A New Goodness-of-Fit Test Based on the Laplace Statistic for a Large Class of NHPP Models

DOI10.1081/SAC-200068389zbMath1072.62102MaRDI QIDQ5697375

Jinde Wang, Jin Zhao

Publication date: 17 October 2005

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

zbMATH Keywords

nonhomogeneous Poisson process (NHPP)software reliability modelsgoodness-of-fit (GOF) test

Mathematics Subject Classification ID

Related Items (3)

Bayesian estimation of ruin probability based on NHPP claim arrivals and Inverse-Gaussian distributed claim aggregates ⋮ Generalized Confidence Interval for the Scale Parameter of the Power-Law Process ⋮ Confidence Intervals for the Scale Parameter of the Power-Law Process

Cites Work

• Unnamed Item
• Statistical methods in software engineering. Reliability and risk
• Approximation Theorems of Mathematical Statistics
• Testing goodness-of-fit for the power law process
• Goodness-of-fit tests for the power-law process
• Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
• Cpit goodness-of-fit tests for the power-law process

This page was built for publication: A New Goodness-of-Fit Test Based on the Laplace Statistic for a Large Class of NHPP Models