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Relevant bibliographies by topics / Test de Brown-Forsythe

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Academic literature on the topic 'Test de Brown-Forsythe'

Author: Grafiati

Published: 11 January 2025

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Journal articles on the topic "Test de Brown-Forsythe"

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Algina, James, R. Clifford Blair, and William T. Coombs. "A Maximum Test for Scale: Type I Error Rates and Power." Journal of Educational and Behavioral Statistics 20, no. 1 (1995): 27–39. http://dx.doi.org/10.3102/10769986020001027.

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A maximum test in which the test statistic is the more extreme of the Brown-Forsythe and O’Brien’s test statistics is developed. Estimated Type I error rates and power are presented for the Brown-Forsythe test, O’Brien’s test, and the maximum test. For the conditions included in the study, Type I error rates for the maximum test are near the nominal level. In all conditions, the power of the maximum test tended to be equal to or greater than that of the test—O’Brien or Brown-Forsythe—that had the larger power.

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Algina, James, Stephen Olejnik, and Romer Ocanto. "Type I Error Rates and Power Estimates for Selected Two-Sample Tests of Scale." Journal of Educational Statistics 14, no. 4 (1989): 373–84. http://dx.doi.org/10.3102/10769986014004373.

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Estimated Type I error rates and power are reported for a modified Fligner-Killeen test, O’Brien’s test, O’Brien’s test using Welch’s modified ANOVA, the Brown-Forsythe test, and two tests developed by Tiku. Normal and nonnormal distributions and a two-group design were investigated. O’Brien’s test and the Brown-Forsythe test had estimated Type I error rates near the nominal level for all conditions investigated. To maximize power when the sample sizes are equal, O’Brien’s test should be used with platykurtic distributions and the Brown-Forsythe test with leptokurtic distributions. Either test

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Olejnik, Stephen F., and James Algina. "Type I Error Rates and Power Estimates of Selected Parametric and Nonparametric Tests of Scale." Journal of Educational Statistics 12, no. 1 (1987): 45–61. http://dx.doi.org/10.3102/10769986012001045.

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Estimated Type I error rates and power are reported for the Brown-Forsythe, O’Brien, Klotz, and Siegel-Tukey procedures. The effect of aligning the data, by using deviations from group means or group medians, is investigated for the latter two tests. Normal and non-normal distributions, equal and unequal sample-size combinations, and equal and unequal means are investigated for a two-group design. No test is robust and most powerful for all distributions, however, using O’Brien’s procedure will avoid the possibility of a liberal test and provide power almost as large as what would be provided

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Chen, Dechang, Zhenqiu Liu, Xiaobin Ma, and Dong Hua. "Selecting Genes by Test Statistics." Journal of Biomedicine and Biotechnology 2005, no. 2 (2005): 132–38. http://dx.doi.org/10.1155/jbb.2005.132.

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Gene selection is an important issue in analyzing multiclass microarray data. Among many proposed selection methods, the traditional ANOVA F test statistic has been employed to identify informative genes for both class prediction (classification) and discovery problems. However, the F test statistic assumes an equal variance. This assumption may not be realistic for gene expression data. This paper explores other alternative test statistics which can handle heterogeneity of the variances. We study five such test statistics, which include Brown-Forsythe test statistic and Welch test statistic.

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Ramsey, Philip H. "Testing Variances in Psychological and Educational Research." Journal of Educational Statistics 19, no. 1 (1994): 23–42. http://dx.doi.org/10.3102/10769986019001023.

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A review of the literature has shown that robust procedures for testing variances have become available. The two best procedures are one proposed by O’Brien (1981) and another by Brown and Forsythe (1974). An examination of these procedures for a wide variety of populations confirms their robustness and indicates that optimal power can usually be obtained by applying a test for kurtosis to aid in the decision between these two procedures.

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Keselman, H. J., and Rand R. Wilcox. "The 'improved' brown and forsythe test for mean equality: some things can't be fixed." Communications in Statistics - Simulation and Computation 28, no. 3 (1999): 687–98. http://dx.doi.org/10.1080/03610919908813572.

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Choirin, Ajeng, Taufik Hidayat, and Aris Nugroho. "DISTANCE TRAINING OF DENTAL AND ORAL THERAPIST FUNCTIONAL POSITIONS AS AN EFFORT INCREASED KNOWLEDGE OF DENTAL AND ORAL HEALTH CARE SERVICES." JDHT Journal of Dental Hygiene and Therapy 4, no. 1 (2023): 50–56. http://dx.doi.org/10.36082/jdht.v4i1.1005.

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Background: Dental and Oral Therapist Functional Positions from CPNS formation are required to attend the training of the Dental and Oral Therapist Functional Positions first appointment in accordance with applicable regulations. Bapelkes Semarang as a training unit of the Ministry of Health held a Distance Training for 4 batches of Dental and Oral Therapists Functional Positions in 2022. The training aims to increase the knowledge of trainees in carrying out dental and oral health care. Objective: This study aims to analyze the effectiveness of Distance Training of Dental and Oral Therapist F

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Erps, Ryan C., and Kimihiro Noguchi. "A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes." Journal of Educational and Behavioral Statistics 45, no. 4 (2019): 403–25. http://dx.doi.org/10.3102/1076998619883874.

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A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown–Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study demonstrates that the proposed test is robust to small or unequal sample sizes across many distributions. Moreover, careful exploratory analysis provides a new method for calculating the implicit association test scores for reaction time data with multiplica

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Denkowska, Sabina, Kamil Fijorek, Marcin Salamaga, and Andrzej Sokołowski. "Empiryczna ocena mocy testów dla wielu wariancji." Przegląd Statystyczny. Statistical Review 2009, no. 3-4 (2009): 26–39. http://dx.doi.org/10.59139/ps.2009.03-04.2.

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Some statistical tests, for example the analysis of variance, assume that variances are equal across groups or samples. Tests for homogeneity of variances can be used to verify that assumption and for pooling of data from different sources to yield an improved estimated variance. Tests for homogeneity of variances can be used usually under assumption of normal distributions or nearly normal distributions. In this paper some tests for homogeneity of variances are examined under the null hypothesis and under the alternative, for various sample sizes, for various symmetric and asymmetric distribu

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Ma, Weijie, Yan Kang, and Songbai Song. "Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China." Entropy 22, no. 1 (2019): 38. http://dx.doi.org/10.3390/e22010038.

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The study on the complexity of streamflow has guiding significance for hydrologic simulation, hydrologic prediction, water resources planning and management. Utilizing monthly streamflow data from four hydrologic control stations in the mainstream of the Weihe River in China, the methods of approximate entropy, sample entropy, two-dimensional entropy and fuzzy entropy are introduced into hydrology research to investigate the spatial distribution and dynamic change in streamflow complexity. The results indicate that the complexity of the streamflow has spatial differences in the Weihe River wat

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Dissertations / Theses on the topic "Test de Brown-Forsythe"

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Su, Xun, and Mei Ting Cheung. "Day-of-the-week eects in stock market data." Thesis, KTH, Matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103863.

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The purpose of this thesis is to investigate day-of-the-week effects for stock index returns. The investigations include analysis of means and variances as well as return-distribution properties such as skewness and tail behavior. Moreover, the existences of conditional day-of-the-week effects, depending on the outcome of returns from the previous week, are analyzed. Particular emphasis is put on determining useful testing procedures for differences in variance in return data from different weekdays. Two time series models, AR and GARCH(1,1), are used to find out if any weekday's mean return i

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Gendre, Blandine. "Recherche agnostique d'effets génétiques non additifs à partir de données génétiques pan-génomiques : application à l'étude de facteurs de la coagulation." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0324.

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Les études d'association pan-génomiques (GWAS) ont révolutionné ces 15 dernières années la recherche en génétique humaine en permettant l'identification de milliers de variants génétiques associés à des maladies complexes comme les maladies cardiovasculaires et des traits biologiques comme des facteurs de la coagulation. Toutefois, ces études reposent principalement sur des modèles additifs qui ne permettent pas de capturer toute la complexité des mécanismes génétiques qui peuvent être mis en jeu. Les interactions entre gènes (épistasie), entre gènes et facteurs environnementaux ainsi que les

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Book chapters on the topic "Test de Brown-Forsythe"

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Ferguson, Sarah. "Comparison of Student Achievement and Problem-Solving Techniques for Integration Between Online and Face-to-Face Calculus Courses." In Research Anthology on Remote Teaching and Learning and the Future of Online Education. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7540-9.ch093.

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Understanding the learning online students acquire through online course experiences is important as online course options and availability continue to expand. This study seeks to compare problem-solving techniques and course learning outcomes of Calculus students through the comparison of work completed by online and face-to-face Calculus students. Four assessment questions, regarding integration, will be reviewed in an effort to distinguish commonalities and/or differences in understanding and problem-solving strategies deployed by online and face-to-face Calculus students. Statistical analyses of question scores will include usage of Levene's test, Welch test, Brown-Forsythe test, and F-test. A qualitative analysis will also be conducted to analyze problem-solving strategies used by the online and face-to-face Calculus students.

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Ferguson, Sarah. "Comparison of Student Achievement and Problem-Solving Techniques for Integration Between Online and Face-to-Face Calculus Courses." In Handbook of Research on Online Pedagogical Models for Mathematics Teacher Education. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1476-4.ch010.

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Understanding the learning online students acquire through online course experiences is important as online course options and availability continue to expand. This study seeks to compare problem-solving techniques and course learning outcomes of Calculus students through the comparison of work completed by online and face-to-face Calculus students. Four assessment questions, regarding integration, will be reviewed in an effort to distinguish commonalities and/or differences in understanding and problem-solving strategies deployed by online and face-to-face Calculus students. Statistical analyses of question scores will include usage of Levene's test, Welch test, Brown-Forsythe test, and F-test. A qualitative analysis will also be conducted to analyze problem-solving strategies used by the online and face-to-face Calculus students.

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