Life Testing and Reliability with Applications to Engineering Systems.

Abstract

The areas of research included are correlation, cu-sum tests, weak convergence, large sample approximation, moving averages, auto-regressive models, sequential tests, Wiener process approximation, asymptotic sufficiency, asymptotically most powerful tests, large sample properties of two-sample rank tests, testing between two populations by using the smallest set of observations in a combined sample, asymptotic normality of locally most powerful rank tests, inverse sampling with Markov dependence between successive Bernoulli trials, asymptotic efficient estimation, uniformly most powerful tests of independence, bivariate rank tests, testing for the equality of two systems, each consisting of two subsystems, against the alternative that each component of the second system has a stochastically larger lifetime, and inference procedures for systems of identical components where the wearout is modelled by a stress-strain formulation. (Author Modified Abstract)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
AD0758269

Entities

People

  • Richard A. Johnson

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Asymptotic Normality
  • Convergence
  • Data Science
  • Engineering
  • Information Science
  • Normality
  • Observation
  • Reliability
  • Sampling
  • Weak Convergence

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms