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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Bibliographic Details
Main Author: Freedman, David 1938-2008 (Author)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 2009
Edition:Revised edition
Subjects:
Links:https://doi.org/10.1017/CBO9780511815867
https://doi.org/10.1017/CBO9780511815867
https://doi.org/10.1017/CBO9780511815867
https://doi.org/10.1017/CBO9780511815867
https://doi.org/10.1017/CBO9780511815867
Summary: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
Item Description:Ausgabevermerk aus dem Vorwort. In den Anbieterangaben als "Second edition" bezeichnet.
Online-Version erschienen: Juni 2012
Physical Description:1 Online-Ressource (xiv, 442 Seiten) Diagramme
ISBN:9780511815867
9780511601521
DOI:10.1017/CBO9780511815867

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