Cover Image

Critical issues with the Pearson's chi-square test

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gurvich, Vladimir, Naumova, Mariya
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On pairs of triangular numbers whose product is a perfect square and pairs of intervals of successive integers with equal sums of squares
by: Gurvich, Vladimir, et al.
Published: (2025)

Partitioning set $[n] = \{1, \dots, n\}$ into subsets of size at most $m$ such that all sums are powers of $m$
by: Gurvich, Vladimir, et al.
Published: (2025)

More on discrete convexity
by: Gurvich, Vladimir, et al.
Published: (2023)

New methods to compute the generalized chi-square distribution
by: Das, Abhranil
Published: (2024)

An introduction to how chi-square and classical exact tests often wildly misreport significance and how the remedy lies in computers
by: Perkins, William, et al.
Published: (2012)

Pearson Chi-squared Conditional Randomization Test
by: Javanmard, Adel, et al.
Published: (2021)

Beyond Neyman-Pearson: e-values enable hypothesis testing with a data-driven alpha
by: Grünwald, Peter
Published: (2022)

Pearson's correlation under the scope: Assessment of the efficiency of Pearson's correlation to select predictor variables for linear models
by: Attallah, Mustafa
Published: (2024)

Causal generalized linear models via Pearson risk invariance
by: Polinelli, Alice, et al.
Published: (2024)

Revamping Conformal Selection With Optimal Power: A Neyman--Pearson Perspective
by: Qin, Jing, et al.
Published: (2025)

Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
by: Fan, Jianqing, et al.
Published: (2023)

Distributed Conditional Feature Screening via Pearson Partial Correlation with FDR Control
by: Pang, Naiwen, et al.
Published: (2024)

The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis
by: Greenacre, Michael
Published: (2022)

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
by: Tian, Ye, et al.
Published: (2021)

Neyman-Pearson multiclass classification under label noise via empirical likelihood
by: Zhang, Qiong, et al.
Published: (2026)

Comparing the Pearson and Spearman Correlation Coefficients Across Distributions and Sample Sizes: A Tutorial Using Simulations and Empirical Data
by: de Winter, J. C. F., et al.
Published: (2024)

Efficient algorithms for the sensitivities of the Pearson correlation coefficient and its statistical significance to online data
by: Harary, Marc
Published: (2024)

On the statistical analysis of grouped data: when Pearson $χ^2$ and other divisible statistics are not goodness-of-fit tests
by: Algeri, Sara, et al.
Published: (2024)

A counterexample to conjecture "Catch 22"
by: Butyrin, Bogdan, et al.
Published: (2024)

The construction of augmented designs in square arrays
by: Williams, E. R., et al.
Published: (2025)

Tests for categorical data beyond Pearson: A distance covariance and energy distance approach
by: Castro-Prado, Fernando, et al.
Published: (2024)

Constrained least squares simplicial-simplicial regression
by: Tsagris, Michail
Published: (2024)

Envelope-based partial least squares in functional regression
by: Wu, Minxuan, et al.
Published: (2025)

Sensitivity of weighted least squares estimators to omitted variables
by: Wainstein, Leonard, et al.
Published: (2025)

Potential root mean square error skill score
by: Mayer, Martin János, et al.
Published: (2024)

Extended semi-Latin squares for use in field and glasshouse trials
by: Williams, E. R.
Published: (2025)

Ridge-penalised spectral least-squares estimation for point processes
by: Herrera, Miguel Martinez, et al.
Published: (2026)

Multivariate moment least-squares estimators for reversible Markov chains
by: Song, Hyebin, et al.
Published: (2023)

Profile least squares estimation in networks with covariates
by: Chandna, Swati, et al.
Published: (2024)

A penalized least squares estimator for extreme-value mixture models
by: Mourahib, Anas, et al.
Published: (2025)

The square array design
by: Bailey, R. A., et al.
Published: (2024)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in estimating the mean squared error of the least squares estimator in linear regression
by: Stolte, Marieke, et al.
Published: (2023)

Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneity
by: Zhao, Anqi, et al.
Published: (2025)

A constrained iteratively-reweighted least-squares framework for generalised linear models
by: Masselot, Pierre, et al.
Published: (2025)

Weighted least squares estimation by multivariate-dependent weights for linear regression models
by: Huang, Lei, et al.
Published: (2026)

Random Text, Zipf's Law, Critical Length,and Implications for Large Language Models
by: Berman, Vladimir
Published: (2025)

Quantum chi-squared tomography and mutual information testing
by: Flammia, Steven T., et al.
Published: (2023)

Least trimmed squares regression with missing values and cellwise outliers
by: Raymaekers, Jakob, et al.
Published: (2026)

Bartholomew's trend test -- approximated by a multiple contrast test
by: Hothorn, Ludwig A.
Published: (2024)