y7 i$ L( A4 K- [1 }+ x# P
Deviation from average, 离均差- r4 h& f- S: _, D: q' `3 ^7 y
Diagnostic plot, 诊断图% o0 Z# \8 F/ i" N; {8 K4 I
Dichotomous variable, 二分变量# g1 X: p, Z1 Z6 d; z8 i5 h
Differential equation, 微分方程$ q: V i2 W" A& Q: a
Direct standardization, 直接标准化法$ b( ?& G2 T6 U1 D5 C
Discrete variable, 离散型变量
3 x" {$ I1 z1 o) [( M" oDISCRIMINANT, 判断 S8 @ i3 \' F
Discriminant analysis, 判别分析
. q0 n( L1 M7 v2 d. JDiscriminant coefficient, 判别系数2 x1 T) h. a! m; Y6 B3 n1 K
Discriminant function, 判别值9 m$ J$ m5 o% E. S& Z8 o! H
Dispersion, 散布/分散度
2 C! z; j+ I ?# T0 Z4 aDisproportional, 不成比例的' i% x; @7 ?% k( C
Disproportionate sub-class numbers, 不成比例次级组含量
" ]& g; I t s. M" u: x# |Distribution free, 分布无关性/免分布5 B6 s# w; B' n3 }
Distribution shape, 分布形状5 _& H9 v$ D5 t) p' T
Distribution-free method, 任意分布法& o( p* d8 ~4 E- [7 d
Distributive laws, 分配律 W. F- t1 E$ g. `9 B1 V
Disturbance, 随机扰动项3 v3 s: D, Y K* X% L# ?- d
Dose response curve, 剂量反应曲线
) ~- p4 m" w) L+ _. ^3 JDouble blind method, 双盲法8 C; f/ U3 @% g; V+ }
Double blind trial, 双盲试验
! V" g; o+ z1 h9 A0 Y: B7 BDouble exponential distribution, 双指数分布9 f- ]5 k( V8 t* C u$ q
Double logarithmic, 双对数. F* v4 ?( i# P3 @
Downward rank, 降秩* y3 J; {" {. C8 ]9 a, ^
Dual-space plot, 对偶空间图, J/ R+ _' q w2 Z! E1 o5 m0 O
DUD, 无导数方法
$ W: H$ G5 `. b4 d7 ^Duncan's new multiple range method, 新复极差法/Duncan新法( j! |/ A9 U/ V; ]! \
Effect, 实验效应
' \3 z6 U% J" Z5 j" ^Eigenvalue, 特征值- x1 Y T3 \( w, d" \ e
Eigenvector, 特征向量: F' K# w1 |# q
Ellipse, 椭圆- J9 J- p+ l* p1 l
Empirical distribution, 经验分布3 r- G, a( X5 n# p2 Q
Empirical probability, 经验概率单位1 \' p3 ~ D9 Q& O, a4 A
Enumeration data, 计数资料
7 N- M$ L4 Y- v$ i1 N- k& n. ]0 mEqual sun-class number, 相等次级组含量
5 ~ N2 y/ E& d2 kEqually likely, 等可能# A4 }% l! F$ i( Z& i8 m/ j
Equivariance, 同变性
w v, S# x# ]9 e2 x0 GError, 误差/错误
1 _$ O$ H+ s$ w4 {9 Q( dError of estimate, 估计误差
( Y7 y2 V0 W7 q$ c: HError type I, 第一类错误6 A6 I! Y% @3 C: U. t; @
Error type II, 第二类错误, K0 @/ {+ o* I: j8 N
Estimand, 被估量2 y- s+ m( n8 I1 O E) W
Estimated error mean squares, 估计误差均方0 {( M, j; Q+ s& u o# K: u
Estimated error sum of squares, 估计误差平方和
; m4 A3 O& ?/ ]% ?! h2 v$ M" I( _Euclidean distance, 欧式距离
0 l7 R1 w+ Y9 L1 a6 o$ A6 hEvent, 事件( S0 m. K/ u; V! d; O0 [
Event, 事件
5 N r4 x, U& d$ D: F8 Q) a4 yExceptional data point, 异常数据点
6 ^; }+ }0 {1 GExpectation plane, 期望平面% \$ t4 ^. U+ K3 u6 @: \8 r1 F% V
Expectation surface, 期望曲面8 D( P% S: w& N- q
Expected values, 期望值
- C T& a" v9 j( pExperiment, 实验- `. x- d2 I5 C6 J: L
Experimental sampling, 试验抽样! q. c) h/ q r. R" I/ ]7 }4 j
Experimental unit, 试验单位
2 U8 ^* H8 C5 _5 r) _Explanatory variable, 说明变量9 a# _! u" b( E' r* C( k
Exploratory data analysis, 探索性数据分析
5 x! b7 G r. @& B0 B9 ]7 IExplore Summarize, 探索-摘要
% Z+ ^( C+ `! c/ J5 fExponential curve, 指数曲线; u7 ^ `" V+ Q, L
Exponential growth, 指数式增长( n9 U* W8 ^. U
EXSMOOTH, 指数平滑方法
! o& h/ a/ j6 L) i8 i6 hExtended fit, 扩充拟合
" x( z' u( y4 r2 z8 v- Q+ OExtra parameter, 附加参数
; f' y1 e3 Q0 D6 y% ^" O! Z. }: }4 XExtrapolation, 外推法
0 t& H& U x4 IExtreme observation, 末端观测值
" F5 X' o# }7 t. {Extremes, 极端值/极值
) [/ E0 U: R- _1 n: F% u$ h) EF distribution, F分布& O% i* C( ^1 R3 B7 b( m' D- d/ L
F test, F检验* ]- m. \! w3 s
Factor, 因素/因子
& {- h& e2 k( U% Q9 G$ G; cFactor analysis, 因子分析
2 r- C _$ |% g* X I0 L9 C4 ?Factor Analysis, 因子分析
5 |% ]' L J7 I( c1 qFactor score, 因子得分 ) R. T5 q4 p( I. b* b5 t9 u2 `9 a
Factorial, 阶乘) [ y3 q* f% g8 V6 Z
Factorial design, 析因试验设计
) F+ _1 L) y' |3 s$ oFalse negative, 假阴性- f0 Q2 D5 X( r4 P7 \
False negative error, 假阴性错误% ^1 i( i2 E; w b+ i7 ?
Family of distributions, 分布族# [ u9 O5 _: m4 m/ y
Family of estimators, 估计量族
6 F/ z+ J5 h+ d: E5 ~, GFanning, 扇面# Q& [) T2 r1 h P: J, W! g
Fatality rate, 病死率; o! U# D0 x' k& L0 ]' T/ Z/ N% x
Field investigation, 现场调查
* R, U( y. U7 z2 M" R9 {2 ]2 TField survey, 现场调查
# d) Q* \) ^- E8 g- J, M, ]& \Finite population, 有限总体( u- s# _6 y( @( ?
Finite-sample, 有限样本
3 ?5 s) m* l3 zFirst derivative, 一阶导数" a" T5 I+ m$ C
First principal component, 第一主成分
& i! g' r# n/ {% qFirst quartile, 第一四分位数
' J0 b# {, ^, |' e S6 i \" f+ DFisher information, 费雪信息量
3 @2 z U$ x* Y5 S7 bFitted value, 拟合值: \. q% w* `. u8 s
Fitting a curve, 曲线拟合* B. ~% D# L: Y G# K- ]$ E
Fixed base, 定基. [& |$ H1 q* m5 h5 o/ [. f
Fluctuation, 随机起伏# I( `) n8 B! Q
Forecast, 预测- U$ {- J z% c$ Z" x
Four fold table, 四格表
9 ]( E( q$ Q) ]# n; PFourth, 四分点
* E* h, ^. q7 u5 `' F% o) J- }Fraction blow, 左侧比率3 d7 J/ e+ x" G0 r, j
Fractional error, 相对误差
. b: e! }6 u- O" F: W) NFrequency, 频率
9 |" b7 k4 J. {$ c* x; }Frequency polygon, 频数多边图! P0 j. d; R7 p i8 j
Frontier point, 界限点 x" V+ |/ `* D
Function relationship, 泛函关系
# m; u( c s2 V8 T, ]Gamma distribution, 伽玛分布 m5 Q8 d1 k8 g& s3 F
Gauss increment, 高斯增量- r! N8 _$ e) Q- U" I5 m+ ]
Gaussian distribution, 高斯分布/正态分布, r" j2 U2 f3 `8 n+ J/ v# P# M! R
Gauss-Newton increment, 高斯-牛顿增量9 _$ P( F7 V& z3 N6 N. L
General census, 全面普查' {+ t5 |, a. w8 d# C+ I9 l: }
GENLOG (Generalized liner models), 广义线性模型
+ ^1 D9 ~5 s8 @: yGeometric mean, 几何平均数
; f+ m* y/ f6 G2 B8 {Gini's mean difference, 基尼均差& A5 v8 w" x' ~9 \; z: a$ n9 d. h0 D
GLM (General liner models), 一般线性模型 ; N" Z9 J* A' f+ a
Goodness of fit, 拟和优度/配合度# X8 F/ S y; W8 \& B; d- g9 Q
Gradient of determinant, 行列式的梯度
7 Z, y! K: F( J% z6 NGraeco-Latin square, 希腊拉丁方! I) F1 T! ^0 U6 q/ `' T
Grand mean, 总均值
$ k4 p7 {: `& t& _3 y4 K' nGross errors, 重大错误
# S8 Z" _( a* t Q, dGross-error sensitivity, 大错敏感度
# K# W a6 ^2 @% Z6 a! N& CGroup averages, 分组平均
O3 I* K6 Y- q& | W1 QGrouped data, 分组资料' h: Z- r* Z+ g' c9 `0 S1 j7 Z
Guessed mean, 假定平均数- Z+ m) w" }' T7 u; m& y1 m
Half-life, 半衰期" L+ c! c# X5 n; M/ E6 A0 o
Hampel M-estimators, 汉佩尔M估计量+ T$ i1 B4 ~- S3 L2 N3 W
Happenstance, 偶然事件9 `. l$ a" E3 h2 N. f
Harmonic mean, 调和均数
" o! q6 ~8 `) I) X# THazard function, 风险均数! h+ z. o* E: k
Hazard rate, 风险率. X- n1 O+ C* L5 ?- l# q1 L
Heading, 标目
5 T4 [, k8 G! Z& P/ LHeavy-tailed distribution, 重尾分布
3 [& c' V4 C% EHessian array, 海森立体阵3 k" b' b2 n6 ^
Heterogeneity, 不同质
( N& @5 g, r+ T0 u) K8 VHeterogeneity of variance, 方差不齐 " g4 A3 y9 u; A) o0 y
Hierarchical classification, 组内分组
( G& ~/ ?: l3 \7 w& WHierarchical clustering method, 系统聚类法' ?4 R8 w+ p. S; ]8 _
High-leverage point, 高杠杆率点( e4 a* J ?, {6 P) N
HILOGLINEAR, 多维列联表的层次对数线性模型
% m- k( A9 v6 `" k) PHinge, 折叶点
/ F$ F5 n P9 E& THistogram, 直方图0 f# T5 ~8 v0 G( s7 h
Historical cohort study, 历史性队列研究
8 h1 N, m8 a" n) F; V& A, nHoles, 空洞6 k" }8 P+ U4 O z/ w+ ^
HOMALS, 多重响应分析2 G, u+ l2 u& a
Homogeneity of variance, 方差齐性- |: f! r0 h$ A6 i2 I8 ~
Homogeneity test, 齐性检验
0 }7 M6 S# I& D" e: o( HHuber M-estimators, 休伯M估计量" i6 K: L1 e- S7 r% O
Hyperbola, 双曲线6 l3 {6 s" K. T( s& s6 \
Hypothesis testing, 假设检验
- j- a0 b# H& I1 E4 {# Y/ K- s1 `Hypothetical universe, 假设总体
1 j$ E+ e: K+ O9 V/ TImpossible event, 不可能事件1 m4 \3 B3 \( Y5 O, X! U& k
Independence, 独立性
) e) f% T: h& @5 g4 MIndependent variable, 自变量) V2 G4 Q1 S7 M. P: h* D
Index, 指标/指数: d! t& @8 h9 ~; V J
Indirect standardization, 间接标准化法. i3 S1 G. v7 s* y% H+ ?3 m# [
Individual, 个体" _( g& x) ^, d, K p% N
Inference band, 推断带7 A- ^" N8 {7 `! [0 m b Y
Infinite population, 无限总体' w- j. i) B/ ~
Infinitely great, 无穷大
# H' Z, P4 ?' r& U. YInfinitely small, 无穷小
) `/ d# ^* {6 T/ bInfluence curve, 影响曲线# g3 K l( _, f' v; H% u1 Q
Information capacity, 信息容量$ E1 {. d* J7 x( k/ M7 A
Initial condition, 初始条件; G% J; r$ f9 O' X0 t
Initial estimate, 初始估计值
: B' I0 m9 f; |/ W0 W# Q, {- KInitial level, 最初水平6 ]3 o/ ? \. k7 P$ d& D/ |: h. C
Interaction, 交互作用7 e$ `. L' p/ |: l& _
Interaction terms, 交互作用项# B- e$ ]" K% O6 c& q, ]3 j! s
Intercept, 截距
! H% n3 `5 S ]* N9 n2 wInterpolation, 内插法& Y3 e% j1 x* K3 ]
Interquartile range, 四分位距
: q0 n. |0 T8 K( Q, \/ fInterval estimation, 区间估计) c' ~% _& e+ _. \
Intervals of equal probability, 等概率区间
; y: e) l6 `% ^- a5 Q, `9 nIntrinsic curvature, 固有曲率
: q: D; _# n0 i" u# c, KInvariance, 不变性+ R& k& d; s" @' I
Inverse matrix, 逆矩阵
* m2 m* F( b7 Z; EInverse probability, 逆概率6 }/ m* X: Y* Q
Inverse sine transformation, 反正弦变换) K( c3 S; F3 P0 j0 j9 j; Z, x
Iteration, 迭代 6 U+ j7 o2 z6 S% B h& A1 ?4 ~
Jacobian determinant, 雅可比行列式" _! x* r- Z6 n4 Z
Joint distribution function, 分布函数
4 Z4 D, w7 H! B; ?2 ?& {" wJoint probability, 联合概率2 a4 l% l. c. S; M4 ^7 n7 w2 g- c
Joint probability distribution, 联合概率分布- ]1 \# @ {8 f1 L0 ?
K means method, 逐步聚类法
6 t6 f5 d4 g$ q0 FKaplan-Meier, 评估事件的时间长度
3 _, L5 C( E+ x6 LKaplan-Merier chart, Kaplan-Merier图
# g0 |) w/ C1 p# ~: S; M! iKendall's rank correlation, Kendall等级相关! E* k B7 W- f, m
Kinetic, 动力学
' R$ w+ f& [9 J+ m9 E/ X/ `1 }Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验$ L5 \/ U" @) d9 z# S" ?. G+ a; X8 b
Kruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
( K5 y! L: c2 {. Q2 w: O3 c, gKurtosis, 峰度
. [3 y# n) x: r1 o6 c0 u: ^- |Lack of fit, 失拟! J- c, d9 {& p+ x4 _
Ladder of powers, 幂阶梯
$ o8 t1 i) Z# g) ~3 L, h5 d1 P- ULag, 滞后
4 D$ T8 T. x/ c8 @5 C2 BLarge sample, 大样本
& B' U2 R/ j' M4 M! uLarge sample test, 大样本检验
. D' \8 N2 t8 ?4 ~* v# O5 uLatin square, 拉丁方+ F1 Q6 @& m D) h: _7 `, b
Latin square design, 拉丁方设计
5 L- w; w$ o1 w8 g, NLeakage, 泄漏
0 G' U4 m9 F0 G. m, QLeast favorable configuration, 最不利构形
# ]3 m8 z$ o& T! {0 u) j3 o8 S3 qLeast favorable distribution, 最不利分布
( u0 k9 x9 J3 {7 j& HLeast significant difference, 最小显著差法" X5 z2 E' @9 z/ A; V2 t
Least square method, 最小二乘法
" o( f% I+ V& W% BLeast-absolute-residuals estimates, 最小绝对残差估计
! }& n* {; } E3 o- }+ c/ J4 mLeast-absolute-residuals fit, 最小绝对残差拟合+ L- Z7 e; m$ m! C( W
Least-absolute-residuals line, 最小绝对残差线
5 C. }: F8 X& b( N1 u5 g, \( _1 k4 {' WLegend, 图例$ s, d( E% y* [% B0 y
L-estimator, L估计量
9 |# V# ^/ M! G2 P% g3 ^8 _& }L-estimator of location, 位置L估计量8 d, K) f$ N c" p9 T
L-estimator of scale, 尺度L估计量( ~7 G; B% M+ U
Level, 水平/ L6 u B) l* o: ]0 {- v8 H+ ^
Life expectance, 预期期望寿命
5 N0 U q% {! a7 NLife table, 寿命表( j0 o, @2 X) n3 Y" O
Life table method, 生命表法
+ C* `# P2 H4 o' |' `$ aLight-tailed distribution, 轻尾分布
! o( R% H8 D- s" k4 @Likelihood function, 似然函数8 ?; C0 J% E2 m- {: l
Likelihood ratio, 似然比
! g: P3 C3 @& p- U, J: Kline graph, 线图5 U6 x! @! z8 r9 ]8 }" B
Linear correlation, 直线相关* ~$ i. ?; T5 p o$ ~
Linear equation, 线性方程 E/ Q9 Z8 \" a0 B" ?3 O; `- P0 u
Linear programming, 线性规划
5 N, }1 R) M. j' NLinear regression, 直线回归9 s d" }. d8 v* S- ~
Linear Regression, 线性回归: K9 k4 p& J3 [
Linear trend, 线性趋势 p% c- |( T; F+ w
Loading, 载荷
- b0 E' I# |4 i, E; b2 ~% l: iLocation and scale equivariance, 位置尺度同变性
) U) @' R( S0 Z8 ALocation equivariance, 位置同变性
; n; d) W2 q- y, r' D% @Location invariance, 位置不变性! m! V# y$ y2 W/ m
Location scale family, 位置尺度族, Q r. N5 L y' B) F# x
Log rank test, 时序检验 c5 K8 C3 I' K: u! H, p }" T+ ^' d, M
Logarithmic curve, 对数曲线
' }6 X: E+ u* t/ A8 OLogarithmic normal distribution, 对数正态分布) y. b3 T, X! N3 ]" _
Logarithmic scale, 对数尺度3 `7 H& Y5 b* X7 N/ @7 e0 W
Logarithmic transformation, 对数变换
8 }% l, Z9 F% |4 B: \* F" iLogic check, 逻辑检查
. J; u/ t, }% P$ CLogistic distribution, 逻辑斯特分布: C: F) F$ u& [. ?$ y
Logit transformation, Logit转换
1 h' }: H0 d( X, R: W$ z: rLOGLINEAR, 多维列联表通用模型
* z. i4 X- a1 C# v( ~Lognormal distribution, 对数正态分布
$ Q6 v/ u+ ^( h- R" b( mLost function, 损失函数
9 S1 y8 x; [9 l4 cLow correlation, 低度相关2 |2 ^. ^, t. m5 C% q4 b
Lower limit, 下限0 d. j( B% p2 T8 d3 G; u) Z9 i
Lowest-attained variance, 最小可达方差$ Z$ m* ~/ c$ w- ?. m0 W$ t
LSD, 最小显著差法的简称4 v. S9 g) I) w" I" B, s
Lurking variable, 潜在变量3 _- O# e) {; V. { X9 ?
Main effect, 主效应
2 v- w! O' W2 f8 x1 c: H- PMajor heading, 主辞标目
$ H9 M2 }1 l" p/ ]Marginal density function, 边缘密度函数
3 p0 h) h2 v& Z [' X9 j- @* T2 UMarginal probability, 边缘概率
5 F6 N8 i7 B" ^& l& P1 zMarginal probability distribution, 边缘概率分布
6 L# l" m5 P8 t& OMatched data, 配对资料) w$ B5 T0 ~3 k$ Y9 e
Matched distribution, 匹配过分布 V5 s& M+ |' o* R# m% h+ v1 O
Matching of distribution, 分布的匹配' L) ^# Q+ y7 P' j
Matching of transformation, 变换的匹配) ?! K" C( C" a( `8 D$ z7 @
Mathematical expectation, 数学期望: ~' |! n$ Z3 u
Mathematical model, 数学模型
: O) O! `4 {4 \) T( d" oMaximum L-estimator, 极大极小L 估计量9 d. K) h7 C: ^ p
Maximum likelihood method, 最大似然法3 r7 g( a" T( K' A+ M8 ^. C) Z$ }
Mean, 均数
' t# |; _+ r' PMean squares between groups, 组间均方* q# O( o6 U. ~1 z' c! s0 L
Mean squares within group, 组内均方# D0 h) `, N& ^( w" z3 j
Means (Compare means), 均值-均值比较" t5 W! b$ o* J) g2 v
Median, 中位数
9 C$ W) T# |; WMedian effective dose, 半数效量
$ I/ W: V7 r/ b& HMedian lethal dose, 半数致死量
; e, X1 o* @; W: T m' r% uMedian polish, 中位数平滑
- G" X, @5 v8 O( f4 kMedian test, 中位数检验, E% G7 W7 R/ w- K0 w" s
Minimal sufficient statistic, 最小充分统计量4 _! Y4 t9 Z8 L$ [8 Y
Minimum distance estimation, 最小距离估计; V+ {7 h$ q: l
Minimum effective dose, 最小有效量( S& n7 D- L' S3 J( ?+ U' K
Minimum lethal dose, 最小致死量, b! s' q7 E' v
Minimum variance estimator, 最小方差估计量
( s; g) L2 t6 O5 ?MINITAB, 统计软件包8 D1 ^, r. \3 B* j
Minor heading, 宾词标目
) s5 R$ W( G0 i1 v2 nMissing data, 缺失值
+ @, {+ A; ?) uModel specification, 模型的确定
- x" f1 T/ H! D9 OModeling Statistics , 模型统计
9 u0 P! t0 F: g3 bModels for outliers, 离群值模型7 T _7 K8 e& T3 s) Y
Modifying the model, 模型的修正
4 G* b2 p$ d3 u e% n' Q8 R+ y Y# dModulus of continuity, 连续性模9 r/ Y% n# u C+ Z5 Q1 F
Morbidity, 发病率
5 S7 E. d* c) oMost favorable configuration, 最有利构形- ]8 A. H$ {& X
Multidimensional Scaling (ASCAL), 多维尺度/多维标度
) \# I3 k) S' {; A& ~1 C4 }Multinomial Logistic Regression , 多项逻辑斯蒂回归
# N6 [$ V9 F4 G9 E. u cMultiple comparison, 多重比较1 I H, z1 l, F# c/ I0 S/ F
Multiple correlation , 复相关& G& L' h" w3 _ S( G% f7 h% }
Multiple covariance, 多元协方差1 Q, [. q" n2 v* c+ l3 y+ u! O( ?
Multiple linear regression, 多元线性回归
* I, i+ L- B& z! }5 A# `% HMultiple response , 多重选项
$ p( D5 L6 Y4 g8 O0 Y3 i. o& XMultiple solutions, 多解8 E$ y' j2 S x# j) J. z
Multiplication theorem, 乘法定理
7 e( t3 L7 t ~7 n) F4 gMultiresponse, 多元响应
7 \7 o2 {; V: A! zMulti-stage sampling, 多阶段抽样
+ D8 }. d/ i+ I0 J8 gMultivariate T distribution, 多元T分布* U; C, X1 F: P+ |; B) Y# n
Mutual exclusive, 互不相容1 Z0 d% @; n1 f( m
Mutual independence, 互相独立
r: X' T% N; A! o, L0 W* G# DNatural boundary, 自然边界
2 q7 m/ k; {/ DNatural dead, 自然死亡. y8 W( P4 l0 @# P/ P
Natural zero, 自然零
# d- I6 y! J+ q: ?4 MNegative correlation, 负相关
9 z+ V) a1 Q0 D2 E7 l3 FNegative linear correlation, 负线性相关
! i6 f$ @" s1 x) |+ K, B9 x" eNegatively skewed, 负偏. b, p, X8 H1 U& `
Newman-Keuls method, q检验
5 O1 P/ j. g; E/ DNK method, q检验6 u, d3 j! S) Z, c, X- C
No statistical significance, 无统计意义
" E: J+ |2 [( r2 h% }7 aNominal variable, 名义变量
+ k9 u+ |' O) Q$ kNonconstancy of variability, 变异的非定常性
& X% {9 k: g' A- S6 z% ]Nonlinear regression, 非线性相关
% K7 V8 B7 S" V" LNonparametric statistics, 非参数统计! e: h5 [* z' a P0 Z
Nonparametric test, 非参数检验, ^7 M1 q2 i5 C, \' `: k7 y
Nonparametric tests, 非参数检验4 Y+ \; ~. k: p9 r+ p
Normal deviate, 正态离差
# t+ d8 h( Q/ X' L: m* FNormal distribution, 正态分布
/ v" d. K T" z- {, TNormal equation, 正规方程组
% k2 ~" @' t/ u* \; g9 F$ o" uNormal ranges, 正常范围; L- r% O0 N, p7 j
Normal value, 正常值
; I0 w' r$ N3 y; W& Y. XNuisance parameter, 多余参数/讨厌参数( B+ G3 K$ g* U* u4 n
Null hypothesis, 无效假设 3 G- C& c, H8 s7 T& C+ u
Numerical variable, 数值变量: e" E7 X; r8 v1 I5 |
Objective function, 目标函数- _ ]/ O$ t; z: ?6 j+ j# E
Observation unit, 观察单位- y! k1 I, c" ?1 q- Z. Y2 B
Observed value, 观察值; T9 h9 J f1 B' _* V4 M5 `! ?( }
One sided test, 单侧检验3 |$ v6 {0 B6 Y- ?" ?
One-way analysis of variance, 单因素方差分析
/ q; p2 n* U5 ]2 w8 q5 L9 tOneway ANOVA , 单因素方差分析: b: z) c) c7 Z" p2 e- a( s1 v8 q
Open sequential trial, 开放型序贯设计5 v% k) t B+ x, \
Optrim, 优切尾
! |( h3 i+ x- E" y4 IOptrim efficiency, 优切尾效率4 c- U0 i- B! o7 H* s" W
Order statistics, 顺序统计量2 }( X1 V( S0 p; x0 s1 U
Ordered categories, 有序分类2 l, p2 v" _' I% y7 w4 F
Ordinal logistic regression , 序数逻辑斯蒂回归
0 |2 O+ {7 D$ ~" q. }! W6 KOrdinal variable, 有序变量
/ ]8 y7 s: k l! i, O- HOrthogonal basis, 正交基
, L) o+ |& G- ]7 \Orthogonal design, 正交试验设计9 }8 u( U4 _" v) a1 G. H
Orthogonality conditions, 正交条件4 E3 \3 Q3 G' x; l
ORTHOPLAN, 正交设计
- G& n! g0 F+ nOutlier cutoffs, 离群值截断点
' F2 M& o/ w4 H# aOutliers, 极端值
: P3 @( o: U8 }" e7 `# TOVERALS , 多组变量的非线性正规相关
1 L# j9 e3 A' t, N: k/ JOvershoot, 迭代过度: j) G9 w' C2 p
Paired design, 配对设计- E. [/ p; Y8 X) `8 \8 q4 N8 _
Paired sample, 配对样本
0 H9 k8 |9 l- _Pairwise slopes, 成对斜率' [1 L* m+ J& A( A4 H; z
Parabola, 抛物线
2 L% j3 e/ n7 d/ S6 c1 M9 JParallel tests, 平行试验
7 s: F4 a$ R4 r0 `# W1 y& {Parameter, 参数( E) P, `4 y; I" X* n3 n
Parametric statistics, 参数统计( v) H. T& U8 @3 u
Parametric test, 参数检验
9 p* K' |9 m, H- q, A. yPartial correlation, 偏相关+ v f6 f: b: ^9 O: _
Partial regression, 偏回归
: K3 J/ G8 e' [0 a6 wPartial sorting, 偏排序. ^. n* t! f( m5 C$ h* I
Partials residuals, 偏残差( q" C) _ [$ ~0 k- D
Pattern, 模式
. Q6 C* y h3 Q4 D5 K0 _! j# P, VPearson curves, 皮尔逊曲线3 c6 H' S& S, x; \; C
Peeling, 退层
$ C# M8 m9 T: S4 ]Percent bar graph, 百分条形图
! V- {- a& q/ X' v! S4 d0 HPercentage, 百分比
( r- b8 _" s! G3 f3 oPercentile, 百分位数. n, P1 c0 M" u4 l" {* |
Percentile curves, 百分位曲线
$ u% A0 t# v$ j7 M0 nPeriodicity, 周期性; R/ y- N; d% ~
Permutation, 排列
4 x* X- c. U p8 S- ^P-estimator, P估计量5 L9 e" A; }( b
Pie graph, 饼图; q9 h. M1 ~5 [% S$ n
Pitman estimator, 皮特曼估计量
' Z7 c- r6 w/ C7 r4 @( XPivot, 枢轴量% n( b2 M; T9 {+ {
Planar, 平坦
0 j. Z4 T; d6 L( EPlanar assumption, 平面的假设8 o$ |: n0 f" a- o/ |6 k# u3 B1 }
PLANCARDS, 生成试验的计划卡
5 q, p' S" z( k- C& WPoint estimation, 点估计+ m) n5 n/ n7 l+ V' {( C+ n
Poisson distribution, 泊松分布
5 _' l$ I4 h! x+ F" Y. APolishing, 平滑, h/ B. |- ^2 Y8 A6 q0 _% r3 M
Polled standard deviation, 合并标准差
$ ^- L7 E% Q4 r3 pPolled variance, 合并方差
. B) B: f2 a! r$ e, O: r9 GPolygon, 多边图
$ g% {7 H- y' I4 j/ y+ h a" mPolynomial, 多项式# L1 e" E$ d0 t1 o+ j9 F U" d
Polynomial curve, 多项式曲线( k' l( h1 B9 I
Population, 总体
l3 e3 {" @/ xPopulation attributable risk, 人群归因危险度# G) U2 {! f# @9 g. L. G# ]) a
Positive correlation, 正相关& W4 p$ Y' h; W
Positively skewed, 正偏/ _% Z+ K6 |' a1 G0 \
Posterior distribution, 后验分布
* Q& i; l8 F y: T7 K1 _& rPower of a test, 检验效能- T, g: o" H- z5 e+ n
Precision, 精密度& @$ H+ d$ Q( g7 i: d0 `) _
Predicted value, 预测值1 N4 M$ l5 z2 t. Y
Preliminary analysis, 预备性分析( a* J" u+ v1 D0 r) B. d& R- k
Principal component analysis, 主成分分析( m8 l" M7 |6 Y% V/ u2 z' w
Prior distribution, 先验分布) _/ y* z/ T/ m0 K) r. A4 x9 z+ r
Prior probability, 先验概率
) ?& l: }: O& t! c0 [8 rProbabilistic model, 概率模型2 a) {# n# ^" _- Q' q5 D
probability, 概率
$ i J7 p& L$ q5 i/ r/ FProbability density, 概率密度
( R3 g% u; m. y6 VProduct moment, 乘积矩/协方差
; p. h+ z1 J& i" nProfile trace, 截面迹图
' m% P$ c% U& Z0 W( ~; U9 IProportion, 比/构成比* b8 N& k8 v' l, C. i% w6 R. v
Proportion allocation in stratified random sampling, 按比例分层随机抽样8 A b7 D" ?! @5 y. [9 g$ n
Proportionate, 成比例) ~( V# C+ [; o) h5 x' G
Proportionate sub-class numbers, 成比例次级组含量3 f6 o) H- n- T( d3 K+ [
Prospective study, 前瞻性调查 ?% u5 t: K; E9 I' n) ^) n: A
Proximities, 亲近性 & z! `8 a5 O1 U* t7 C7 w6 A1 V
Pseudo F test, 近似F检验- z$ A5 |/ u" b
Pseudo model, 近似模型: B' N4 I, l0 T
Pseudosigma, 伪标准差
0 Y" i: d" f. k- c* `Purposive sampling, 有目的抽样
7 G8 N2 v: J s$ T1 U* H. A1 d; qQR decomposition, QR分解4 @: H* C0 J* X! B+ j( u# x
Quadratic approximation, 二次近似
2 l7 }. _4 G# P2 j' g7 ~) i* cQualitative classification, 属性分类
4 o+ G8 z8 b* |Qualitative method, 定性方法" O3 l. Z0 t5 e5 x
Quantile-quantile plot, 分位数-分位数图/Q-Q图2 y2 Q& @' s- m5 S3 c
Quantitative analysis, 定量分析
9 _- {8 o# Y: N' GQuartile, 四分位数3 F; P0 ^9 P' ~2 u
Quick Cluster, 快速聚类/ I L1 T& J: k/ k* W+ \6 a
Radix sort, 基数排序. n+ O$ F# T: F7 v
Random allocation, 随机化分组
5 P5 U% B& Q- w1 A0 A2 JRandom blocks design, 随机区组设计
: G% O \0 E. t7 \Random event, 随机事件; w3 A) W8 s, R* Z
Randomization, 随机化2 s* V9 j) \6 v
Range, 极差/全距. l+ t* Z1 C! l' E) L
Rank correlation, 等级相关
: ?1 D# Q1 ^2 j/ u0 d4 @9 ~" ~Rank sum test, 秩和检验! e+ i- R& u! v8 ^$ r- X
Rank test, 秩检验
4 Z. |# d- K2 c% YRanked data, 等级资料
9 G4 t5 @/ P$ r2 }- m/ G ]# X DRate, 比率
; {: ^& X' R+ l8 {- r3 @Ratio, 比例
. D& K8 Q: g8 [: s$ d6 X( n" ARaw data, 原始资料# U) i. \: M k. y0 ?& W! m/ v
Raw residual, 原始残差
. a4 m9 R/ ? K+ C. pRayleigh's test, 雷氏检验
, O* W! z' D- w' K/ i' d6 w" dRayleigh's Z, 雷氏Z值 " r! n( r' G7 L
Reciprocal, 倒数
' e3 `( p6 W W" `Reciprocal transformation, 倒数变换
6 J w& _7 T, r4 ~- v; ~Recording, 记录- e# z& X- e1 [, L
Redescending estimators, 回降估计量
* V& |: x& y9 j! {8 j2 l% ]Reducing dimensions, 降维
2 v# f% @8 ?' t% R3 LRe-expression, 重新表达2 T) h: [8 q: f2 s; V+ f
Reference set, 标准组0 G0 P4 Q; f. m$ }# Q, X$ g$ O
Region of acceptance, 接受域
/ q7 C" P1 ~( K# ~3 {Regression coefficient, 回归系数; O0 @6 p3 ]& x/ ]
Regression sum of square, 回归平方和6 }$ U+ p7 V9 o% r4 x- n+ y0 Z
Rejection point, 拒绝点
" b# {8 W( I2 F6 @8 kRelative dispersion, 相对离散度
5 e/ b" l6 z1 s' g$ h% ZRelative number, 相对数/ q' j& h: P6 m1 v6 W. c% ?
Reliability, 可靠性
5 ]( a0 w5 i) p8 G& S+ GReparametrization, 重新设置参数* p0 ]. I- F5 l. ~0 p
Replication, 重复
% e$ L- V; K X- t$ `$ hReport Summaries, 报告摘要
0 j" D$ ^8 g3 [$ PResidual sum of square, 剩余平方和: W% x: ^5 u O( S
Resistance, 耐抗性0 k! w6 `# ~/ y7 X! ]6 C0 e
Resistant line, 耐抗线
6 E. ~8 F* L* A) sResistant technique, 耐抗技术$ n4 o+ V9 T: e1 M! _2 w, v/ T
R-estimator of location, 位置R估计量
% V0 l) C$ L# n8 nR-estimator of scale, 尺度R估计量
) ]5 O0 O* a" F8 X( d0 _: D( uRetrospective study, 回顾性调查+ G/ M0 q& o+ B2 H5 i; N- u
Ridge trace, 岭迹
4 r. J; T' b4 H: r! d( L) |Ridit analysis, Ridit分析
; ^/ K6 s; f1 U" n; uRotation, 旋转
- `* E& X. H- j1 |9 s9 oRounding, 舍入0 ]/ ^/ k$ Q0 {# K, G* {7 \' v' C
Row, 行; @6 A' ]/ v- K) _& t% e' D: m
Row effects, 行效应
3 {3 F; H a q: k( z( r: T* t9 v4 aRow factor, 行因素
; f, q0 P3 l, I$ _/ g# TRXC table, RXC表
+ \* K1 |7 U/ O5 p, F$ ~' TSample, 样本
7 ?- V: c: ?: b+ e' U; {$ ]0 s; TSample regression coefficient, 样本回归系数# w0 V2 l- I, E, r$ H% w6 J
Sample size, 样本量
6 N& w( U9 O9 v$ _, M5 v9 zSample standard deviation, 样本标准差
5 L C: h/ [9 r, RSampling error, 抽样误差! i) p8 f8 W/ Z% H; M4 ?
SAS(Statistical analysis system ), SAS统计软件包; r8 A! F! X/ \
Scale, 尺度/量表
. [4 Y) |# [ PScatter diagram, 散点图3 {% s% C# ~( a/ p
Schematic plot, 示意图/简图% S/ L0 m; m5 s: z- G
Score test, 计分检验: \5 J8 y0 Y. K
Screening, 筛检' q! f, f% B; J) s- h, R
SEASON, 季节分析
) s/ `2 v8 S7 V. [- `+ x% d& H7 XSecond derivative, 二阶导数
& k, j+ C3 C$ F- V- c0 L, N. DSecond principal component, 第二主成分
j0 c# D5 Q c+ P! wSEM (Structural equation modeling), 结构化方程模型
& w, [( P% v$ ySemi-logarithmic graph, 半对数图
7 `& H' K% V' P H/ Q2 U1 O/ hSemi-logarithmic paper, 半对数格纸! d5 b; y2 x; V5 p7 S
Sensitivity curve, 敏感度曲线
. C7 d" @9 T. \6 x3 XSequential analysis, 贯序分析
& l- D4 `! S4 ]$ R6 vSequential data set, 顺序数据集
8 @$ o9 P" j# E7 l4 \" vSequential design, 贯序设计
+ \' q# e# H5 @8 WSequential method, 贯序法- n4 e2 e, _- v# m& Q
Sequential test, 贯序检验法- ~ Q6 I# [- j1 ]8 |7 X% n
Serial tests, 系列试验
x/ p6 O- e6 s& G$ UShort-cut method, 简捷法
6 i0 E) T7 _+ nSigmoid curve, S形曲线; ?7 }2 L" N! b( N, x& [8 ]
Sign function, 正负号函数$ V* Z& u$ c" c2 g, q
Sign test, 符号检验* _# o7 G; g* e+ }2 y. K
Signed rank, 符号秩
% c7 G* E# G" E/ B& ySignificance test, 显著性检验2 n0 z% J# L; h* u. S$ E
Significant figure, 有效数字0 k# j1 N( p2 c) x5 P. b# W
Simple cluster sampling, 简单整群抽样" r! Y% D+ V6 N" B
Simple correlation, 简单相关8 F, t/ B/ u2 E' U3 X
Simple random sampling, 简单随机抽样
8 F+ X4 |' I) q& b+ BSimple regression, 简单回归
; @- M/ b7 i( O6 [; C, J) msimple table, 简单表
: m) F& y* k2 R: ~+ l$ @: uSine estimator, 正弦估计量
! I) H' g. m3 A1 O+ nSingle-valued estimate, 单值估计
& J* Y) W; g, E3 V6 | {' {+ }, eSingular matrix, 奇异矩阵# q, h; l) t% |' k x# I
Skewed distribution, 偏斜分布
7 _- x( K! m, pSkewness, 偏度: X" v# z( z T0 d' l% s
Slash distribution, 斜线分布& W; M3 U, f7 {9 y
Slope, 斜率$ Z& D$ n7 x1 Q! [- ?
Smirnov test, 斯米尔诺夫检验
4 b F- u9 E) Z: W5 S' u( O3 CSource of variation, 变异来源$ W* U9 F4 x% b! u
Spearman rank correlation, 斯皮尔曼等级相关: B; h, i( v7 @- c1 i% R' x
Specific factor, 特殊因子6 P5 O! S4 k/ K
Specific factor variance, 特殊因子方差
$ x5 ]! Q! C" VSpectra , 频谱2 V2 q( Q5 F, t% F
Spherical distribution, 球型正态分布
" }$ @' N( U+ w9 H# pSpread, 展布2 T3 B) L! Z" W
SPSS(Statistical package for the social science), SPSS统计软件包/ {; K1 I# M! U' `
Spurious correlation, 假性相关( ~9 W' t j* E q% {9 k: s! [
Square root transformation, 平方根变换. H- j% u0 T1 e% W* t2 u
Stabilizing variance, 稳定方差% }7 U% A& O7 @: H; p2 [4 A1 D# e
Standard deviation, 标准差* D1 e6 n0 J+ a/ `3 N O0 D# U
Standard error, 标准误! M! S" a! k: H
Standard error of difference, 差别的标准误
8 k: O9 D+ G7 w5 d* T7 b% K! cStandard error of estimate, 标准估计误差
* ~8 o9 v3 n: ?' k' r# Q- x, [$ LStandard error of rate, 率的标准误
8 i1 P2 z# j, y JStandard normal distribution, 标准正态分布
- Z1 l+ x3 Q* _Standardization, 标准化9 n) f ~* x" n) b3 @
Starting value, 起始值* h; Z7 o. W0 ^! k% C* m( z
Statistic, 统计量
1 c+ w! ^( q' \$ oStatistical control, 统计控制* V8 n- @& U* E3 G7 C$ x
Statistical graph, 统计图5 _7 n) P3 S( `! P* o: ]. U
Statistical inference, 统计推断
. C: V7 h* h* BStatistical table, 统计表- [$ u: [3 x7 n/ i; F2 E( D
Steepest descent, 最速下降法( c% @% {$ |. i# O3 Q
Stem and leaf display, 茎叶图" p% H; s' O9 ~& e/ _* V6 p
Step factor, 步长因子+ I6 o" g5 `( t6 k/ p' M% Y
Stepwise regression, 逐步回归
6 e# E6 v$ C# v& N0 MStorage, 存
5 }4 |2 W0 u) K" O% m' oStrata, 层(复数)
" O; b; t# o0 @Stratified sampling, 分层抽样4 L# i: x) E1 ^$ `( N
Stratified sampling, 分层抽样
& D. v; i1 b5 c7 A" g UStrength, 强度9 s" p5 |" d1 j0 |/ Z# z
Stringency, 严密性
0 T5 E( \( e" q/ sStructural relationship, 结构关系7 V+ ?. S! [& F$ l
Studentized residual, 学生化残差/t化残差' f/ H7 f" n4 O, S1 h
Sub-class numbers, 次级组含量
$ L) r, \. ?. Y7 }1 K) PSubdividing, 分割
' _, z* t1 [7 w4 q' |Sufficient statistic, 充分统计量/ {2 F; o" `! s
Sum of products, 积和
' B6 w8 h' I; iSum of squares, 离差平方和
_6 p; a: K) tSum of squares about regression, 回归平方和
5 ^0 i6 E1 Z$ f$ { C0 ?- n1 kSum of squares between groups, 组间平方和
* O$ H! u7 U* ISum of squares of partial regression, 偏回归平方和& {9 G- S, @ q! T% Z
Sure event, 必然事件0 F4 a9 ^% I- R6 E& c5 N/ M& ~
Survey, 调查
# W2 d$ Q2 T' [: d2 ESurvival, 生存分析; e. y. J: ^: r, F' k# s
Survival rate, 生存率
! U, g" N8 Z+ T3 aSuspended root gram, 悬吊根图5 [1 |' S& v& @/ ~; U% a
Symmetry, 对称
$ {) n; b5 \8 E+ d4 ?8 \6 i/ gSystematic error, 系统误差- f+ Q- w1 `, n7 s
Systematic sampling, 系统抽样: I: S H. W5 O. K3 K6 i5 J& ~
Tags, 标签- r, P. C1 ^5 A9 l8 ?% @4 h
Tail area, 尾部面积* P) V5 k( T- o$ R' E0 O* H( k& k# U
Tail length, 尾长
* i4 Y8 Q" A$ m8 z. tTail weight, 尾重
. ?% I/ X! C: m. o9 R' v" w7 ?8 QTangent line, 切线( J+ p2 A* J0 v" [1 |
Target distribution, 目标分布/ a: b; z7 H- z( k2 ^/ H& A
Taylor series, 泰勒级数4 ?: @) H7 {" m! P( s- O' {
Tendency of dispersion, 离散趋势, q5 K% e) Y& D( ~& p: k
Testing of hypotheses, 假设检验! i$ E8 ~0 }5 f! j7 `- K s
Theoretical frequency, 理论频数! i% F- \1 i/ e9 D! w+ s& `+ @( Y
Time series, 时间序列
) Y) q! [, b. sTolerance interval, 容忍区间4 X( ]$ t- ~7 W
Tolerance lower limit, 容忍下限
' j8 w8 E$ A8 ~5 Y* FTolerance upper limit, 容忍上限
8 n* Q5 B) V- u& {) {Torsion, 扰率
9 S4 a& I( y$ A0 M, k1 {Total sum of square, 总平方和
& a5 f: H m& k- u. l. vTotal variation, 总变异3 r- ?3 h. b2 y
Transformation, 转换
3 l% l6 G2 t$ W/ y) T& d$ iTreatment, 处理
. X: \3 `- B1 j ~. e: J* }# B" nTrend, 趋势
4 @9 u0 V8 u4 w. L, X& B( `Trend of percentage, 百分比趋势
; }7 `% Q \% \& t( ATrial, 试验
8 j5 M+ ]. M' K1 NTrial and error method, 试错法1 f9 m, x/ I( [' h3 Q. v% Y
Tuning constant, 细调常数, R6 R! {/ c, T+ {
Two sided test, 双向检验* h" |- }) u1 z
Two-stage least squares, 二阶最小平方& N- K) v7 T% D' f& g+ Z0 F
Two-stage sampling, 二阶段抽样
7 _5 L8 y S8 |. OTwo-tailed test, 双侧检验/ b: N1 F, s. O( ^# w! E+ Z
Two-way analysis of variance, 双因素方差分析1 t& U. p7 S/ g, ?& g; L
Two-way table, 双向表 ]: A6 o' U+ X' N) p* ^ ~
Type I error, 一类错误/α错误
G7 A' y* ]+ W: f b* AType II error, 二类错误/β错误1 n) K7 |; e7 v/ ?
UMVU, 方差一致最小无偏估计简称7 r* d: {; x6 u4 H% S
Unbiased estimate, 无偏估计! j, ]' C" g4 o* P7 H
Unconstrained nonlinear regression , 无约束非线性回归
y- `2 f$ [* p0 m% Y1 PUnequal subclass number, 不等次级组含量+ m3 t5 u5 ]$ \) e0 D' t
Ungrouped data, 不分组资料
# i5 G% J2 Q/ g2 B4 UUniform coordinate, 均匀坐标
+ Y3 n4 [+ t3 h+ i; |Uniform distribution, 均匀分布
4 J( P$ D6 N' jUniformly minimum variance unbiased estimate, 方差一致最小无偏估计
W! T9 f1 P0 T+ B& c5 \Unit, 单元8 d1 f0 J% b# M" S4 g- f
Unordered categories, 无序分类( i B/ c. T" F
Upper limit, 上限) e7 r2 Y" f/ d. r: @" _9 h
Upward rank, 升秩$ v a- f! c/ C" D( G
Vague concept, 模糊概念
- |8 x' z* h/ A* `) i, yValidity, 有效性
' ` ?# H4 U# G T4 nVARCOMP (Variance component estimation), 方差元素估计6 G$ R4 u1 F8 v) V( {4 u1 p( A
Variability, 变异性
- x+ j! Q7 e- E% {1 bVariable, 变量
# N/ i( T2 V3 R9 G7 Z& ?Variance, 方差
5 H9 l0 y: ` |# pVariation, 变异
. t4 ?: Z, {* ]) kVarimax orthogonal rotation, 方差最大正交旋转 Y$ Y' A* d2 H) L2 e
Volume of distribution, 容积
}7 N8 ]" b0 x. ?( n' MW test, W检验6 S: L- X+ @" F
Weibull distribution, 威布尔分布
9 j7 S# V4 I& w/ E( iWeight, 权数
0 J) Q5 I: U; M( L% ~ a# y+ bWeighted Chi-square test, 加权卡方检验/Cochran检验& C9 @# ^( j& H" y' v
Weighted linear regression method, 加权直线回归) z7 H2 m8 W5 k4 a3 ]( X
Weighted mean, 加权平均数. I2 O1 c. I9 Q9 u( q! V
Weighted mean square, 加权平均方差
& h, M+ p' T5 U DWeighted sum of square, 加权平方和5 Z" ^3 X6 h- G0 P3 O! }1 E( }
Weighting coefficient, 权重系数; H- a6 {9 u3 v' C6 R& t. m
Weighting method, 加权法 2 ~5 o# _* `8 P, \
W-estimation, W估计量" [. b/ j( m: p" B% W
W-estimation of location, 位置W估计量
3 N' R! ?" K1 _. _% O- `) Z! [Width, 宽度) x3 h( q6 H) g1 P. A4 Y7 P) b3 S
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验
, x) |6 r& R+ R7 W6 LWild point, 野点/狂点# v I# k! ], o+ D8 Q
Wild value, 野值/狂值$ @6 d, ^9 G* K3 t
Winsorized mean, 缩尾均值
6 h: n0 H2 Q! x5 w% {Withdraw, 失访
2 L9 y! V* s+ HYouden's index, 尤登指数
* N$ W6 V" q, u( g; v `5 hZ test, Z检验
3 F7 d6 X* m3 M" F1 V( ^Zero correlation, 零相关
8 ^$ n# n4 m" M, ~5 AZ-transformation, Z变换 |
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