概率论与数理统计中的英文单词和短语

概率论与数理统计ProbabilityTheoryandMathematicalStatistics第一章概率论的基本概念Chapter1IntroductionofProbabilityTheory不确定性indeterminacy必然现象certainphenomenon随机现象randomphenomenon试验experiment结果outcome频率数frequencynumber样本空间samplespace出现次数frequencyofoccurrencen维样本空间n-dimensionalsamplespace样本空间的点pointinsamplespace随机事件randomevent/randomoccurrence基本事件elementaryevent必然事件certainevent不可能事件impossibleevent等可能事件equallylikelyevent事件运算律operationalrulesofevents事件的包含implicationofevents并事件unionevents交事件intersectionevents互不相容事件、互斥事件mutuallyexclusiveexvents//incompatibleevents互逆的mutuallyinverse加法定理additiontheorem古典概率classicalprobability古典概率模型classicalprobabilisticmodel几何概率geometricprobability乘法定理producttheorem概率乘法multiplicationofprobabilities条件概率conditionalprobability全概率公式、全概率定理formulaoftotalprobability贝叶斯公式、逆概率公式Bayesformula后验概率posteriorprobability先验概率priorprobability独立事件independentevent独立随机事件independentrandomevent独立实验independentexperiment两两独立pairwiseindependent两两独立事件pairwiseindependentevents第二章随机变量及其分布Chapter2RandomVariablesandDistributions随机变量randomvariables离散随机变量discreterandomvariables概率分布律lawofprobabilitydistribution一维概率分布one-dimensionprobabilitydistribution概率分布probabilitydistribution两点分布two-pointdistribution伯努利分布Bernoullidistribution二项分布/伯努利分布Binomialdistribution超几何分布hypergeometricdistribution三项分布trinomialdistribution多项分布polynomialdistribution泊松分布Poissondistribution泊松参数Poissontheorem分布函数distributionfunction概率分布函数probabilitydensityfunction连续随机变量continuousrandomvariable概率密度probabilitydensity概率论与数理统计中的英文单词和短语概率密度函数probabilitydensityfunction概率曲线probabilitycurve均匀分布uniformdistribution指数分布exponentialdistribution指数分布密度函数exponentialdistributiondensityfunction正态分布、高斯分布normaldistribution标准正态分布standardnormaldistribution正态概率密度函数normalprobabilitydensityfunction正态概率曲线normalprobabilitycurve标准正态曲线standardnormalcurve柯西分布Cauchydistribution分布密度densityofdistribution第三章多维随机变量及其分布Chapter3MultivariateRandomVariablesandDistributions二维随机变量two-dimensionalrandomvariable联合分布函数jointdistributionfunction二维离散型随机变量two-dimensionaldiscreterandomvariable二维连续型随机变量two-dimensionalcontinuousrandomvariable联合概率密度jointprobabilityvariablen维随机变量n-dimensionalrandomvariablen维分布函数n-dimensionaldistributionfunctionn维概率分布n-dimensionalprobabilitydistribution边缘分布marginaldistribution边缘分布函数marginaldistributionfunction边缘分布律lawofmarginaldistribution边缘概率密度marginalprobabilitydensity二维正态分布two-dimensionalnormaldistribution二维正态概率密度two-dimensionalnormalprobabilitydensity二维正态概率曲线two-dimensionalnormalprobabilitycurve条件分布conditionaldistribution条件分布律lawofconditionaldistribution条件概率分布conditionalprobabilitydistribution条件概率密度conditionalprobabilitydistribution边缘密度marginaldensity独立随机变量independentrandomvariables第四章随机变量的数字特征Chapter4NumericalCharacteristicsfoRandomVariables数学期望、均值mathematicalexpectation期望值expectationvalue方差variance标准差standarddeviation随机变量的方差varianceofrandomvariables均方差meansquaredeviation相关关系dependencerelation相关系数correlationcoefficient协方差covariance协方差矩阵covariancematrix切比雪夫不等式Chebyshevinequality第五章大数定律及中心极限定理Chapter5LawofLargeNumbersandCentralLimitTheorem大数定律lawofgreatnumbers切比雪夫定理的特殊形式specialformofChebyshevtheorem依概率收敛convergenceinprobability伯努利大数定律Bernoullilawoflargenumbers同分布samedistribution列维-林德伯格定理、独立同分布中心极限定理independentLevy-Lindbergtheorem辛钦大数定律Khinchinelawoflargenumbers利亚普诺夫定理Liapunovtheorem棣莫弗-拉普拉斯定理DeMoivre-Laplacetheorem第六章样本及抽样分布Chapter6SamplesandSamplingDistributions统计量statistic总体population个体individual样本sample容量capacity统计分析statisticalanalysis统计分布statisticaldistribution统计总体statisticalensemble随机抽样stochasticsampling/randomsampling随机样本randomsample简单随机抽样simplerandomsampling简单随机样本simplerandomsample经验分布函数empiricaldistributionfunction样本均值sampleaverage/samplemean样本方差samplevariance样本标准差samplestandarddeviation标准误差standarderror样本k阶矩samplemomentoforderk样本中心矩samplecentralmoment样本值samplevalue样本大小、样本容量samplesize样本统计量samplingstatistics随机抽样分布randomsamplingdistribution抽样分布、样本分布samplingdistribution自由度degreeoffreedomZ分布Z-distributionU分布U-distribution第七章参数估计Chapter7ParameterEstimations统计推断statisticalinference参数估计parameterestimation分布参数parameterofdistribution参数统计推断parametricstatisticalinference点估计pointestimate/pointestimation总体中心距populationcentralmoment总体相关系数populationcorrelationcoefficient总体分布populationcovariance总体协方差populationcovariance点估计量pointestimator估计量estimator无偏估计unbiasedestimate/unbiasedestimation估计量的有效性efficiencyofestimator矩法估计momentestimation总体均值populationmean总体矩populationmoment总体k阶矩populationmomentoforderk总体参数populationparameter极大似然估计maximumlikelihoodestimation极大似然估计量maximumlikelihoodestimator极大似然法maximumlikelihoodmethod/maximum-likelihoodmethod似然方程likelihoodequation似然函数likelihoodfunction区间估计intervalestimation置信区间confidenceinterval置信水平confidencelevel置信系数confidencecoefficient单侧置信区间one-sidedconfidenceinterval置信上限confidenceupperlimit置信下限confidencelowerlimitU估计U-estimator正态总体normalpopulation总体方差的估计estimationofpopulationvariance置信度degreeofconfidence方差比varianceratio第八章假设检验Chapter8HypothesisTestings参数假设parametrichypothesis假设检验hypothesistesting两类错误twotypesoferrors统计假设statisticalhypothesis统计假设检验statistical