Inference for Weibull-Type Poisson Processes (Estimation and Signal Detection).

Abstract

Signal detection is studied in the context of Weibull-type non-homogeneous Poisson processes. Inference for the one- and two-parameter cases is treated for four different sampling plans- Type I- and Type II- censoring; same-shape and same-distance sampling. Extensions of the Kolmogorov-Simirnov statistic are employed as well as techniques based on the likelihood function. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA119522

Entities

People

  • C. B. Bell
  • Seung Mok Lee

Organizations

  • San Diego State University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Background Noise
  • Data Science
  • Data Sets
  • Detection
  • Distribution Theory
  • Engineering
  • Goodness Of Fit Tests
  • Information Science
  • Intervals
  • Order Statistics
  • Random Variables
  • Sampling
  • Signal Detection
  • Statistical Samples
  • Statistics
  • Theorems
  • Time Intervals

Fields of Study

  • Mathematics

Readers

  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference