Inference for goodness-of-fit problems with nuisance parameters

DOI10.1016/0378-3758(84)90003-XzbMath0562.62073OpenAlexW147622252MaRDI QIDQ1057021

C. B. Bell

Publication date: 1984

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(84)90003-x

zbMATH Keywords

sufficient statisticsPoisson processgoodness-of-fituniform renewal processstatistical noiseWiener-Levy processbasic data transformationKolmogorov-type statisticrandomized rank statisticsSignal detection problemsSrinivasan-type statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Markov processes: hypothesis testing (62M02)

Related Items (5)

Infrence for non-negative autoregressive schemes ⋮ New Lilliefors and Srinivasan tables with applications ⋮ Algunos metodos generales para la construccion de tests parametricos y no parametricos ⋮ Inference for goodness-of-fit problems with nuisance parameters ⋮ Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inference for goodness-of-fit problems with nuisance parameters
• Some methods of constructing exact tests
• Some New Distribution-Free Statistics
• A Characterization of Multisample Distribution-Free Statistics
• An approach to testing the goodness of fit of incompletely specified distributions
• Numerical Tabulation of the Distribution of Kolmogorov's Statistic for Finite Sample Size

This page was built for publication: Inference for goodness-of-fit problems with nuisance parameters