Statistical Methods for Categorical Data Analysis is designed as an accessible reference work and textbook about categorical data (that is, data arising from counts instead of measurement. Examples include data about birth, death, marriage, and so forth). It integrates statistical and econometric approaches to the analysis of limited and categorical dependent variables, thereby offering a practical, mathematically uncomplicated approach to the topics of modern data analysis. The volume offers a comprehensive presentation of many different models in a one-volume format (with website). Two features distinguish this book from other analyses of categorical data. First, the authors present both the transformational and latent variable approaches and so synthesize similar methods in statistical and econometric literatures. Second, the book has an applied orientation and features actual examples from social science research. The authors keep discussions of theory to a minimum.
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多變量分析:專題及論文常用的統計方法(二版)
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實務專題製作-企業研究方法的實踐(第五版) (附學習資料光碟)
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A Second Course in Statistics:Regression Analysis
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測量學實習 - 最新版 - 附贈OTAS題測系統
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大數據概論
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統計學:以SPSS For Windows為例(第五版)
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不用數字的研究:質性研究的思辯脈絡(三版)
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大數據視覺化篇
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抽樣調查方法講義與題解(二版)
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數位學習品質管理
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Cases in Systems Analysis and Design:Best Practices
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迴歸分析講義與題解
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Fuzzy Multiple Objective Decision Making
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研究方法
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圖解品管統計方法
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工業調查資料分析
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Essentials of Business Research Methods(3版)
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抽樣調查方法講義與解題
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ystems Analysis And Design:A Comprehensive Methodology with Case
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向量自我迴歸模型:計量方法與R程式
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