Numerical issues in statistical computing for the social scientist社会科学家统计计算的数值问题
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作者： Micah Altman 著
出 版 社： 吉林长白山
出版时间： 2003-12-1字数：版次： 1页数： 323印刷时间： 2003/12/010开本： 16开印次： 1纸张： 胶版纸I S B N ： 9780471236337包装： 精装编辑推荐
作者介绍：MICAH ALTMAN
MICAH ALTMAN is Associate Director of the Harvard-MIT Data Center in Cambridge, Massachusetts.
内容简介
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.
目录
Preface.
1.Introduction: Consequences of Numerical Inaccuracy.
2.Sources of Inaccuracy in Statistical Computation.
3.Evaluating Statistical Software.
4.Robust Inference.
5.Numerical Issues in Markov Chain Monte Carlo Estimation.
6.Numerical Issues Involved in Hessian Matrices (Jeff Gill & Gary King).
7.Numerical Behavior of King's EI Method.
8.Some Details of Nonlinear Estimation (B.D.McCullough).
9.Spatial Regression Models (James P.LeSage).
10.Convergence Problems in Logistic Regression (Paul Allison).
11.Recommendations for Replication and Accurate Analysis.
Bibliography.
Author Index.
Subject Index.
