概率论与数理统计
2004-11
高等教育出版社
德沃尔
无
《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。
作者：(美国)德沃尔 (Devore.J.L.)
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)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。
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作者Devore绝对是一位大师，他把复杂的概率统计原理与真实的现实问题相结合，利用标准学术杂志上的文章中的数据作用例题，我不知道还有没第二个数学家能这样做到！我曾经冲动的给高教出版社的编辑写信想翻译这本书，但可能我不是数学专业人士，或编辑认为没有必要这样做，反正我没有收到回信。机械工业出版社已影印了这本书的第七版，但我实在想不通，为什么机械工业出版社的编辑认为后面的3章不重要？硬是活生生的给删减了。虽然高教的这版是第5版，我更乐于用它、读它。不是收到卓越的信邀请为此书写评论，我恐怕是不会写的。我相信一定还有喜欢这本书的人。
书还没有看，应该不错。但是没有光盘啊，为什么不送光盘？不是附赠的么？怎么回事啊！！！
用起來好用 用起來好用
貌似内容挺多的，暑假慢慢啃
其实已经读了很长时间了，今天3月份买的，到现在还没有读完（平时比较忙），感觉是很不错，向来都比较喜欢国外的教科书，及趣味性与知识性于一体。。
昨天刚到的书，今天看了，非常好！浅显易懂，上面的例子 直接就是别人发表的数据或者现实中的问题，便于理解。本书的主要目的 是让读者形成一个 统计思想，而不像咱们的教科书上来就是公式和联系题，学过了也就忘了。不错！