Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2023 This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy.
B. Zheng, P. Bentler
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Analysis of the characteristics of borrowers who fail to pay their liabilities on time [PDF]
Zeszyty Naukowe PTE w Zielonej Górze, 2021 The aim of the article is to analyze the characteristics of customers who fail to pay their loans on time and determine whether these features affect the lack of timely payment of their liabilities. The subject of the research is a group of 31 individual
Bernard Kokczyński
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Selecting Estimated Models Using Chi-Square Statistics [PDF]
Annales d'Économie et de Statistique, 1993 null Vuong, null Wang
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Focusing on structural features of a scenario: An activity on expected frequencies, deviations, and chi-square contributions [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 In this paper, I present a way to teach statistics by helping students reuse structural features of a problem to interpret those features. It consists of explaining concepts by presenting corresponding analogical examples following a given story ...
Chadillon-Farinacci, Véronique
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Primena Hi kvadrat neparametarskog testa u elektroenergetici u funkciji analiziranja izveštaja
BizInfo, 2023 U radu je prikazana primena neparametarskog Hi kvadrat testa na raspodelu obeležja X u elektroenergetici, kao nova metoda za analiziranje SCADA izveštaja.
Zorica Bogićević, Nenad Marković
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Algorithm to choose the appropriate test for comparison between two groups
Cancer Research, Statistics, and Treatment, 2021 The current manuscript describes the method of selection of statistical tests for comparing two groups. In this article, we discuss the factors on which the selection of tests depends and provide an algorithm for the selection of the inferential ...
Sampada B Dessai, Vijay M Patil
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Chebyshev–Edgeworth-Type Approximations for Statistics Based on Samples with Random Sizes
Mathematics, 2021 Second-order Chebyshev–Edgeworth expansions are derived for various statistics from samples with random sample sizes, where the asymptotic laws are scale mixtures of the standard normal or chi-square distributions with scale mixing gamma or inverse ...
Gerd Christoph, Vladimir V. Ulyanov
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Analysis and Allocation of Cancer-Related Genes Using Vague DNA Sequence Data
Frontiers in Genetics, 2022 To test the equality of several independent multinomial distributions, the chi-square test for count data is applied. The existing test can be applied when complete information about the data is available.
Muhammad Aslam, Mohammed Albassam
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Inferential Reasoning of Secondary School Mathematics Teachers on the Chi-Square Statistic
Mathematics, 2021 Statistics education has investigated how to promote formal inferential reasoning from informal inferential reasoning. Nevertheless, there is still a need for proposals that explore and progressively develop inferential reasoning of students and teachers.
Jesús Guadalupe Lugo-Armenta +1 more
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Second Order Chebyshev–Edgeworth-Type Approximations for Statistics Based on Random Size Samples
Mathematics, 2023 This article completes our studies on the formal construction of asymptotic approximations for statistics based on a random number of observations.
Gerd Christoph, Vladimir V. Ulyanov
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