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Statistical models : theory and practice /

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exe...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Freedman, David, 1938-2008
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Cambridge University Press, 2009.
Edición:2nd ed.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. 
505 0 |a Observed studies and experiments -- The regression line -- Matrix algebra -- Multiple regression -- Multiple regression: Special topics -- Path models -- Maximum likelihood -- The bootstrap -- Simultaneous equations -- Issues in statistical modeling. 
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