商务统计：决策与分析

图书标准信息

• 作者 [美]Robert A.Stine 著
• 出版社 机械工业出版社
• 出版时间 2011-05
• 版次 1
• ISBN 9787111342007
• 定价 119.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 832页
• 正文语种 英语
• 原版书名 Statistics for Business: Decision Making and Analysis
• 丛书 华章统计学原版精品系列

【内容简介】

现在商业竞争日益激烈，有效做出商务决策变得至关重要。本书从实际的商业问题出发，详细阐述如何利用数据进行信息决策，并将统计概念与实际问题联系起来，告诉读者如何寻找模式从数据建立统计模型，以及如何提供调查结果。书中涵盖了应用统计学在当代商务经济领域中几乎所有的重要应用，并且统计软件（包括Excel、Minitab等）的使用贯穿全书。

【作者简介】

RobertStine于普林斯顿大学获得博士学位。自1983年以来他一直在宾夕法尼亚大学沃顿商学院讲授商务统计学课程。在任教期间，他获得了多项教学奖，包括MBA核心教学奖、DavidW.Hauck优秀教学奖。他的研究领域包括计算机软件、时间序列分析和预测、与模型识别和选择相关的一般问题等。
DeanFoster于马里兰大学获得博士学位。他曾在芝加哥大学任教，自1992年以来任教于宾夕法尼亚大学沃顿商学院。他讲授的课程有商务统计初步、概率论与马尔可夫链、统计计算和高等统计学等。其研究领域包括随机过程的统计推断、博弈论、机器学习和变量选择。

【目录】

Prefaceiii
IndexofApplicationsxvii
PARTONEVariation
1Introduction2
1.1WhatisStatistics?2
1.2Previews4
1.3HowtoUseThisBook92Data13
2.1DataTables14
2.2CategoricalandNumericalData15
2.3RecodingandAggregation17
2.4TimeSeries20
2.5FurtherAttributesofData21

ChapterSummary24
3DescribingCategoricalData28
3.1LookingatData29
3.2ChartsofCategoricalData31
3.3TheAreaPrinciple35
3.4ModeandMedian40

ChapterSummary43
4DescribingNumericalData52
4.1SummariesofNumericalVariables53
4.2HistogramsandtheDistributionofNumericalData57
4.3Boxplot60
4.4ShapeofaDistribution62
4.5Epilog66

ChapterSummary69
5AssociationbetweenCategoricalVariables77
5.1ContingencyTables78
5.2LurkingVariablesandSimpson’sParadox85
5.3StrengthofAssociation89

ChapterSummary95
6AssociationbetweenQuantitativeVariables104
6.1Scatterplots105
6.2AssociationinScatterplots107
6.3MeasuringAssociation109
6.4SummarizingAssociationwithaLine115
6.5SpuriousCorrelation118

ChapterSummary123
STATISTICSINACTIONCASEFinancialtimeseries134
STATISTICSINACTIONCASEExecutivecompensation142
PARTTWOProbability
7Probability150
7.1FromDatatoProbability151
7.2RulesforProbability156
7.3IndependentEvents161

ChapterSummary165
8ConditionalProbability174
8.1FromTablestoProbabilities175
8.2DependentEvents178
8.3OrganizingProbabilities182
8.4OrderinConditionalProbabilities185

ChapterSummary190
9RandomVariables196
9.1RandomVariables197
9.2PropertiesofRandomVariables200
9.3PropertiesofExpectedValues205
9.4ComparingRandomVariables207

ChapterSummary209
10AssociationbetweenRandomVariables218
10.1PortfoliosandRandomVariables219
10.2JointProbabilityDistribution221
10.3SumsofRandomVariables224
10.4DependencebetweenRandomVariables225
10.5IIDRandomVariables230
10.6WeightedSums232

ChapterSummary236
11ProbabilityModelsforCounts243
11.1RandomVariablesforCounts244
11.2BinomialModel246
11.3PropertiesofBinomialRandomVariables247
11.4PoissonModel251

ChapterSummary257
12TheNormalProbabilityModel261
12.1NormalRandomVariable262
12.2TheNormalModel265
12.3Percentiles271
12.4DeparturesfromNormality272

ChapterSummary278
STATISTICSINACTIONCASEManagingFinancialRisk287
STATISTICSINACTIONCASEModelingSamplingVariation296
PARTTHREEInference
13SamplesandSurveys304
13.1TwoSurprisingPropertiesofSampling305
13.2Variation310
13.3AlternativeSamplingMethods314
13.4ChecklistforSurveys317

ChapterSummary321
14SamplingVariationandQuality325
14.1SamplingDistributionoftheMean326
14.2ControlLimits331
14.3UsingaControlChart334
14.4ControlChartsforVariation337

ChapterSummary343
15ConfidenceIntervals351
15.1RangesforParameters352
15.2ConfidenceIntervalfortheMean357
15.3InterpretingConfidenceIntervals360
15.4ManipulatingConfidenceIntervals362
15.5MarginofError364

ChapterSummary371
16StatisticalTests378
16.1ConceptsofStatisticalTests379
16.2TestingtheProportion384
16.3TestingtheMean388
16.4OtherPropertiesofTests393

ChapterSummary397
17AlternativeApproachestoInference403
17.1AConfidenceIntervalfortheMedian404
17.2Transformations410
17.3PredictionIntervals411
17.4ProportionsBasedonSmallSamples415

ChapterSummary419
18Comparison424
18.1DataforComparisons425
18.2Two-samplet-test427
18.3ConfidenceIntervalfortheDifference432
18.4OtherComparisons435

ChapterSummary444
STATISTICSINACTIONCASERareEvents450
STATISTICSINACTIONCASETestingAssociation456
PARTFOURRegressionModels
19LinearPatterns464
19.1FittingaLinetoData465
19.2InterpretingtheFittedLine467
19.3PropertiesofResiduals472
19.4ExplainingVariation474
19.5ConditionsforSimpleRegression475

ChapterSummary481
20CurvedPatterns488
20.1DetectingNonlinearPatterns489
20.2Transformations491
20.3ReciprocalTransformation492
20.4LogarithmTransformation497

ChapterSummary506
21TheSimpleRegressionModel513
21.1TheSimpleRegressionModel514
21.2ConditionsfortheSimpleRegressionModel518
21.3InferenceinRegression521
21.4PredictionIntervals529

ChapterSummary537
22RegressionDiagnostics545
22.1Problem1:ChangingVariation546
22.2Problem2:LeveragedOutliers555
22.3Problem3:DependentErrorsandTimeSeries559

ChapterSummary566
23MultipleRegression573
23.1TheMultipleRegressionModel574
23.2InterpretingMultipleRegression575
23.3CheckingConditions581
23.4InferenceinMultipleRegression584
23.5StepsinFittingaMultipleRegression588

ChapterSummary594
24BuildingRegressionModels605
24.1IdentifyingExplanatoryVariables606
24.2Collinearity611
24.3RemovingExplanatoryVariables616

ChapterSummary627
25CategoricalExplanatoryVariables635
25.1Two-sampleComparisons636
25.2AnalysisofCovariance639
25.3CheckingConditions642
25.4InteractionsandInference644
25.5RegressionwithSeveralGroups651

ChapterSummary656
26AnalysisofVariance665
26.1ComparingSeveralGroups666
26.2InferenceinAnovaRegressionModels673
26.3MultipleComparisons677
26.4GroupsofDifferentSize680

ChapterSummary686
27TimeSeries694
27.1DecomposingaTimeSeries695
27.2RegressionModels698
27.3CheckingtheModel708

ChapterSummary719
STATISTICSINACTIONCASEAnalyzingExperiments728
STATISTICSINACTIONCASEAutomatedModeling736
Appendix:Tables743
AnswersA-1
PhotoAcknowledgmentsC-1