Log in

Relevant bibliographies by topics / Chi square tests / Journal articles

To see the other types of publications on this topic, follow the link: Chi square tests.

Journal articles on the topic 'Chi square tests'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Chi square tests.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ingster, Yu I. "Adaptive chi-square tests." Journal of Mathematical Sciences 99, no. 2 (2000): 1110–19. http://dx.doi.org/10.1007/bf02673632.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Nihan, Sölpük Turhan. "Karl Pearsons chi-square tests." Educational Research and Reviews 15, no. 9 (2020): 575–80. http://dx.doi.org/10.5897/err2019.3817.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Nowacki, Amy. "Chi-square and Fisher’s exact tests." Cleveland Clinic Journal of Medicine 84, no. 9 suppl 2 (2017): e20-e25. http://dx.doi.org/10.3949/ccjm.84.s2.04.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Ermakov, M. S. "Asymptotic Minimaxity of Chi-Square Tests." Theory of Probability & Its Applications 42, no. 4 (1998): 589–610. http://dx.doi.org/10.1137/s0040585x97976441.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Schober, Patrick, and Thomas R. Vetter. "Chi-square Tests in Medical Research." Anesthesia & Analgesia 129, no. 5 (2019): 1193. http://dx.doi.org/10.1213/ane.0000000000004410.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

MaCurdy, Thomas E., and Keunkwan Ryu. "Equivalence results in chi-square tests." Economics Letters 80, no. 3 (2003): 329–36. http://dx.doi.org/10.1016/s0165-1765(03)00124-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Gagunashvili, N. D. "Chi-square tests for comparing weighted histograms." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 614, no. 2 (2010): 287–96. http://dx.doi.org/10.1016/j.nima.2009.12.037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Andrews, Donald W. K. "Chi-square diagnostic tests for econometric models." Journal of Econometrics 37, no. 1 (1988): 135–56. http://dx.doi.org/10.1016/0304-4076(88)90079-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Greenwood, P., and M. S. Nikulin. "Application of tests of chi-square type." Journal of Soviet Mathematics 43, no. 6 (1988): 2776–91. http://dx.doi.org/10.1007/bf01129892.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Robin, Jean-Marc, and Richard J. Smith. "TESTS OF RANK." Econometric Theory 16, no. 2 (2000): 151–75. http://dx.doi.org/10.1017/s0266466600162012.

Full text

Abstract:

This paper considers tests for the rank of a matrix for which a root-T consistent estimator is available. However, in contrast to tests associated with the minimum chi-square and asymptotic least squares principles, the estimator's asymptotic variance matrix is not required to be either full or of known rank. Test statistics based on certain estimated characteristic roots are proposed whose limiting distributions are a weighted sum of independent chi-squared variables. These weights may be simply estimated, yielding convenient estimators for the limiting distributions of the proposed statistic

APA, Harvard, Vancouver, ISO, and other styles

11

Andrews, Donald W. K. "Chi-Square Diagnostic Tests for Econometric Models: Theory." Econometrica 56, no. 6 (1988): 1419. http://dx.doi.org/10.2307/1913105.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Oosterhoff, J. "THE CHOICE OF CELLS IN CHI–SQUARE TESTS." Statistica Neerlandica 39, no. 2 (1985): 115–28. http://dx.doi.org/10.1111/j.1467-9574.1985.tb01132.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Lemeshko, B. Yu. "Chi-Square-Type Tests for Verification of Normality." Measurement Techniques 58, no. 6 (2015): 581–91. http://dx.doi.org/10.1007/s11018-015-0759-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Wilson, Jeffrey R. "Chi-Square Tests for Overdispersion with Multiparameter Estimates." Applied Statistics 38, no. 3 (1989): 441. http://dx.doi.org/10.2307/2347732.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

S., Valarmathi, Hemapriya A.S, and Jasmine S. Sundar. "CHI-SQUARE TESTS: A QUICK GUIDE FOR HEALTH RESEARCHERS." International Journal of Advanced Research 12, no. 10 (2024): 1214–22. http://dx.doi.org/10.21474/ijar01/19746.

Full text

Abstract:

Pearsons chi-square (Î§Â²) tests are essential nonparametric statistical tools for analyzing associations among categorical data, making them crucial for research involving non-numeric variables. These tests are widely utilized in various research fields due to their independence from normal distribution assumptions. Chi-square tests are utilized to assess whether there is a significant association between groups, populations, or criteria, and to examine how closely observed data distributions align with expected ones. The three primary types of chi-square tests are: the Goodness-of-Fit test,

APA, Harvard, Vancouver, ISO, and other styles

16

Gorsuch, Richard L., and Curtis Lehmann. "Chi-square and F Ratio: Which should be used when?" Journal of Methods and Measurement in the Social Sciences 8, no. 2 (2018): 58–71. http://dx.doi.org/10.2458/v8i2.22990.

Full text

Abstract:

Approximations for Chi-square and F distributions can both be computed to provide a p-value, or probability of Type I error, to evaluate statistical significance. Although Chi-square has been used traditionally for tests of count data and nominal or categorical criterion variables (such as contingency tables) and F ratios for tests of non-nominal or continuous criterion variables (such as regression and analysis of variance), we demonstrate that either statistic can be applied in both situations. We used data simulation studies to examine when one statistic may be more accurate than the other

APA, Harvard, Vancouver, ISO, and other styles

17

Iglesias, José A., Agapito Ledezma, Araceli Sanchis, and Gal A. Kaminka. "A plan classifier based on Chi-square distribution tests." Intelligent Data Analysis 15, no. 2 (2011): 131–49. http://dx.doi.org/10.3233/ida-2010-0460.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Vuong, Quang H., and Weiren Wang. "Minimum chi-square estimation and tests for model selection." Journal of Econometrics 56, no. 1-2 (1993): 141–68. http://dx.doi.org/10.1016/0304-4076(93)90104-d.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Makambi, Kepher. "Weighted inverse chi-square method for correlated significance tests." Journal of Applied Statistics 30, no. 2 (2003): 225–34. http://dx.doi.org/10.1080/0266476022000023767.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Cressie, Noel, and F. C. Drost. "Asymptotics for Generalized Chi-Square Goodness-of-Fit Tests." Journal of the Royal Statistical Society. Series A (Statistics in Society) 152, no. 2 (1989): 258. http://dx.doi.org/10.2307/2982927.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Dunkl, E., O. Ludwig, and R. Lotz. "Tables of Bonferroni-limits for Simultaneous Chi-square Tests." Biometrical Journal 32, no. 5 (2007): 555–74. http://dx.doi.org/10.1002/bimj.4710320507.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Berry, Kenneth J., and Paul W. Mielke. "Monte Carlo comparisons of the asymptotic chi-square and likelihood-ratio tests with the nonasymptotic chi-square tests for sparse r × c tables." Psychological Bulletin 103, no. 2 (1988): 256–64. http://dx.doi.org/10.1037/0033-2909.103.2.256.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

García-Pérez, A. "Chi-Square Tests Under Models Close to the Normal Distribution." Metrika 63, no. 3 (2006): 343–54. http://dx.doi.org/10.1007/s00184-005-0024-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Kim, Joo Han. "Chi-Square Goodness-of-Fit Tests for Randomly Censored Data." Annals of Statistics 21, no. 3 (1993): 1621–39. http://dx.doi.org/10.1214/aos/1176349275.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Habib, M. G., and D. R. Thomas. "Chi-Square Goodness-if-Fit Tests for Randomly Censored Data." Annals of Statistics 14, no. 2 (1986): 759–65. http://dx.doi.org/10.1214/aos/1176349953.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Voloshko, Valeriy A., and Egor V. Vecherko. "New upper bounds for noncentral chi-square cdf." Journal of the Belarusian State University. Mathematics and Informatics, no. 1 (March 31, 2020): 70–74. http://dx.doi.org/10.33581/2520-6508-2020-1-70-74.

Full text

Abstract:

Some new upper bounds for noncentral chi-square cumulative density function are derived from the basic symmetries of the multidimensional standard Gaussian distribution: unitary invariance, components independence in both polar and Cartesian coordinate systems. The proposed new bounds have analytically simple form compared to analogues available in the literature: they are based on combination of exponents, direct and inverse trigonometric functions, including hyperbolic ones, and the cdf of the one dimensional standard Gaussian law. These new bounds may be useful both in theory and in applica

APA, Harvard, Vancouver, ISO, and other styles

27

Berry, Kenneth J., and Paul W. Mielke. "Subroutines for Computing Exact CHI-Square and Fisher's Exact Probability Tests." Educational and Psychological Measurement 45, no. 1 (1985): 153–59. http://dx.doi.org/10.1177/0013164485451016.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Quine, M. P., and J. Robinson. "Efficiencies of Chi-Square and Likelihood Ratio Goodness-of-Fit Tests." Annals of Statistics 13, no. 2 (1985): 727–42. http://dx.doi.org/10.1214/aos/1176349550.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Rao, J. N. K., and A. J. Scott. "On Simple Adjustments to Chi-Square Tests with Sample Survey Data." Annals of Statistics 15, no. 1 (1987): 385–97. http://dx.doi.org/10.1214/aos/1176350273.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Winterstein, Scott R. "Chi-Square Tests for Intrabrood Independence When Using the Mayfield Method." Journal of Wildlife Management 56, no. 2 (1992): 398. http://dx.doi.org/10.2307/3808842.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Sutrick, Kenneth H. "Asymptotic power comparison of the chi-square and likelihood ratio tests." Annals of the Institute of Statistical Mathematics 38, no. 3 (1986): 503–11. http://dx.doi.org/10.1007/bf02482537.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Boldin, M. V. "On Symmetrized Chi-Square Tests in Autoregression with Outliers in Data." Theory of Probability & Its Applications 68, no. 4 (2024): 559–69. http://dx.doi.org/10.1137/s0040585x97t991623.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Berry, Mari, Brian Peacock, Bobbie Foote, and Lawrence Leemis. "Visual Assessment vs. Statistical Goodness of Fit Tests for Identifying Parent Population." Proceedings of the Human Factors Society Annual Meeting 32, no. 7 (1988): 460–64. http://dx.doi.org/10.1177/154193128803200701.

Full text

Abstract:

Statistical tests are used to identify the parent distribution corresponding to a data set. A human observer looking at a histogram can also identify a probability distribution that models the parent distribution. The accuracy of a human observer was compared to the chi-square test for discrete data and the Kolmogorov-Smirnov and chi-square tests for continuous data. The human observer proved more accurate in identifying continuous distributions and the chi-square test proved to be superior in identifying discrete distributions. The effect of sample size and number of intervals in the histogra

APA, Harvard, Vancouver, ISO, and other styles

34

Brown, Mark, and Marcia H. Flicker. "Chi-Square Goodness of Fit: A Failure Rate Perspective." Probability in the Engineering and Informational Sciences 5, no. 3 (1991): 273–84. http://dx.doi.org/10.1017/s0269964800002084.

Full text

Abstract:

Employing a failure rate approach, we propose a test statistic, , for the classic goodness-of-fit problem. It is then shown that a variation of , obtained by replacing observed variances by expected variances (an unwise change in our point of view), leads to the classical test statistic, x2. We argue that should be better approximated by a chi-square distribution, and thus employing , the true p−values should be closer to the nominal p−values than under x2 Various other comparisons of the two tests are made.

APA, Harvard, Vancouver, ISO, and other styles

35

Gning, Gorgui, Aladji Babacar Niang, Modou Ngom, and Gane Lo. "Moments estimators and omnibus chi-square tests for some usual probability laws." Afrika Statistika 16, no. 4 (2021): 3061–94. http://dx.doi.org/10.16929/as/2021.3061.195.

Full text

Abstract:

For many probability laws, in parametric models, the estimation of the parameters can be done in the frame of the maximum likelihood method, or in the frame of moment estimation methods, or by using the plug-in method, etc. Usually, for estimating more than one parameter, the same frame is used. We focus on the moment estimation method in this paper. We use the instrumental tool of the functional empirical process (fep) in Lo (2016) to show how it is practical to derive, almost algebraically, the joint distribution Gaussian law and to derive omnibus chi-square asymptotic laws from it. We choos

APA, Harvard, Vancouver, ISO, and other styles

36

Koehler, Kenneth J., and Jeffrey R. Wilson. "Chi–square tests for comparing vectors of proportions for several cluster samples." Communications in Statistics - Theory and Methods 15, no. 10 (1986): 2977–90. http://dx.doi.org/10.1080/03610928608829290.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Gagunashvili, N. D. "Chi-square goodness of fit tests for weighted histograms. Review and improvements." Journal of Instrumentation 10, no. 05 (2015): P05004. http://dx.doi.org/10.1088/1748-0221/10/05/p05004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Zhang, Qingbua, and Michèle Basseville. "Advanced numerical computation of chi-square tests for fault detection and isolation." IFAC Proceedings Volumes 36, no. 5 (2003): 209–14. http://dx.doi.org/10.1016/s1474-6670(17)36495-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Dow, Malcolm M. "Saving the Theory: On Chi-Square Tests With Cross-Cultural Survey Data." Cross-Cultural Research 27, no. 3-4 (1993): 247–76. http://dx.doi.org/10.1177/106939719302700305.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Quessy, Jean-François, Louis-Paul Rivest, and Marie-Hélène Toupin. "Goodness-of-fit tests for the family of multivariate chi-square copulas." Computational Statistics & Data Analysis 140 (December 2019): 21–40. http://dx.doi.org/10.1016/j.csda.2019.04.008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Amemiya, Yasuo, and T. W. Anderson. "Asymptotic Chi-Square Tests for a Large Class of Factor Analysis Models." Annals of Statistics 18, no. 3 (1990): 1453–63. http://dx.doi.org/10.1214/aos/1176347760.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Wright, Bryan E. "Use of chi-square tests to analyze scat-derived diet composition data." Marine Mammal Science 26, no. 2 (2010): 395–401. http://dx.doi.org/10.1111/j.1748-7692.2009.00308.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Markowski, Edward P., and Carol A. Markowski. "A Systematic Method for Teaching Post Hoc Analysis of Chi-Square Tests." Decision Sciences Journal of Innovative Education 7, no. 1 (2009): 59–65. http://dx.doi.org/10.1111/j.1540-4609.2008.00202.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Hosmane, B. S. "Improved likelihood ratio tests and pearson chi-square tests for independence in two dimensional contingency tables." Communications in Statistics - Theory and Methods 15, no. 6 (1986): 1875–88. http://dx.doi.org/10.1080/03610928608829224.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

York, Kenneth M. "Disparate Results in Adverse Impact Tests: The 4/5ths Rule and the Chi Square Test." Public Personnel Management 31, no. 2 (2002): 253–62. http://dx.doi.org/10.1177/009102600203100210.

Full text

Abstract:

The Uniform Guidelines on Employee Selection Procedures suggests the “4/5ths rule” for testing the outcome of selection procedures for adverse impact. The appropriate statistical test is a Chi Square testing for a significant difference between the selection ratios of the minority and majority applicants. However, the 4/5ths rule and Chi Square test do not agree 10–40% of the time depending on sample size, making it difficult for personnel managers to monitor their organization's Equal Employment Opportunity compliance. The extent of disagreement between the two tests is described, and recomme

APA, Harvard, Vancouver, ISO, and other styles

46

Jolliffe, Ian T., and Cristina Primo. "Evaluating Rank Histograms Using Decompositions of the Chi-Square Test Statistic." Monthly Weather Review 136, no. 6 (2008): 2133–39. http://dx.doi.org/10.1175/2007mwr2219.1.

Full text

Abstract:

Abstract Rank histograms are often plotted to evaluate the forecasts produced by an ensemble forecasting system—an ideal rank histogram is “flat” or uniform. It has been noted previously that the obvious test of “flatness,” the well-known χ2 goodness-of-fit test, spreads its power thinly and hence is not good at detecting specific alternatives to flatness, such as bias or over- or underdispersion. Members of the Cramér–von Mises family of tests do much better in this respect. An alternative to using the Cramér–von Mises family is to decompose the χ2 test statistic into components that correspo

APA, Harvard, Vancouver, ISO, and other styles

47

Yuan, Ke-Hai, and Wai Chan. "Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests." Psychological Methods 21, no. 3 (2016): 405–26. http://dx.doi.org/10.1037/met0000080.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Mirvaliev, M. "Chi-Square Goodness-of-Fit Tests for a Family of Multidimensional Discrete Distributions." Theory of Probability & Its Applications 34, no. 4 (1990): 728–32. http://dx.doi.org/10.1137/1134094.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Suh, Youngsuk, and Sun-Joo Cho. "Chi-Square Difference Tests for Detecting Differential Functioning in a Multidimensional IRT Model." Applied Psychological Measurement 38, no. 5 (2014): 359–75. http://dx.doi.org/10.1177/0146621614523116.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Akshay Raj, I., and C. Saraswathy. "A Study on Paternalistic Leadership Style and its Implication on Workplace Relationship." ComFin Research 12, S1-May (2024): 7–13. http://dx.doi.org/10.34293/commerce.v12is1-may.7800.

Full text

Abstract:

This study looks into how relationships at work are affected by a paternalistic leadership style. A thorough examination using regression, correlation, and chi-square tests yields a number of important conclusions. First, it has been illustrated that paternalistic authority significantly advances positive working environment connections by factually noteworthy Pearson chi-square, probability proportion chi-square, and linear-by-linear affiliation chi-square tests. Furthermore, a Spearman’s rho coefficient of 0.538 and a p-value underneath 0.001 bolster the momentous positive affiliation betwee

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!