A new set of tools for goodness-of-fit validation

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Publication date: 30 August 2024

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

model validation smooth test selection rule data driven test Chi-square test graphical inference PP plot comparison curve diagnostic component

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Graphical methods in statistics (62A09)

Cites Work

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A goodness-of-fit test for elliptical distributions with diagnostic capabilities
Weighted correlation tests for location-scale families
Data-driven smooth tests for a location-scale family revisited
On the asymptotic power of the two-sided Kolmogorov-Smirnov test
Decompositions of Pearson's chi-squared test
Comparing distributions
Tests of goodness of fit based on the \(L_2\)-Wasserstein distance
Vanishing shortcoming and asymptotic relative efficiency.
Global power functions of goodness of fit tests.
Nonparametric tests for stochastic ordering
Informative goodness-of-fit for multivariate distributions
A permutation test for the two-sample right-censored model
Global and local two-sample tests via regression
Quantile probability and statistical data modeling
Weak convergence of the sample distribution function when parameters are estimated
An automatic portmanteau test for serial correlation
A chi-square goodness-of-fit test for continuous distributions against a known alternative
Two-Sample Test Against One-Sided Alternatives
A Smooth Test of Goodness-of-Fit for Growth Curves and Monotonic Nonlinear Regression Models
Testing for Lack of Fit in Inverse Regression—with Applications to Biophotonic Imaging
Consistent Model Selection and Data-Driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach
A Decomposition of Pearson–Fisher and Dzhaparidze–Nikulin Statistics and Some Ideas for a More Powerful Test Construction
Asymptotic Theory of Goodness of Fit Tests when Parameters are Present:A Surrey
Goodness-of-fit test statistics that dominate the Kolmogorov statistics
Data-Driven Version of Neyman's Smooth Test of Fit
Data driven chi-square test for uniformity with unequal cells
Data-Driven Rank Tests for Independence
Goodness‐of‐fit tests of normality for the innovations in ARMA models
The Sensitivity of Chi-Squared Goodness-of-Fit Tests to the Partitioning of Data
Data driven versions of pearson's chisquare test for uniformity
Intermediate efficiency of some weighted goodness-of-fit statistics
Intermediate efficiency of tests under heavy-tailed alternatives
BET on Independence
Detection of non-Gaussianity
Generalised Smooth Tests of Goodness of Fit Utilising L‐moments
The Power to See: A New Graphical Test of Normality
Pairwise nonlinear dependence analysis of genomic data

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