On Variant Confidence Intervals for the Parameters of a New Life Distribution

Abstract

In this paper the problem of obtaining confidence intervals and tests of hypotheses for the parameters of a new distribution derived by Birnbaum and Saunders is explored. The maximum-likelihood estimators of the shape and scale parameters are investigated and shown, for samples of size two, to be such that they cannot provide invariant confidence intervals for either of the parameters. A statistic which is asymptotically independent of the shape parameter alpha is shown to be capable of providing confidence bounds for the scale parameter beta. These bounds, however, are subsequently shown to exhibit invariance with respect to alpha only for samples of size fifty or larger. Finally, three statistics based on maximal invariants for tests and confidence sets independent of alpha are investigated in terms of accuracy of confidence bounds for (power of tests concerning beta. Percentage points of the statistics yielding the most accurate confidence bounds for beta, among those investigated, are tabulated for samples of size n, n = 2(1)5.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1971
Accession Number
AD0729199

Entities

People

  • Nancy R. Mann
  • Sam C. Saunders

Tags

Communities of Interest

  • C4I
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Applied Mathematics
  • California
  • Department Of Defense
  • Distribution Functions
  • Equations
  • Estimators
  • Hypotheses
  • Intervals
  • Maximum Likelihood Estimation
  • Monotone Functions
  • Normal Distribution
  • Probability
  • Random Variables
  • Statistics
  • United States

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.