開本:16開 紙張:膠版紙 包裝:平裝 是否套裝:否 國際標準書號ISBN:9787111342007 叢書名:華章統計學原版精品繫列 作者:(美)斯泰恩(Stine,R.A.)福斯特(Foster,D 出版社:機械工業出版社 出版時間:2011年06月 
"目錄 preface iii index of applications xvii part onevariation 1introduction 1.1what is statistics? 1.2previews 1.3how to use this book92data 2.1data tables 2.2categorical and numerical data 2.3recoding and aggregation 2.4time series 2.5further attributes of data chapter summary 3describing categorical datapreface iii index of applications xvii part onevariation 1introduction 1.1what is statistics? 1.2previews 1.3how to use this book92data 2.1data tables 2.2categorical and numerical data 2.3recoding and aggregation 2.4time series 2.5further attributes of data chapter summary 3describing categorical data 3.1looking at data 3.2charts of categorical data 3.3the area principle 3.4mode and median chapter summary 4describing numerical data 4.1summaries of numerical variables 4.2histograms and the distribution of numerical data 4.3boxplot 4.4shape of a distribution 4.5epilog chapter summary 5association between categorical variables 5.1contingency tables 5.2lurking variables and simpson’s paradox 5.3strength of association chapter summary 6association between quantitative variables 6.1scatterplots 6.2association in scatterplots 6.3measuring association 6.4summarizing association with a line 6.5spurious correlation chapter summary statistics in action casefinancial time series statistics in action caseexecutive compensation parttwo probability 7probability 7.1from data to probability 7.2rules for probability 7.3independent events chapter summary 8conditional probability 8.1from tables to probabilities 8.2dependent events 8.3organizing probabilities 8.4order in conditional probabilities chapter summary 9random variables 9.1random variables 9.2properties of random variables 9.3properties of expected values 9.4comparing random variables chapter summary 10association between random variables 10.1portfolios and random variables 10.2joint probability distribution 10.3sums of random variables 10.4dependence between random variables 10.5iid random variables 10.6weighted sums chapter summary 11probability models for counts 11.1random variables for counts 11.2binomial model 11.3properties of binomial random variables 11.4poisson model chapter summary 12the normal probability model 12.1normal random variable 12.2the normal model 12.3percentiles 12.4departures from normality chapter summary statistics in action casemanaging financial risk statistics in action casemodeling sampling variation part three inference 13samples and surveys 13.1two surprising properties of sampling 13.2variation 13.3alternative sampling methods 13.4checklist for surveys chapter summary 14sampling variation and quality 14.1sampling distribution of the mean 14.2control limits 14.3using a control chart 14.4control charts for variation chapter summary 15confidence intervals 15.1ranges for parameters 15.2confidence interval for the mean 15.3interpreting confidence intervals 15.4manipulating confidence intervals 15.5margin of error chapter summary 16statistical tests 16.1concepts of statistical tests 16.2testing the proportion 16.3testing the mean 16.4other properties of tests chapter summary 17alternative approaches to inference 17.1a confidence interval for the median 17.2transformations 17.3prediction intervals 17.4proportions based on small samples chapter summary 18comparison 18.1data for comparisons 18.2two-sample t-test 18.3confidence interval for the difference 18.4other comparisons chapter summary statistics in action caserare events statistics in action casetesting association part four regression models 19linear patterns 19.1fitting a line to data 19.2interpreting the fitted line 19.3properties of residuals 19.4explaining variation 19.5conditions for simple regression chapter summary 20curved patterns 20.1detecting nonlinear patterns 20.2transformations 20.3reciprocal transformation 20.4logarithm transformation chapter summary 21the simple regression model 21.1the simple regression model 21.2conditions for the simple regression model 21.3inference in regression 21.4prediction intervals chapter summary 22regression diagnostics 22.1problem 1:changing variation 22.2problem 2: leveraged outliers 22.3problem 3:dependent errors and time series chapter summary 23multiple regression 23.1the multiple regression model 23.2interpreting multiple regression 23.3checking conditions 23.4inference in multiple regression 23.5steps in fitting a multiple regression chapter summary 24building regression models 24.1identifying explanatory variables 24.2collinearity 24.3removing explanatory variables chapter summary 25categorical explanatory variables 25.1two-sample comparisons 25.2analysis of covariance 25.3checking conditions 25.4interactions and inference 25.5regression with several groups chapter summary 26analysis of variance 26.1comparing several groups 26.2inference in anova regression models 26.3multiple comparisons 26.4groups of different size chapter summary 27time series 27.1decomposing a time series 27.2regression models 27.3checking the model chapter summary statistics in action caseanalyzing experiments statistics in action caseautomated modeling appendix: tables answersa- photo acknowledgmentsc- indexi-
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