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Journal articles on the topic 'Wilcoxon test'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Anaene Oyeka, Ikewelugo Cyprian, and Godday Uwawunkonye Ebuh. "Modified Wilcoxon Signed-Rank Test." Open Journal of Statistics 02, no. 02 (2012): 172–76. http://dx.doi.org/10.4236/ojs.2012.22019.

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2

Jasak, Zoran. "BENFORD’S LAW AND WILCOXON TEST." Journal of Mathematical Sciences: Advances and Applications 52, no. 1 (July 10, 2018): 69–81. http://dx.doi.org/10.18642/jmsaa_7100121981.

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3

Phatarfod, R. M., and Aidan Sudbury. "A SIMPLE SEQUENTIAL WILCOXON TEST." Australian Journal of Statistics 30, no. 1 (March 1988): 93–106. http://dx.doi.org/10.1111/j.1467-842x.1988.tb00615.x.

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4

Barros, Roberto Souto Maior de, Juan Isidro González Hidalgo, and Danilo Rafael de Lima Cabral. "Wilcoxon Rank Sum Test Drift Detector." Neurocomputing 275 (January 2018): 1954–63. http://dx.doi.org/10.1016/j.neucom.2017.10.051.

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5

Ozturk, Omer. "SUB-SAMPLE MANN–WHITNEY–WILCOXON TEST." Communications in Statistics - Theory and Methods 31, no. 12 (December 31, 2002): 2361–77. http://dx.doi.org/10.1081/sta-120017230.

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6

Cuzick, Jack. "A wilcoxon-type test for trend." Statistics in Medicine 14, no. 4 (February 28, 1995): 445–46. http://dx.doi.org/10.1002/sim.4780140409.

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7

Cuzick, Jack. "A wilcoxon-type test for trend." Statistics in Medicine 4, no. 1 (January 1985): 87–90. http://dx.doi.org/10.1002/sim.4780040112.

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8

Cuzick, Jack. "A wilcoxon-type test for trend." Statistics in Medicine 4, no. 4 (October 1985): 543–47. http://dx.doi.org/10.1002/sim.4780040416.

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9

Cuzick, Jack. "A wilcoxon-type test for trend." Statistics in Medicine 5, no. 2 (March 1986): 199. http://dx.doi.org/10.1002/sim.4780050210.

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10

Ludbrook, J. "The Wilcoxon-Mann-Whitney test condemned." British Journal of Surgery 83, no. 1 (January 1996): 136–37. http://dx.doi.org/10.1002/bjs.1800830155.

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11

Vaidyanathan, V. S. "Wilcoxon signed rank test for imprecise observations." IOSR Journal of Mathematics 10, no. 2 (2014): 55–59. http://dx.doi.org/10.9790/5728-10245559.

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12

Dewan, Isha, and B. L. S. Prakasa Rao. "Wilcoxon-signed rank test for associated sequences." Statistics & Probability Letters 71, no. 2 (February 2005): 131–42. http://dx.doi.org/10.1016/j.spl.2004.10.034.

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13

Hodges, J. L., Philip H. Ramsey, and Sergio Wechsler. "Improved Significance Probabilities of the Wilcoxon Test." Journal of Educational Statistics 15, no. 3 (September 1990): 249–65. http://dx.doi.org/10.3102/10769986015003249.

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An Edgeworth approximation for accurate significance probabilities for the Wilcoxon two-sample test is substantially simplified. A method is developed that allows quick and easy calculations of very accurate probabilities. Exact formulas are given for most of the remaining cases, and tables are presented comparing the accuracy of the new simplification relative to the most likely alternatives.

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14

Hodges, J. L., Philip H. Ramsey, and Sergio Wechsler. "Improved Significance Probabilities of the Wilcoxon Test." Journal of Educational Statistics 15, no. 3 (1990): 249. http://dx.doi.org/10.2307/1165034.

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15

Pee, David Yu-Wu, and Laurence S. Freedman. "A stratified Wilcoxon-type test for trend." Statistics in Medicine 9, no. 7 (July 1990): 829–34. http://dx.doi.org/10.1002/sim.4780090712.

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16

Pee, D. Y. W., and Laurence S. Freedmann. "A stratified wilcoxon-type test for trend." Statistics in Medicine 10, no. 5 (May 1991): 799–800. http://dx.doi.org/10.1002/sim.4780100515.

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17

Fagerland, Morten W., and Leiv Sandvik. "The Wilcoxon-Mann-Whitney test under scrutiny." Statistics in Medicine 28, no. 10 (February 26, 2009): 1487–97. http://dx.doi.org/10.1002/sim.3561.

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18

Park, Hyo-Il. "A generalization of Wilcoxon rank sum test." Applied Mathematical Sciences 9 (2015): 3155–64. http://dx.doi.org/10.12988/ams.2015.52129.

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19

Qu, Yongming, Yan D. Zhao, and Dewi Rahardja. "Wilcoxon–Mann–Whitney Test: Stratify or Not?" Journal of Biopharmaceutical Statistics 18, no. 6 (November 7, 2008): 1103–11. http://dx.doi.org/10.1080/10543400802369103.

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20

Maesono, Yoshihiko. "Competitors of the Wilcoxon signed rank test." Annals of the Institute of Statistical Mathematics 39, no. 2 (December 1987): 363–75. http://dx.doi.org/10.1007/bf02491474.

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21

Qin, Ruibing, Xinxin Luo, and Wei Yang. "Wilcoxon rank test for change in persistence." Statistics 55, no. 3 (May 4, 2021): 514–31. http://dx.doi.org/10.1080/02331888.2021.1963964.

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22

Tajuddin, I. H. "Distribution-free test for symmetry based on Wilcoxon two-sample test." Journal of Applied Statistics 21, no. 5 (January 1994): 409–15. http://dx.doi.org/10.1080/757584017.

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23

Kasuya, Eiiti. "Wilcoxon signed-ranks test: symmetry should be confirmed before the test." Animal Behaviour 79, no. 3 (March 2010): 765–67. http://dx.doi.org/10.1016/j.anbehav.2009.11.019.

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24

Ramsey, Philip H., J. L. Hodges, and Juliet Popper Shaffer. "Significance probabilities of the wilcoxon signed-rank test." Journal of Nonparametric Statistics 2, no. 2 (January 1993): 133–53. http://dx.doi.org/10.1080/10485259308832548.

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25

Bürkner, Paul-Christian, Philipp Doebler, and Heinz Holling. "Optimal design of the Wilcoxon-Mann-Whitney-test." Biometrical Journal 59, no. 1 (May 31, 2016): 25–40. http://dx.doi.org/10.1002/bimj.201600022.

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26

Taufer, Emanuele. "Wilcoxon-Signed Rank Test for Long Memory Sequences." Communications in Statistics - Theory and Methods 38, no. 16-17 (August 20, 2009): 3240–48. http://dx.doi.org/10.1080/03610920902947782.

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27

Kim, Dong Hee, and Young Cheol Kim. "Wilcoxon signed rank test using ranked-set sample." Korean Journal of Computational & Applied Mathematics 3, no. 2 (June 1996): 235–43. http://dx.doi.org/10.1007/bf03008904.

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28

Skovlund, Eva. "Truncation of a Two Sample Sequential Wilcoxon Test." Biometrical Journal 33, no. 3 (1991): 271–79. http://dx.doi.org/10.1002/bimj.4710330303.

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29

Sari, Resti Mustika, Yudiantri Asdi, and Ferra Yanuar. "PERBANDINGAN KUASA WILCOXON RANK SUM TEST DAN PERMUTATION TEST DALAM BERBAGAI DISTRIBUSI TIDAK NORMAL." Jurnal Matematika UNAND 3, no. 4 (December 1, 2014): 139. http://dx.doi.org/10.25077/jmu.3.4.139-146.2014.

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Kuasa dari suatu uji statistik adalah peluang menolak hipotesis nol kalauhipotesis nol tersebut salah. Simulasi dengan menggunakan software R dilakukan untukmembandingkan kuasa Wilcoxon Rank Sum Test dan Permutation Test untuk membandingkan dua nilai tengah populasi yang dibangkitkan dari distribusi Uniform, Eksponensial, Log Normal dan Weibull. Hasil simulasi data menunjukkan bahwa pada sebaranUniform uji yang lebih baik adalah Permutation Test. Untuk sampel menengah dansampel besar pada distribusi Eksponensial, Weibull dan Log-Normal uji yang lebih baikadalah Wilcoxon Rank Sum Test. Sedangkan untuk sampel berukuran kecil yang berasaldari distribusi Eksponensial, Weibull dan Log-Normal tidak bisa ditentukan mana uji yglebih baik diantara Wilcoxon Rank Sum Test dan Permutation Test.

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30

Okeh, U. M., and I. Onyeagu Sidney. "Comparison of Two Diagnostic Test Procedures Using Modified Wilcoxon Signed Rank Test." Asian Journal of Mathematics & Statistics 13, no. 1 (December 15, 2019): 14–20. http://dx.doi.org/10.3923/ajms.2020.14.20.

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31

O'Brien, Peter C., and Thomas R. Fleming. "A Paired Prentice-Wilcoxon Test for Censored Paired Data." Biometrics 43, no. 1 (March 1987): 169. http://dx.doi.org/10.2307/2531957.

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32

Fueda, Kaoru, and Katsumasa Ohori. "VERSATILE TWO-SAMPLE RANK TESTS BASED ON WILCOXON TEST." Bulletin of informatics and cybernetics 27, no. 1 (March 1995): 159–64. http://dx.doi.org/10.5109/13449.

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33

Bucchianico, A. Di. "Combinatorics, computer algebra and the Wilcoxon-Mann-Whitney test." Journal of Statistical Planning and Inference 79, no. 2 (July 1999): 349–64. http://dx.doi.org/10.1016/s0378-3758(98)00261-4.

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34

Shen, Ching-fu, Jin-long Huang, and Chin-san Lee. "Weighted Wilcoxon-Type Rank Test for Interval Censored Data." Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/273954.

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Interval censored (IC) failure time data are often observed in medical follow-up studies and clinical trials where subjects can only be followed periodically, and the failure time can only be known to lie in an interval. In this paper, we propose a weighted Wilcoxon-type rank test for the problem of comparing two IC samples. Under a very general sampling technique developed by Fay (1999), the mean and variance of the test statistics under the null hypothesis can be derived. Through simulation studies, we find that the performance of the proposed test is better than that of the two existing Wilcoxon-type rank tests proposed by Mantel (1967) and R. Peto and J. Peto (1972). The proposed test is illustrated by means of an example involving patients in AIDS cohort studies.

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35

Klotz, Jerome. "A linked list for the wilcoxon signed rank test." Journal of Nonparametric Statistics 9, no. 1 (January 1998): 87–93. http://dx.doi.org/10.1080/10485259808832736.

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36

Good, I. J. "C235. Another application of the wilcoxon signed-rank test." Journal of Statistical Computation and Simulation 21, no. 3-4 (June 1985): 339. http://dx.doi.org/10.1080/00949658508810828.

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37

HILTON, JOAN F. "THE APPROPRIATENESS OF THE WILCOXON TEST IN ORDINAL DATA." Statistics in Medicine 15, no. 6 (March 30, 1996): 631–45. http://dx.doi.org/10.1002/(sici)1097-0258(19960330)15:6<631::aid-sim206>3.0.co;2-6.

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38

Perolat, Julien, Inés Couso, Kevin Loquin, and Olivier Strauss. "Generalizing the Wilcoxon rank-sum test for interval data." International Journal of Approximate Reasoning 56 (January 2015): 108–21. http://dx.doi.org/10.1016/j.ijar.2014.08.001.

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39

Arrenberg, Jutta. "Natural ranks in the conditional Wilcoxon rank sum test." Computational Statistics & Data Analysis 17, no. 2 (February 1994): 141–52. http://dx.doi.org/10.1016/0167-9473(92)00067-2.

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40

Salov, G. I. "On the power of a new statistical test and two-sample Wilcoxon test." Optoelectronics, Instrumentation and Data Processing 50, no. 1 (January 2014): 36–48. http://dx.doi.org/10.3103/s8756699014010051.

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41

Sukhatme, Shashikala, and C. H. Lin. "Exact powers of the Wilcoxon test and the logrank test under random censoring." Journal of Statistical Planning and Inference 48, no. 3 (December 1995): 291–301. http://dx.doi.org/10.1016/0378-3758(95)00010-7.

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42

Maggio, Saverpierre, and Shlomo S. Sawilowsky. "A New Maximum Test via the Dependent Samples t-Test and the Wilcoxon Signed-Ranks Test." Applied Mathematics 05, no. 01 (2014): 110–14. http://dx.doi.org/10.4236/am.2014.51013.

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43

Öztürk, Ömer, and Douglas A. Wolfe. "An improved ranked set two-sample mann-whitney-wilcoxon test." Canadian Journal of Statistics 28, no. 1 (March 2000): 123–35. http://dx.doi.org/10.2307/3314843.

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44

Öztürk, Ömer, Douglas A. Wolfe, and Omer Ozturk. "An Improved Ranked Set Two-Sample Mann-Whitney-Wilcoxon Test." Canadian Journal of Statistics / La Revue Canadienne de Statistique 28, no. 1 (March 2000): 123. http://dx.doi.org/10.2307/3315886.

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45

O'Gorman, Thomas W. "An adaptive two-sample test based on modified wilcoxon scores." Communications in Statistics - Simulation and Computation 25, no. 2 (January 1996): 459–79. http://dx.doi.org/10.1080/03610919608813324.

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46

Fong, Youyi, and Ying Huang. "Modified Wilcoxon–Mann–Whitney Test and Power Against Strong Null." American Statistician 73, no. 1 (May 10, 2018): 43–49. http://dx.doi.org/10.1080/00031305.2017.1328375.

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47

Baklizi, Ayman S. "A modified Wilcoxon signed rank test for shift in location." Journal of Information and Optimization Sciences 20, no. 3 (September 1999): 373–80. http://dx.doi.org/10.1080/02522667.1999.10699425.

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48

Rosner, Bernard, and Robert J. Glynn. "Power and Sample Size Estimation for the Clustered Wilcoxon Test." Biometrics 67, no. 2 (September 28, 2010): 646–53. http://dx.doi.org/10.1111/j.1541-0420.2010.01488.x.

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49

Chakraborty, A., and P. Chaudhuri. "A Wilcoxon-Mann-Whitney-type test for infinite-dimensional data." Biometrika 102, no. 1 (February 9, 2015): 239–46. http://dx.doi.org/10.1093/biomet/asu072.

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50

Huang, Li-Fei. "Adjusted Wilcoxon signed rank test tables for ratio of percentiles." Communications in Statistics - Simulation and Computation 46, no. 7 (March 15, 2017): 5763–71. http://dx.doi.org/10.1080/03610918.2016.1177073.

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