Numerical issues in statistical computing for the social scientist /

Numerical issues in statistical computing for the social scientist /

"Numerical Issues in Statistical Computing for the Social Scientist seeks to provide 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 an...

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Bibliographic Details
Main Author: Altman, Micah
Other Authors: Gill, Jeff, McDonald, Michael, 1967-
Format: Book
Language:English
Published: Hoboken, NJ : Wiley-Interscience, c2004.
Series:Wiley series in probability and statistics
Subjects:
Statistics > Data processing.
Social sciences > Statistical methods > Data processing.
Online Access:Publisher description
Table of contents
Contributor biographical information
Table of Contents:
  • 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 / Jeff Gill and 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.

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