Advances in Generalized Linear Mixed-Effects Models

Abstract

Analyses of applied military data is often complex for two reasons. First, many performance and health variables of interest are non-normally distributed. Second, data typically have a complex nested or partially crossed structure. Recent advances in applied statistics make it possible to address both complexities within a single unified statistical framework.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA481947

Entities

People

  • P. D. Bliese

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Active Duty
  • Algorithms
  • Biomedical Research
  • Computational Science
  • Data Science
  • Information Science
  • Language
  • Platforms
  • Psychology
  • Reaction Time
  • Sleep Deprivation
  • Small Business
  • Sparse Matrix
  • Standards
  • Statistics
  • Technology Transfer

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Strategic Security Studies