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pro vyhledávání: '"Huma Shakeel"'
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-7 (2021)
Abstract Background Kruskal-Wallis H test from the bank of classical statistics tests is a well-known nonparametric alternative to a one-way analysis of variance. The test is extensively used in decision-making problems where one has to compare the e
Externí odkaz:
https://doaj.org/article/655e086655af4c4aa7c4d0ca9500e32a
Autor:
Rehan Ahmad Khan Sherwani, Huma Shakeel, Muhammad Saleem, Wajiha Batool Awan, Muhammad Aslam, Muhammad Farooq
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255671 (2021)
The Sign test is a famous nonparametric test from classical statistics used to assess the one or two sample averages. The test is practical when the sample size is small, or the distributional assumption under a parametric test does not satisfy. One
Externí odkaz:
https://doaj.org/article/cdef13eadea2420ba93155c1d3c8f3b7
Publikováno v:
BMC Medical Research Methodology
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-7 (2021)
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-7 (2021)
Background Kruskal-Wallis H test from the bank of classical statistics tests is a well-known nonparametric alternative to a one-way analysis of variance. The test is extensively used in decision-making problems where one has to compare the equality o
Autor:
Wajiha Batool Awan, Muhammad Saleem, Muhammad Aslam, Huma Shakeel, Rehan Ahmad Khan Sherwani, Muhammad Farooq
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255671 (2021)
PLoS ONE
PLoS ONE
The Sign test is a famous nonparametric test from classical statistics used to assess the one or two sample averages. The test is practical when the sample size is small, or the distributional assumption under a parametric test does not satisfy. One
Publikováno v:
Neutrosophic Operational Research ISBN: 9783030571962
In this chapter, we will introduce the important measures of central tendency and dispersion under the neutrosophic statistics (NS). The measures are the extension of central tendency and dispersion under classical statistics (CS). The purpose of thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7164a0779c7672b3feb927a536fff7f
https://doi.org/10.1007/978-3-030-57197-9_14
https://doi.org/10.1007/978-3-030-57197-9_14