Testing for monotonicity in the intensity of a nonhomogeneous Poisson process
type: Item
instance of: scholarly article
title: Testing for monotonicity in the intensity of a nonhomogeneous Poisson process
zbMATH Open document ID: 0854.62079
DOI: 10.1016/0167-7152(95)00124-7
author: James M. Guffey
author: F. T. Wright
published in: Statistics \& Probability Letters
publication date: 1997-01-19T00:00:00Z
Mathematics Subject Classification ID: 62M02
Mathematics Subject Classification ID: 62N05
zbMATH DE Number: 927218
zbMATH Keywords: maximum likelihood estimates
zbMATH Keywords: order-restricted inferences
zbMATH Keywords: repairable systems
zbMATH Keywords: trends
zbMATH Keywords: times of occurrences
zbMATH Keywords: nonhomogeneous Poisson process
zbMATH Keywords: pseudo-likelihood ratio test
zbMATH Keywords: nonincreasing intensity
zbMATH Keywords: constant intensities
zbMATH Keywords: nondecreasing intensities
zbMATH Keywords: conditional distribution
zbMATH Keywords: approximate conditional tests
zbMATH Keywords: Monte Carlo
describes a project that uses: AS 158
describes a project that uses: AS 149
MaRDI profile type: Publication
full work available at URL: 0167-7152(95)00124-7
OpenAlex ID: W1967072731
cites work: Q3332127
cites work: A Two-Moment Chi-Square Approximation for the Statistic Log ( _ x &nbsp; / ~ x &nbsp; )
cites work: Estimating and Testing Trend in a Stochastic Process of Poisson Type
cites work: Algorithm AS 149: Amalgamation of Means in the Case of Simple Ordering
cites work: Algorithm AS 158: Calculation of the Probabilities {P(l,k)} for the Simply Ordered Alternative
cites work: Q5615180
cites work: Q4039968
cites work: Q3218851
description: scientific article; zbMATH DE number 927218