Numerical Issues in Statistical Computing for the Social Scientist

Name: Numerical Issues in Statistical Computing for the Social Scientist
SKU: 2082946
Price: 410.99 AUD
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Hardback

Series:

Wiley Series in Probability and Statistics

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Description

Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist provides readers with a unique, practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods, and how they are used in statistical packages, is essential for making accurate inferences. With the aid of key contributors from both the social and behavioral sciences, the authors have assembled a rich set of interrelated chapters designed to guide empirical social scientists through the potential minefield of modern statistical computing. Uniquely accessible and abounding in modern-day tools, tricks, and advice, the text successfully bridges the gap between the current level of social science methodology and the more sophisticated technical coverage usually associated with the statistical field.

Author Biography:

MICAH ALTMAN is Associate Director of the Harvard-MIT Data Center in Cambridge, Massachusetts. JEFF GILL is Associate Professor of Political Science at the University of California, Davis. MICHAEL P. McDONALD is Assistant Professor of Government and Politics at George Mason University in Fairfax, Virginia.

Release date Australia

January 20th, 2004

Author

Audience

Professional & Vocational

Illustrations

Drawings: 24 B&W, 0 Color

Pages

352

Series

Wiley Series in Probability and Statistics

Dimensions

162x246x22

ISBN-13

9780471236337

Product ID

2082946

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