Identification Problems in the Exponential Family.

Abstract

This report consider identification problems for members of the exponential family, applying the results to the density of the logistic model for life table data. For this model when are the maximum likelihood estimates for the model parameters unique; and what type of inferences may be made if the maximum likelihood estimates are not unique.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA059908

Entities

People

  • Robert Patrick Kelley

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Air Resistance
  • Analysis Of Variance
  • Asymptotic Normality
  • Cancer
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Science
  • Maximum Likelihood Estimation
  • Neoplasms
  • Probability
  • Statistical Samples
  • Statistics
  • Theorems
  • Time Intervals

Fields of Study

  • Mathematics

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Technology Areas

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