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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結構方程模式中介與干擾效果
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大數據概論
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The Statistical Analysis of Time Series
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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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Applied Linear Regression Models
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迴歸分析講義與題解
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Fundamental Statistics For The Behavioral Sciences
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數位學習品質管理
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工業調查資料分析
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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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圖解品管統計方法
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抽樣調查方法講義與題解(二版)
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進階結構方程模式
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Cases in Systems Analysis and Design:Best Practices
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資料探勘與顧客分析─Modeler應用
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Fuzzy Multiple Objective Decision Making
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A Second Course in Statistics:Regression Analysis
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抽樣理論之應用:四位教授的精華Know-how
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