An Introduction to Categorical Data Analysis (3版)

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書名：An Introduction to Categorical Data Analysis 3/E 作者：Alan Agresti 出版社：John Wiley 出版日期：2018/11/00 ISBN：9781119405269 目錄 1 Introduction 2 Analyzing Contingency Tables 3 Generalized Linear Models 4 Logistic Regression 5 Building and Applying Logistic Regression Models 6 Multicategory Logit Models 7 Loglinear Models for Contingency Tables and Counts 8 Models for Matched Pairs 9 Marginal Modeling of Correlated, Clustered Responses 10 Random Effects: Generalized Linear Mixed Models 11 Classification and Smoothing 12 A Historical Tour of Categorical Data Analysis Appendix: Software for Categorical Data Analysis Brief Solutions to Odd-Numbered Exercises Bibliography Examples Index Subject Index

Statistical Techniques in Business and Economics(Custom Edition) (19版)

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【簡介】 From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics. The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses. What's changed: The Nineteenth Edition made several changes to the flow and organization of the text by adding the sampling distribution of the proportion to Chapter 8, moving the one- and two-sample tests of hypothesis for proportions to Chapters 10, preceding the two-sample tests of hypothesis in Chapter 11 with the F-distribution, and the revision of several Chapter introductions. Many of the calculation examples have been replaced with interpretative ones to help students understand and interpret the statistical results with more emphasis on the conceptual nature of the topics. This edition also brings a renewed recognition of diversity, equity, and inclusion to the text, exercises, and examples through an increased diversity of persons and businesses from varied geographic, ethnic, and cultural groups. 【目錄】 Ch 1 What Is Statistics? Ch 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Ch 3 Describing Data: Numerical Measures Ch 4 Describing Data: Displaying and Exploring Data Ch 5 A Survey of Probability Concepts Ch 6 Discrete Probability Distributions Ch 7 Continuous Probability Distributions Ch 8 Sampling, Sampling Methods, and the Central Limit Theorem Ch 9 Estimation and Confidence Intervals Ch10 One-Sample Tests of Hypothesis Ch11 Two-Sample Tests of Hypothesis Ch12 Analysis of Variance Ch13 Correlation and Linear Regression Ch14 Multiple Regression Analysis Ch15 Nonparametric Methods Nominal Level Hypothesis Tests Ch16 Nonparametric Methods:Analysis of Ordinal Data Ch17 Index Numbers

Statistical Techniques in Business & Economics 19/e (19版)

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Statistical Techniques in Business & Economics 作 / 譯 者 ： Douglas A. Lind,William G. Marchal,Samuel A. Wathen I S B N - 13 ： 9781266283536 I S B N - 10 ： 1266283536 類 別： 統計學 版 次： 19 版 年 份： 2024 規 格： 874 頁 出 版 商： McGraw Hill Education 內容簡介 From its origins in 1976, Statistical Techniques in Business and Economics has become a best seller, providing students across the business specialisms with an introductory survey of descriptive and inferential statistics. With a step-by-step approach and clear writing style, any student can learn and succeed in Business Statistics. The new edition includes a focus on the development of basic data analytical skills. Microsoft Excel, Minitab, and MegaStat are used throughout the text to illustrate statistical software analyses, and screen captures are used within the chapters, so the student becomes familiar with the nature of the software output. Additional resources are available online through Connect, with references or links in the text to Excel tutorials that provide users with clear demonstrations using statistical software to create graphical and descriptive statistics and analyses to test hypotheses. What's changed: The Nineteenth Edition made several changes to the flow and organization of the text by adding the sampling distribution of the proportion to Chapter 8, moving the one- and two-sample tests of hypothesis for proportions to Chapters 10, preceding the two-sample tests of hypothesis in Chapter 11 with the F-distribution, and the revision of several Chapter introductions. Many of the calculation examples have been replaced with interpretative ones to help students understand and interpret the statistical results with more emphasis on the conceptual nature of the topics. This edition also brings a renewed recognition of diversity, equity, and inclusion to the text, exercises, and examples through an increased diversity of persons and businesses from varied geographic, ethnic, and cultural groups. 目錄 Ch 1 What Is Statistics? Ch 2 Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation Ch 3 Describing Data: Numerical Measures Ch 4 Describing Data: Displaying and Exploring Data Ch 5 A Survey of Probability Concepts Ch 6 Discrete Probability Distributions Ch 7 Continuous Probability Distributions Ch 8 Sampling, Sampling Methods, and the Central Limit Theorem Ch 9 Estimation and Confidence Intervals Ch10 One-Sample Tests of Hypothesis Ch11 Two-Sample Tests of Hypothesis Ch12 Analysis of Variance Ch13 Correlation and Linear Regression Ch14 Multiple Regression Analysis Ch15 Nonparametric Methods Nominal Level Hypothesis Tests Ch16 Nonparametric Methods: Analysis of Ordinal Data Ch17 Index Numbers Ch18 Forecasting with Time Series Analysis Ch19 Statistical Process Control and Quality Management Ch20 An Introduction to Decision Theory (Online Only)