概率论与数理统计：第5版

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作者：德沃尔 (Devore.J.L.)

出版社：高等教育出版社

本类榜单：自然科学

分类：自然科学 > 数学

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ISBN：7040155605
装帧：简裝本
册数：暂无
重量：暂无
开本：小16开
页数：775 页
出版时间：2004-11-01
条形码：9787040155600 ; 978-7-04-015560-0

本书特色

《概率论与数理统计》(第5版影印版)从ThomsonLearning出版公司引进。《概率论与数理统计》主要介绍了概率统计的基本思想、概念和方法，从各个应用层面和案例入手，使用尽量少的概率知识介绍了应用统计的基本内容和扩展内容。阅读《概率论与数理统计》，不需要微积分学知识，只需具备高中数学水平即可。

内容简介

本书从Thomson Learning出版公司引进。本书主要介绍了概率统计的基本思想、概念和方法，从各个应用层面和案例入手，使用尽量少的概率知识介绍了应用统计的基本内容和扩展内容。阅读本书，不需要微积分学知识，只需具备高中数学水平即可。本书着重思维、层次分明、大量案例与练习以统计软件Minitab作统计分析，使用方便，适合于工科、经济、管理类专业学生作为概率统计双语教材使用，也可供教师教学参考。本书主要内容有：0．统计学简介；1．用图表描述数据；2．用数值方法描述数据；3．双变量数据的描述；4．概率及概率分布；5．几个有用的离散型分布；6．正态概率分布；7．抽样分布；8．大样本估计；9．大样本假设检验； 10．从小样本推断；11．方差分析；12．线性回归及相关性；13．多元线性回归；14．范畴数据分析；15．非参数统计。书后给出了部分习题答案。

1　OverviewandDescriptiveStatistics1Introduction11.1Populations,Samples,andProcesses31.2PictorialandTabularMethodsinDescriptiveStatistics111.3MeasuresofLocation281.4MeasuresofVariability36SupplementaryExercises48Bibliography512　Probability52Introduction522.1SampleSpacesandEvents532.2Axioms,Interpretations,andPropertiesofProbability582.3CountingTechniques672.4ConditionalProbability752.5Independence86SupplementaryExercises92Bibliography953　DiscreteRandomVariablesandProbabilityDistributions96Introduction963.1RandomVariables963.2ProbabilityDistributionsforDiscreteRandomVariables1003.3ExpectedValuesofDiscreteRandomVariables1103.4TheBinomialProbabilityDistribution1193.5HypergeometricandNegativeBinomialDistributions1273.6ThePoissonProbabilityDistribution134SupplementaryExercises139Bibliography1424　ContinuousRandomVariablesandProbabilityDistributions143Introduction1434.1ContinuousRandomVariablesandProbabilityDensityFunctions1434.2CumulativeDistributionFunctionsandExpectedValues1494.3TheNormalDistribution1584.4TheGammaDistributionandItsRelatives1714.5OtherContinuousDistributions1784.6ProbabilityPlots185SupplementaryExercises196Bibliography2005　JointProbabilityDistributionsandRandomSamples201Introduction2015.1JointlyDistributedRandomVariables2025.2ExpectedValues,Covariance,andCorrelation2155.3StatisticsandTheirDistributions2215.4TheDistributionoftheSampleMean2335.5TheDistributionofaLinearCombination239SupplementaryExercises245Bibliography2486　PointEstimation249Introduction2496.1SomeGeneralConceptsofPointEstimation2506.2MethodsofPointEstimation265SupplementaryExercises274Bibliography2757　StatisticalIntervalsBasedonaSingleSample277Introduction2777.1BasicPropertiesofConfidenceIntervals2787.2Large-SampleConfidenceIntervalsforaPopulationMeanandProportion2877.3IntervalsBasedonaNormalPopulationDistribution2957.4ConfidenceIntervalsfortheVarianceandStandardDeviationofaNormalPopulation304SupplementaryExercises307Bibliography3098　TestsofHypothesesBasedonaSingleSample310Introduction3108.1HypothesesandTestProcedures3118.2TestsAboutaPopulationMean3218.3TestsConcerningaPopulationProportion3348.4P-Values3398.5SomeCommentsonSelectingaTestProcedure347SupplementaryExercises350Bibliography3539　InferencesBasedonTwoSamples354Introduction3549.1zTestsandConfidenceIntervalsforaDifferenceBetweenTwoPopulationMeans3559.2TheTwo-SampletTestandConfidenceInterval3669.3AnalysisofPairedData3749.4InferencesConcerningaDifferenceBetweenPopulationProportions3849.5InferencesConcerningTwoPopulationVariances392SupplementaryExercises396Bibliography40110　TheAnalysisofVariance402Introduction40210.1Single-FactorANOVA40310.2MultipleComparisonsinANOVA41410.3MoreonSingle-FactorANOVA420SupplementaryExercises430Bibliography43211　MultifactorAnalysisofVariance433Introduction43311.1Two-FactorANOVAwithKij=143411.2Two-FactorANOVAwithKij>144811.3Three-FactorANOVA45711.42pFactorialExperiments468SupplementaryExercises483Bibliography48612　SimpleLinearRegressionandCorrelation488Introduction48812.1TheSimpleLinearRegressionModel48912.2EstimatingModelParameters49712.3InferencesAbouttheSlopeParameterB151212.4InferencesConcerninguY.xandthePredictionofFutureYValues52012.5Correlation528SupplementaryExercises538Bibliography54213　NonlinearandMultipleRegression543Introduction54313.1AptnessoftheModelandModelChecking54413.2RegressionwithTransformedVariables55213.3PolynomialRegression56213.4MultipleRegressionAnalysis57313.5OtherIssuesinMultipleRegression597SupplementaryExercises610Bibliography61514　TheAnalysisofCategoricalData616Introduction61614.1Goodness-of-FitTestsWhenCategoryProbabilitiesAreCompletelySpecified61714.2GoodnessofFitforCompositeHypotheses62514.3Two-WayContingencyTables638SupplementaryExercises646Bibliography64815　Distribution-FreeProcedures649Introduction64915.1TheWilcoxonSigned-RankTest65015.2TheWilcoxonRank-SumTest65915.3Distribution-FreeConfidenceIntervals66615.4Distribution-FreeANOVA671SupplementaryExercises675Bibliography67716　QualityControlMethods678Introduction67816.1GeneralCommentsonControlCharts67916.2ControlChartsforProcessLocation68116.3ControlChartsforProcessVariation69016.4ControlChartsforAttributes69516.5CUSUMProcedures70016.6AcceptanceSampling709SupplementaryExercises715Bibliography716AppendixTables717A.1CumulativeBinomialProbabilities718A.2CumulativePoissonProbabilities720A.3StandardNormalCurveAreas722A.4TheIncompleteGammaFunction724A.5CriticalValuesfortDistributions725A.6ToleranceCriticalValuesforNormalPopulationDistributions726A.7CriticalValuesforChi-SquaredDistributions727A.8tCurveTailAreas728A.9CriticalValuesforFDistributions730A.10CriticalValuesforStudentizedRangeDistributions736A.11Chi-SquaredCurveTailAreas737A.12CriticalValuesfortheRyan-JoinerTestofNormality739A.13CriticalValuesfortheWilcoxonSigned-RankTest740A.14CriticalValuesfortheWilcoxonRank-SumTest741A.15CriticalValuesfortheWilcoxonSigned-RankInterval742A.16CriticalValuesfortheWilcoxonRank-SumInterval743A.17CurvesfortTests744AnswerstoOdd-NumberedExercises745Index765

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《概率论与数理统计》(第5版影印版)着重思维、层次分明、大量案例与练习以统计软件Minitab作统计分析，使用方便，适合于工科、经济、管理类专业学生作为概率统计双语教材使用，也可供教师教学参考。《概率论与数理统计》主要内容有：0.统计学简介；1.用图表描述数据；2.用数值方法描述数据；3.双变量数据的描述；4.概率及概率分布；5.几个有用的离散型分布；6.正态概率分布；7.抽样分布；8.大样本估计；9.大样本假设检验；10.从小样本推断；11.方差分析；12.线性回归及相关性；13.多元线性回归；14.范畴数据分析；15.非参数统计。书后给出了部分习题答案。

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