On null-kypothesis limiting distributions of kolmogorov-slfirnov type statistics with estinated location and scale parameters

DOI10.1080/03610927808827703zbMath0392.62032OpenAlexW2080175846MaRDI QIDQ4174093

Constance L. Wood

Publication date: 1978

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610927808827703

zbMATH Keywords

NormalityLocation ParametersScale ParametersEstimatorsKolmogorov-Smirnov StatisticsAssociated Empirical Stochastic ProcessCompletely Randomized DesignsFunctionals of Empirical ProcessLimiting Gaussian ProcessMonte Carlo Simulations of DistributionsNull-Hypothesis Limiting DistributionsSample Distribution Function

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items (2)

A Generalized Distance Multi-Sample Test of Normality With Applications to Process Control ⋮ Testing distributions in large numbers of small samples

Cites Work

• Weak convergence of the sample distribution function when parameters are estimated
• On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
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