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Books > Science & Math > Mathematics > Applied > Probability & Statistics > 0521743850
  1. Statistical Models: Theory and Practice
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  2. Statistical Models: Theory and Practice

    [0521743850]
    Delivery: 10-20 Working Days
    Customer Ratings (16 reviews)
    Price R1361.00

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Additional Information

This lively and engaging textbook 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 author, David A. Freedman, explains the basic ideas of association and regression, and takes you through the current models that link these ideas to causality. The focus is on applications of linear models, including generalized least squares and two-stage least squares, with probits and logits for binary variables. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs with sample computer programs. The book is rich in exercises, most with answers. Target audiences include advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences. 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 modeling, 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. Features of the book: • authoritative guidance from a well-known author with wide experience in teaching, research, and consulting • careful analysis of statistical issues in substantive applications • no-nonsense, direct style • versatile structure, enabling the text to be used as a text in a course, or read on its own • text that has been thoroughly class-tested at Berkeley • background material on regression and matrix algebra • plenty of exercises, most with solutions • extra material for instructors, including data sets and code for lab projects (available from Cambridge University Press) • many new exercises and examples • reorganized, restructured, and revised chapters to aid teaching and understanding

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Specifications

Country
USA
Author
David A. Freedman
Binding
Paperback
Brand
Brand: Cambridge University Press
EAN
9780521743853
Edition
2
Feature
Used Book in Good Condition
ISBN
0521743850
IsEligibleForTradeIn
1
Label
Cambridge University Press
Manufacturer
Cambridge University Press
NumberOfItems
1
NumberOfPages
458
PublicationDate
2009-04-27
Publisher
Cambridge University Press
ReleaseDate
2009-06-25
Studio
Cambridge University Press
Most Helpful Customer Reviews

The late Professor David A. Freedman possessed the rare skill of being at the top of his profession in both theoretical and applied statistics. His introductory text with the simple title "Statistics" has been praised as one of the best ever written. On the other side he could write very deep mathematical books as was demonstrated in his trilogy on Markov processes and diffusions. In the real world he contributed to the application of critical thinking about the pros and cons of statistical models and was steadfast in his position against the adjustment of the decennial US Census even though most prominent statisticians stood on the other side. He did consulting which grounded him into real applications particularly in Econometrics. As a Berkeley professor he collaborated with many of the top theoretical statisticians in the world. Many of which were at Berkeley or Stanford.

I concur with the enthusiasm for this book that is shown by the other 4 customer reviews... Read more
This book is a great balance between intuitive examples and solid mathematical theories. I hope I could read this books several years ago. During my several years' research experience, I made many mistakes and actually most of them are well discussed in this book. Also, for one of my recent research topic, this book provided me with very direct solution and great help!

I would recommend this book to anyone who wants a solid background with statistical modeling.
Clear, concise coverage of core statistical topics. Lots of examples to work through, with answers to most of them included.
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