Data-driven smooth tests for a location-scale family revisited

DOI10.1080/15598608.2009.10411952zbMath1211.62073OpenAlexW1988377775MaRDI QIDQ715759

A. Janic, Teresa Ledwina

Publication date: 18 April 2011

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2009.10411952

zbMATH Keywords

model selectiongoodness-of-fit testSchwarz's ruletest for normalityefficient score statistictest for extreme value distribution

Mathematics Subject Classification ID

Related Items (1)

The simultaneous assessment of normality and homoscedasticity in linear fixed effects models

Cites Work

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• Moderately large deviations and expansions of large deviations for some functionals of weighted empirical processes
• Optimal goodness-of-fit tests for location-scale families of distributions based on the sum of squares of L-statistics
• Data driven smooth tests for composite hypotheses
• Some new statistics for testing hypotheses in parametric models
• J. Neyman: on the occasion of his 80th birthday
• Moderate deviations of minimum contrast estimators under contamination
• Weighted \(W\) test for normality and asymptotics a revisit of Chen--Shapiro test for normality
• Probability inequalities and limit theorems for generalized L-statistics
• Bootstrap based goodness-of-fit-tests
• Bootstrap goodness-of-fit tests with estimated parameters based on empirical transforms
• Adaptive goodness-of-fit tests in a density model
• Tailor-made tests for goodness of fit to semiparametric hypotheses
• Towards data driven selection of a penalty function for data driven Neyman tests
• Tests for departure from normality: Comparison of powers
• Data-Driven Version of Neyman's Smooth Test of Fit
• Testing Uniformity Via Log-Spline Modeling
• An alernative test for normality based on normalized spacings
• Data driven smooth tests for composite hypotheses comparison of powers
• Data-Driven Smooth Tests When the Hypothesis Is Composite
• Testing lack of fit in multiple regression
• ON SOME OPTIMALITY PROPERTIES OF FISHER-RAO SCORE FUNCTION IN TESTING AND ESTIMATION
• Data-Driven Rank Tests for Independence
• Testing the Fit of a Parametric Function
• Data-driven smooth test for a location-scale family
• Data-driven smooth tests for the extreme value distribution
• Goodness of Fit via Non-parametric Likelihood Ratios
• Linear estimates with polynomial coefficients
• On optimal asymptotic tests of composite hypotheses with several constraints
• Sur une famille de tests asymptotiques des hypothèses statistiques composées
• Robust Statistics
• Rao's score, Neyman's \(C(\alpha)\) and Silvey's LM tests: an essay on historical developments and some new results

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