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Journal articles on the topic 'Test of homogeneity'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Li, Billy Y. G., and George E. Booney. "Test of Homogeneity." Biometrics 52, no. 4 (December 1996): 1521. http://dx.doi.org/10.2307/2532867.

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2

Waldman, David A., and Bruce J. Avolio. "Homogeneity of test validity." Journal of Applied Psychology 74, no. 2 (April 1989): 371–74. http://dx.doi.org/10.1037/0021-9010.74.2.371.

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3

Brkich, D. M. "B-test of homogeneity." Microelectronics Reliability 27, no. 4 (January 1987): 639–41. http://dx.doi.org/10.1016/0026-2714(87)90008-4.

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4

Ushakov, V. G., and N. G. Ushakov. "On one test of homogeneity." Doklady Mathematics 93, no. 3 (May 2016): 310–12. http://dx.doi.org/10.1134/s106456241603025x.

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5

Flores, Ramón, Rosa Lillo, and Juan Romo. "Homogeneity test for functional data." Journal of Applied Statistics 45, no. 5 (May 4, 2017): 868–83. http://dx.doi.org/10.1080/02664763.2017.1319470.

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6

Fujii, Yoshinori. "ON HOMOGENEITY TEST USING ESTIMATING FUNCTION." Bulletin of informatics and cybernetics 26, no. 1/2 (March 1994): 101–7. http://dx.doi.org/10.5109/13436.

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7

Fearn, Tom, and Michael Thompson. "A new test for ‘sufficient homogeneity’." Analyst 126, no. 8 (2001): 1414–17. http://dx.doi.org/10.1039/b103812p.

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8

Thompson, Michael. "Is your ‘homogeneity test’ really useful?" Analytical Methods 7, no. 4 (2015): 1627–29. http://dx.doi.org/10.1039/c4ay02762k.

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9

Hayakawa, Takesi. "Test of homogeneity of multiple parameters." Journal of Statistical Planning and Inference 38, no. 3 (March 1994): 351–57. http://dx.doi.org/10.1016/0378-3758(94)90015-9.

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10

Ma, Changxing, Guogen Shan, and Song Liu. "Homogeneity Test for Correlated Binary Data." PLOS ONE 10, no. 4 (April 21, 2015): e0124337. http://dx.doi.org/10.1371/journal.pone.0124337.

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11

Skrynnikov, A. A. "A homogeneity test for several samples." Measurement Techniques 52, no. 5 (May 2009): 443–48. http://dx.doi.org/10.1007/s11018-009-9306-3.

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12

Zhao, Hai Bing. "Test homogeneity of order-restricted means." Acta Mathematica Sinica, English Series 26, no. 5 (April 15, 2010): 985–92. http://dx.doi.org/10.1007/s10114-010-6174-3.

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13

Berry, Kenneth J., and Paul W. Mielke. "An Asymmetric Test of Homogeneity of Proportions." Psychological Reports 87, no. 1 (August 2000): 259–65. http://dx.doi.org/10.2466/pr0.2000.87.1.259.

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An asymmetrical test of homogeneity of proportions possesses distinct advantages over a symmetrical test. The symmetric chi square test of homogeneity is widely employed in psychological research. An asymmetrical alternative to the chi square test of homogeneity is proposed and described.

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14

Deng, Xin Jie, Yang Sheng You, Yan Ying Chen, and Xue Mei Yang. "The Application of the Smirnov Test in the Homogeneity Test for Non-Normal Distribution Temperature Series." Advanced Materials Research 516-517 (May 2012): 530–35. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.530.

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The homogeneity test is the first stage to revise the climate records. Its accuracy will directly affect the follow-up work. The classic method SNHT (Standard Normal Homogeneity Test) can only be applied in climatic sequences obey normal distribution, but lots of non-normality climate sequences need to be examined. In this paper, the Smirnov Test was introduced to test the homogeneity of the temperature series, which is a classical method for distribution test, and it can apply for the temperature sequences obey any distribution. The homogeneity test results by testing Chongqing Municipality's temperature sequences show that: the Smirnov Test is better than SNHT

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15

Vargha, András, and Harold D. Delaney. "The Kruskal-Wallis Test and Stochastic Homogeneity." Journal of Educational and Behavioral Statistics 23, no. 2 (June 1998): 170–92. http://dx.doi.org/10.3102/10769986023002170.

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For the comparison of more than two independent samples the Kruskal-Wallis H test is a preferred procedure in many situations. However, the exact null and alternative hypotheses, as well as the assumptions of this test, do not seem to be very clear among behavioral scientists. This article attempts to bring some order to the inconsistent, sometimes controversial treatments of the Kruskal-Wallis test. First we clarify that the H test cannot detect with consistently increasing power any alternative hypothesis other than exceptions to stochastic homogeneity. It is then shown by a mathematical derivation that stochastic homogeneity is equivalent to the equality of the expected values of the rank sample means. This finding implies that the null hypothesis of stochastic homogeneity can be tested by an ANOVA performed on the rank transforms, which is essentially equivalent to doing a Kruskal-Wallis H test. If the variance homogeneity condition does not hold then it is suggested that robust ANOVA alternatives performed on ranks be used for testing stochastic homogeneity. Generalizations are also made with respect to Friedman’s G test.

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16

Liu, Li, and Wen Yang. "The Method to Test the Homogeneity of Concrete." Key Engineering Materials 633 (November 2014): 485–89. http://dx.doi.org/10.4028/www.scientific.net/kem.633.485.

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As the ultra high way and long distance pumping concrete became increasingly common, the engineers not only required the concrete have large liquidity but also increasingly concerned about the homogeneity of concrete. However, without effective and convincing method, currently the engineers had to assess and judge the homogeneity just by their sight, feel and experience. In order to test the homogeneity rapidly, exactly and quantitatively, a new device and method was developed relaying on the theory that the barycentre of the concrete which was filled in regular-shape container would deflect away from the shape-centre of the container more or less if the components with different density in concrete separated to stratifications. C30 and C40 concrete whose slump≥180mm and slump flow≥480mm were tested by this method and their homogeneity modulus (Cv) were figured out by the supporting formula. The result showed that the homogeneity of concrete was accredited if 0.90<Cv<1.10, and Cv was closer to 1.00, the homogeneity was better.

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17

Biau, Gérard, and László Györfi. "On a $L_1$-Test Statistic of Homogeneity." Bulletin of the Belgian Mathematical Society - Simon Stevin 13, no. 5 (January 2007): 877–81. http://dx.doi.org/10.36045/bbms/1170347810.

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18

Harwell, Michael. "An empirical study of Hedge's homogeneity test." Psychological Methods 2, no. 2 (1997): 219–31. http://dx.doi.org/10.1037/1082-989x.2.2.219.

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19

BERGER, AGNES, GUADALUPE GÓMEZ, and SYLVAN WALLENSTEIN. "A Homogeneity Test for Follow-up Studies." Mathematical Medicine and Biology 5, no. 2 (1988): 101–12. http://dx.doi.org/10.1093/imammb/5.2.101.

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20

Dupuis, Jérôme A. "Bayesian test of homogeneity for Markov chains." Statistics & Probability Letters 31, no. 4 (February 1997): 333–38. http://dx.doi.org/10.1016/s0167-7152(96)00047-8.

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21

Commenges, D., and P. K. Andersen. "Score test of homogeneity for survival data." Lifetime Data Analysis 1, no. 2 (1995): 145–56. http://dx.doi.org/10.1007/bf00985764.

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22

Vargha, András, Harold D. Delaney, and Andras Vargha. "The Kruskal-Wallis Test and Stochastic Homogeneity." Journal of Educational and Behavioral Statistics 23, no. 2 (1998): 170. http://dx.doi.org/10.2307/1165320.

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23

BERRY, KENNETH J. "AN ASYMMETRIC TEST OF HOMOGENEITY OF PROPORTIONS." Psychological Reports 87, no. 5 (2000): 259. http://dx.doi.org/10.2466/pr0.87.5.259-265.

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24

Rahmani, Hamid, and Mostafa Razmkhah. "Homogeneity test based on ranked set samples." Communications in Statistics - Theory and Methods 49, no. 19 (May 2, 2019): 4771–86. http://dx.doi.org/10.1080/03610926.2019.1609034.

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25

Alexandersson, Hans. "A homogeneity test applied to precipitation data." Journal of Climatology 6, no. 6 (1986): 661–75. http://dx.doi.org/10.1002/joc.3370060607.

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26

Gómez, Rafael Martínez Pedro, and Karim Drouiche. "A test of homogeneity for autoregressive processes." International Journal of Adaptive Control and Signal Processing 16, no. 3 (January 25, 2002): 231–42. http://dx.doi.org/10.1002/acs.697.

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27

Alba Fernández, V., D. Barrera Rosillo, M. J. Ibáñez Pérez, and M. D. Jiménez Gamero. "A homogeneity test for bivariate random variables." Computational Statistics 24, no. 3 (January 18, 2009): 513–31. http://dx.doi.org/10.1007/s00180-008-0144-6.

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28

Fu, Bo, Hui Wang, and Zhu Feng Shao. "Analysis of the Test Method of Quartz Glass Optical Homogeneity." Key Engineering Materials 726 (January 2017): 414–18. http://dx.doi.org/10.4028/www.scientific.net/kem.726.414.

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The optical quartz glass is widely applied in optical system , photo communications，inertial navigation，etc.It must have high optical homogeneity. Optical homogeneity of the optical quartz glass directly affects the wavefront quality of the optical transmission system, and changes the wavefront aberration of the system. How to accurately determine the optical homogeneity of the quartz glass is especially important. Currently，the method of test for optical homogeneity mainly used by interference principle. This paper analyzes various existing interference measurement method and test equipment. Summarized the advantages and disadvantages of various test methods，using range and measurement accuracy.

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29

Klůfa, Jindřich. "Homogeneity of the Test Variants in Entrance Exams." MATEC Web of Conferences 125 (2017): 04016. http://dx.doi.org/10.1051/matecconf/201712504016.

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30

Van den Noortgate, Wim, and Patrick Onghena. "A Parametric Bootstrap Version of Hedges’ Homogeneity Test." Journal of Modern Applied Statistical Methods 2, no. 1 (May 1, 2003): 73–79. http://dx.doi.org/10.22237/jmasm/1051747620.

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31

Kumar, Narinder, Amar Nath Gill, and Gobind P. Mehta. "Distribution-free test for homogeneity against ordered alternatives." Communications in Statistics - Theory and Methods 23, no. 4 (January 1994): 1247–56. http://dx.doi.org/10.1080/03610929408831317.

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32

Serroukh, Abdeslam, and Khudhayr A. Rashedi. "Variance Homogeneity Test Based on Cumulative Wavelet Coefficients." Mathematics and Statistics 8, no. 4 (July 2020): 430–36. http://dx.doi.org/10.13189/ms.2020.080409.

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33

Sharma, Subhash C. "A new jackknife test for homogeneity of variances." Communications in Statistics - Simulation and Computation 20, no. 2-3 (January 1991): 479–95. http://dx.doi.org/10.1080/03610919108812967.

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34

Bandyopadhyay, Uttam, and Debajit Chatterjee. "Nonparametric homogeneity test based on ridit reliability functional." Journal of the Korean Statistical Society 44, no. 4 (December 2015): 577–91. http://dx.doi.org/10.1016/j.jkss.2015.03.004.

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35

Loh, Wei-yin. "Some modifications of levene's test of variance homogeneity." Journal of Statistical Computation and Simulation 28, no. 3 (September 1987): 213–26. http://dx.doi.org/10.1080/00949658708811030.

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36

Mantel, Klaus, and Johannes Schwider. "Interferometric homogeneity test using adaptive frequency comb illumination." Applied Optics 52, no. 9 (March 14, 2013): 1897. http://dx.doi.org/10.1364/ao.52.001897.

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37

Shanubhogue, A. "Distrubition-free test for homogeneity against stochastic ordering." Metrika 35, no. 1 (December 1988): 109–19. http://dx.doi.org/10.1007/bf02613293.

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38

Dubes, Richard C., and Guangzhou Zeng. "A test for spatial homogeneity in cluster analysis." Journal of Classification 4, no. 1 (March 1987): 33–56. http://dx.doi.org/10.1007/bf01890074.

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39

Alba, M. V., D. Barrera, and M. D. Jiménez. "A homogeneity test based on empirical characteristic functions." Computational Statistics 16, no. 2 (July 2001): 255–70. http://dx.doi.org/10.1007/s001800100064.

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40

Mussap, Michele. "Clinical Laboratory Test Unit Homogeneity—an Urgent Need." JAMA Internal Medicine 180, no. 12 (December 1, 2020): 1715. http://dx.doi.org/10.1001/jamainternmed.2020.3532.

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41

Heo, Sunyeong. "Error cause analysis of Pearson test statistics for k-population homogeneity test." Journal of the Korean Data and Information Science Society 24, no. 4 (July 31, 2013): 815–24. http://dx.doi.org/10.7465/jkdi.2013.24.4.815.

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42

Krus, David J., and Harold S. Blackman. "Test Reliability and Homogeneity From the Perspective of the Ordinal Test Theory." Applied Measurement in Education 1, no. 1 (January 1988): 79–88. http://dx.doi.org/10.1207/s15324818ame0101_7.

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43

Campos-Aranda, Daniel Francisco. "Descripción y aplicación de la versión corregida del Test de Langbein para verificar homogeneidad regional." Ingeniería, investigación y tecnología 13, no. 4 (July 1, 2012): 411–16. http://dx.doi.org/10.22201/fi.25940732e.2012.13n4.039.

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44

ARIZONO, Ikuo, Yukihiro AOYAMA, Kyoko WATAKABE, and Shigeru KATSUYAMA. "A Test of Homogeneity of Variances for Normal Populations." Japanese journal of applied statistics 26, no. 3 (1997): 151–60. http://dx.doi.org/10.5023/jappstat.26.151.

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45

Teves, Aldwin M. "TEST OF HOMOGENEITY BASED ON GEOMETRIC MEAN OF VARIANCES." PEOPLE: International Journal of Social Sciences 3, no. 2 (September 6, 2017): 306–16. http://dx.doi.org/10.20319/pijss.2017.32.306316.

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46

Lee, ShinHyung, SunWoo Kim, and SungDuck Lee. "Test of Homogeneity for Panel Bilinear Time Series Model." Korean Journal of Applied Statistics 26, no. 3 (June 30, 2013): 521–29. http://dx.doi.org/10.5351/kjas.2013.26.3.521.

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47

Kim, MinSup, Balgobin Nandram, and Dal Ho Kim. "Nonparametric Bayesian test of homogeneity using a discretization approach." Journal of the Korean Data And Information Science Sociaty 29, no. 1 (January 31, 2018): 303–11. http://dx.doi.org/10.7465/jkdi.2018.29.1.303.

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48

Commenges, Daniel, Luc Letenneur, Helene Jacqmin, Thierry Moreau, and Jean-Francois Dartigues. "Test of Homogeneity of Binary Data with Explanatory Variables." Biometrics 50, no. 3 (September 1994): 613. http://dx.doi.org/10.2307/2532776.

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49

Moser, Barry K., and Gary R. Stevens. "Homogeneity of Variance in the Two-Sample Means Test." American Statistician 46, no. 1 (February 1992): 19. http://dx.doi.org/10.2307/2684403.

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50

Lambert, Annick, A. K. Md Ehsanes Saleh, and Pranab Kumar Sen. "Tests of homogeneity of intercepts after a preliminary test." Communications in Statistics - Theory and Methods 14, no. 9 (January 1985): 2243–59. http://dx.doi.org/10.1080/03610928508829041.

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