概率論與數(shù)理統(tǒng)計(jì)：英文本

定　價(jià)：￥58.00

作　者：	美Jay L.Devore著
出版社：	高等教育出版社
叢編項(xiàng)：	海外優(yōu)秀數(shù)學(xué)類教材系列叢書(shū)
標(biāo)　簽：	概率論與數(shù)理統(tǒng)計(jì)

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ISBN：	9787040155600	出版時(shí)間：	2004-11-01	包裝：	平裝
開(kāi)本：	24cm＋光盤1片	頁(yè)數(shù)：	398	字?jǐn)?shù)：

內(nèi)容簡(jiǎn)介

　　本書(shū)從ThomsonLearning出版公司引進(jìn)。本書(shū)主要介紹了概率統(tǒng)計(jì)的基本思想、概念和方法，從各個(gè)應(yīng)用層面和案例入手，使用盡量少的概率知識(shí)介紹了應(yīng)用統(tǒng)計(jì)的基本內(nèi)容和擴(kuò)展內(nèi)容。閱讀本書(shū)，不需要微積分學(xué)知識(shí)，只需具備高中數(shù)學(xué)水平即可。本書(shū)著重思維、層次分明、大量案例與練習(xí)以統(tǒng)計(jì)軟件Minitab作統(tǒng)計(jì)分析，使用方便，適合于工科、經(jīng)濟(jì)、管理類專業(yè)學(xué)生作為概率統(tǒng)計(jì)雙語(yǔ)教材使用，也可供教師教學(xué)參考。本書(shū)主要內(nèi)容有：0.統(tǒng)計(jì)學(xué)簡(jiǎn)介；1.用圖表描述數(shù)據(jù)；2.用數(shù)值方法描述數(shù)據(jù)；3.雙變量數(shù)據(jù)的描述；4.概率及概率分布；5.幾個(gè)有用的離散型分布；6.正態(tài)概率分布；7.抽樣分布；8.大樣本估計(jì)；9.大樣本假設(shè)檢驗(yàn)；10.從小樣本推斷；11.方差分析；12.線性回歸及相關(guān)性；13.多元線性回歸；14.范疇數(shù)據(jù)分析；15.非參數(shù)統(tǒng)計(jì)。書(shū)后給出了部分習(xí)題答案。

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暫缺《概率論與數(shù)理統(tǒng)計(jì)：英文本》作者簡(jiǎn)介

圖書(shū)目錄

1　OverviewandDescriptiveStatistics1
Introduction1
1.1Populations,Samples,andProcesses3
1.2PictorialandTabularMethodsinDescriptiveStatistics11
1.3MeasuresofLocation28
1.4MeasuresofVariability36
SupplementaryExercises48
Bibliography51
2　Probability52
Introduction52
2.1SampleSpacesandEvents53
2.2Axioms,Interpretations,andPropertiesofProbability58
2.3CountingTechniques67
2.4ConditionalProbability75
2.5Independence86
SupplementaryExercises92
Bibliography95
3　DiscreteRandomVariables
andProbabilityDistributions96
Introduction96
3.1RandomVariables96
3.2ProbabilityDistributionsforDiscreteRandomVariables100
3.3ExpectedValuesofDiscreteRandomVariables110
3.4TheBinomialProbabilityDistribution119
3.5HypergeometricandNegativeBinomialDistributions127
3.6ThePoissonProbabilityDistribution134
SupplementaryExercises139
Bibliography142
4　ContinuousRandomVariablesandProbabilityDistributions143
Introduction143
4.1ContinuousRandomVariablesandProbabilityDensityFunctions143
4.2CumulativeDistributionFunctionsandExpectedValues149
4.3TheNormalDistribution158
4.4TheGammaDistributionandItsRelatives171
4.5OtherContinuousDistributions178
4.6ProbabilityPlots185
SupplementaryExercises196
Bibliography200
5　JointProbabilityDistributionsandRandomSamples201
Introduction201
5.1JointlyDistributedRandomVariables202
5.2ExpectedValues,Covariance,andCorrelation215
5.3StatisticsandTheirDistributions221
5.4TheDistributionoftheSampleMean233
5.5TheDistributionofaLinearCombination239
SupplementaryExercises245
Bibliography248
6　PointEstimation249
Introduction249
6.1SomeGeneralConceptsofPointEstimation250
6.2MethodsofPointEstimation265
SupplementaryExercises274
Bibliography275
7　StatisticalIntervalsBasedonaSingleSample277
Introduction277
7.1BasicPropertiesofConfidenceIntervals278
7.2Large-SampleConfidenceIntervalsforaPopulationMeanand
Proportion287
7.3IntervalsBasedonaNormalPopulationDistribution295
7.4ConfidenceIntervalsfortheVarianceandStandardDeviationofaNormalPopulation304
SupplementaryExercises307
Bibliography309
8　TestsofHypothesesBasedonaSingleSample310
Introduction310
8.1HypothesesandTestProcedures311
8.2TestsAboutaPopulationMean321
8.3TestsConcerningaPopulationProportion334
8.4P-Values339
8.5SomeCommentsonSelectingaTestProcedure347
SupplementaryExercises350
Bibliography353
9　InferencesBasedonTwoSamples354
Introduction354
9.1zTestsandConfidenceIntervalsforaDifferenceBetweenTwoPopulationMeans355
9.2TheTwo-SampletTestandConfidenceInterval366
9.3AnalysisofPairedData374
9.4InferencesConcerningaDifferenceBetweenPopulationProportions384
9.5InferencesConcerningTwoPopulationVariances392
SupplementaryExercises396
Bibliography401
10　TheAnalysisofVariance402
Introduction402
10.1Single-FactorANOVA403
10.2MultipleComparisonsinANOVA414
10.3MoreonSingle-FactorANOVA420
SupplementaryExercises430
Bibliography432
11　MultifactorAnalysisofVariance433
Introduction433
11.1Two-FactorANOVAwithKij=1434
11.2Two-FactorANOVAwithKij>1448
11.3Three-FactorANOVA457
11.42pFactorialExperiments468
SupplementaryExercises483
Bibliography486
12　SimpleLinearRegressionandCorrelation488
Introduction488
12.1TheSimpleLinearRegressionModel489
12.2EstimatingModelParameters497
12.3InferencesAbouttheSlopeParameterB1512
12.4InferencesConcerninguY.xandthePredictionofFutureYValues520
12.5Correlation528
SupplementaryExercises538
Bibliography542
13　NonlinearandMultipleRegression543
Introduction543
13.1AptnessoftheModelandModelChecking544
13.2RegressionwithTransformedVariables552
13.3PolynomialRegression562
13.4MultipleRegressionAnalysis573
13.5OtherIssuesinMultipleRegression597
SupplementaryExercises610
Bibliography615
14　TheAnalysisofCategoricalData616
Introduction616
14.1Goodness-of-FitTestsWhenCategoryProbabilitiesAreCompletelySpecified617
14.2GoodnessofFitforCompositeHypotheses625
14.3Two-WayContingencyTables638
SupplementaryExercises646
Bibliography648
15　Distribution-FreeProcedures649
Introduction649
15.1TheWilcoxonSigned-RankTest650
15.2TheWilcoxonRank-SumTest659
15.3Distribution-FreeConfidenceIntervals666
15.4Distribution-FreeANOVA671
SupplementaryExercises675
Bibliography677
16　QualityControlMethods678
Introduction678
16.1GeneralCommentsonControlCharts679
16.2ControlChartsforProcessLocation681
16.3ControlChartsforProcessVariation690
16.4ControlChartsforAttributes695
16.5CUSUMProcedures700
16.6AcceptanceSampling709
SupplementaryExercises715
Bibliography716
AppendixTables717
A.1CumulativeBinomialProbabilities718
A.2CumulativePoissonProbabilities720
A.3StandardNormalCurveAreas722
A.4TheIncompleteGammaFunction724
A.5CriticalValuesfortDistributions725
A.6ToleranceCriticalValuesforNormalPopulationDistributions726
A.7CriticalValuesforChi-SquaredDistributions727
A.8tCurveTailAreas728
A.9CriticalValuesforFDistributions730
A.10CriticalValuesforStudentizedRangeDistributions736
A.11Chi-SquaredCurveTailAreas737
A.12CriticalValuesfortheRyan-JoinerTestofNormality739
A.13CriticalValuesfortheWilcoxonSigned-RankTest740
A.14CriticalValuesfortheWilcoxonRank-SumTest741
A.15CriticalValuesfortheWilcoxonSigned-RankInterval742
A.16CriticalValuesfortheWilcoxonRank-SumInterval743
A.17CurvesfortTests744
AnswerstoOdd-NumberedExercises745
Index765