-L©食品论坛 -- 关注食品安全，探讨食品技术　　SPy;|;©食品论坛 -- 关注食品安全，探讨食品技术　　>Effect, 实验效应<GEigenvalue, 特征值t=H-Eigenvector, 特征向量c`zMEllipse, 椭圆z,)/<Empirical distribution, 经验分布J;0^Empirical probability, 经验概率单位H7Enumeration data, 计数资料I`%gEqual sun-class number, 相等次级组含量 ?,Equally likely, 等可能n^ngptEquivariance, 同变性"kgError, 误差/错误^X44QDError of estimate, 估计误差m#l{;vError type I, 第一类错误"O]!GError type II, 第二类错误lWEstimand, 被估量HT=Estimated error mean squares, 估计误差均方KFEstimated error sum of squares, 估计误差平方和i' Euclidean distance, 欧式距离l=U\,IEvent, 事件w1'UW_Event, 事件[zddExceptional data point, 异常数据点%.e2Expectation plane, 期望平面:<Expectation surface, 期望曲面wwYExpected values, 期望值OExperiment, 实验IExperimental sampling, 试验抽样BYzExperimental unit, 试验单位B(usExplanatory variable, 说明变量CExploratory data analysis, 探索性数据分析}IAExplore Summarize, 探索-摘要9^Exponential curve, 指数曲线&!nJxBExponential growth, 指数式增长^EXSMOOTH, 指数平滑方法 ]a~Extended fit, 扩充拟合)8U&IExtra parameter, 附加参数U@Dx;fExtrapolation, 外推法t;AMExtreme observation, 末端观测值 uQ Extremes, 极端值/极值)W|F distribution, F分布o~nF test, F检验WYKTX8Factor, 因素/因子DFactor analysis, 因子分析9eCFactor Analysis, 因子分析#9gHGdFactor score, 因子得分(zjHFactorial, 阶乘f{nFactorial design, 析因试验设计zYe_gFalse negative, 假阴性|aj8\False negative error, 假阴性错误kiFamily of distributions, 分布族JFamily of estimators, 估计量族$QV?Fanning, 扇面K["^*Fatality rate, 病死率26z"KField investigation, 现场调查S .3Field survey, 现场调查8apSsFinite　population, 有限总体MW#Finite-sample, 有限样本waJ3OFirst derivative, 一阶导数 +/WFirst principal component, 第一主成分| pmlQFirst quartile, 第一四分位数v8%Dv)Fisher information, 费雪信息量b!^a Fitted value, 拟合值T.JFitting a curve, 曲线拟合_K}]UFixed base, 定基/4)PFluctuation, 随机起伏 Forecast, 预测uYD~Four fold table, 四格表vFourth, 四分点Jd8~Fraction blow, 左侧比率dFractional error, 相对误差/0WqFrequency, 频率fgHFrequency polygon, 频数多边图E;^R"Frontier point, 界限点0[Function relationship, 泛函关系2Gamma distribution, 伽玛分布VGauss increment, 高斯增量mTbuoGaussian distribution, 高斯分布/正态分布JEfoGauss-Newton increment, 高斯-牛顿增量OO#:General census, 全面普查$GENLOG (Generalized liner 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Kendall等级相关Dw^Kinetic, 动力学]!_( Kolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验QKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验*OWKurtosis, 峰度MLack of fit, 失拟$7RtLadder of powers, 幂阶梯3Lag, 滞后jLarge sample, 大样本LWT }Large sample test, 大样本检验%{GLatin square, 拉丁方'Latin square design, 拉丁方设计K#Leakage, 泄漏e-Least favorable configuration, 最不利构形=[ 4v#Least favorable distribution, 最不利分布xFLHmBLeast significant difference, 最小显著差法Gb0lLeast square method, 最小二乘法6Least-absolute-residuals estimates, 最小绝对残差估计ZLeast-absolute-residuals fit, 最小绝对残差拟合rLeast-absolute-residuals line, 最小绝对残差线s%Legend, 图例'.PIL-estimator, L估计量ciMRm?L-estimator of location, 位置L估计量I::L?&L-estimator of scale, 尺度L估计量/\A#Level, 水平~Life expectance, 预期期望寿命lU9o[Life table, 寿命表P6=:\Life table method, 生命表法`\LLcLight-tailed distribution, 轻尾分布l;r$.Likelihood function, 似然函数MiLikelihood ratio, 似然比?'hu@line graph, 线图t'*]Linear correlation, 直线相关QBLinear equation, 线性方程@sBjLinear programming, 线性规划m{>MuLinear regression, 直线回归'-:oLinear Regression, 线性回归N'n-PvLinear trend, 线性趋势*bDLoading, 载荷 ELocation and scale equivariance, 位置尺度同变性(n}_oLocation equivariance, 位置同变性xLocation invariance, 位置不变性b1ghLocation scale family, 位置尺度族fV 5Log rank test, 时序检验 eGAALogarithmic curve, 对数曲线F-_x"@Logarithmic normal distribution, 对数正态分布x{Logarithmic scale, 对数尺度l{Logarithmic transformation, 对数变换4@hLogic check, 逻辑检查9wuLogistic distribution, 逻辑斯特分布ILogit transformation, Logit转换lSS7LOGLINEAR, 多维列联表通用模型 n'nLognormal distribution, 对数正态分布-Lost function, 损失函数{-%_+Low correlation, 低度相关pLower limit, 下限DLowest-attained variance, 最小可达方差#4X_LSD, 最小显著差法的简称crLurking variable, 潜在变量 ?:`~<i