Testing for a Monotone Trend in a Modulated Renewal Process

Abstract

In examining point processes which are overdispersed with respect to a Poisson process, there is a problem of discriminating between trends and the appearance in data of sequences of very long intervals. In this case the standard robust methods for trend analysis based on log transforms and regression techniques perform very poorly, and the standard exact test for a monotone trend derived for modulated Poisson processes is not robust with respect to its distribution theory when the underlying process is non-Poisson. However, experience with data and an examination of the departures from the Poisson distribution theory suggest a modification to the standard test for trend, both for modulated renewal and general point processes.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1973
Accession Number
ADA001265

Entities

People

  • David W. Robinson
  • Peter W. Lewis

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Analysis
  • Data Science
  • Distribution Theory
  • Economic Forecasting
  • Information Science
  • Intervals
  • Mathematics
  • Military Research
  • Normal Distribution
  • Numbers
  • Probability
  • Random Variables
  • Security
  • Sequences
  • Simulations
  • Standards
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.