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Numerical issues in statistical computing for the social scientist / Micah Altman, Jeff Gill, Michael P. McDonald.

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At last--a social scientist's guide through the pitfalls of modern statistical computing. 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 seeks to p...

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Bibliographic Details
Online Access: Full Text (via EBSCO)
Main Author: Altman, Micah
Other Authors: Gill, Jeff, McDonald, Michael, 1967-
Format: eBook
Language:English
Published: Hoboken, NJ : Wiley, 2004.
Series:Wiley series in probability and statistics.
Subjects:
Statistics > Data processing.
Social sciences > Statistical methods > Data processing.
Table of Contents:
  • Contents
  • 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 Inverting Hessian Matrices
  • 7. Numerical Behavior of King's EI Method
  • 8. Some Details of Nonlinear Estimation
  • 9. Spatial Regression Models
  • 10. Convergence Problems in Logistic Regression
  • 11. Recommendations for Replication and Accurate Analysis
  • Bibliography.

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