A Study of Life-Testing Models and Statistical Analyses for the Logistic Distribution.

Abstract

Section I summarizes several methods for obtaining various useful types of models, particularly ones with U-shaped hazard functions. These models include mixed models, composite models, components in series, nonhomogeneous Poisson Processes, polynomial models and models obtained by transformations from other well-known models. Some point estimation and hypothesis testing results are given for linear and quadratic hazard function models in Section 2. In Section 3 point and interval estimation procedures based on the maximum likelihood estimators for the location and scale parameters of the logistic distribution are considered. (Author Modified Abstract)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1973
Accession Number
AD0758235

Entities

People

  • Jim Eastman
  • Lee J. Bain
  • Max Engelhardt

Organizations

  • Missouri University of Science and Technology

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Composite Materials
  • Computing-Related Activities
  • Data Science
  • Estimators
  • Information Science
  • Interdisciplinary Science
  • Intervals
  • Mathematical Analysis
  • Mathematics
  • Polynomials
  • Statistical Analysis
  • Statistical Inference
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Business Analytics
  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.