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Statistical methods for categorical data analysis : 2nd edition | |||||
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Autor: Daniel A. Powers, Yu Xie AnotaceApplicable to graduate level social scientists, this book 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). Like the first edition, the second edition will integrate 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.A second edition was necessary due to the growth in this field. Additional material on multilevel modelling for categorical data will be included. Unlike other titles on the market, this volume offers a comprehensive presentation of many different models in a one-volume format. *Written specifically for the needs of social scientists*Contains new chapters on multilevel models, event history models, and structural equation models*Not limited to any particular statistical package*Freely accessible website includes new programs that reproduce examples covered in the book Dostupné zdroje
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