JMASM 49: A Compilation of Some Popular Goodness of Fit Tests for Normal Distribution: Their Algorithms and MATLAB Codes (MATLAB)


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ÖNER M., DEVECİ KOCAKOÇ İ.

JOURNAL OF MODERN APPLIED STATISTICAL METHODS, vol.16, no.2, pp.547-575, 2017 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 16 Issue: 2
  • Publication Date: 2017
  • Doi Number: 10.22237/jmasm/1509496200
  • Journal Name: JOURNAL OF MODERN APPLIED STATISTICAL METHODS
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.547-575
  • Keywords: Normality test, non-parametric test, MATLAB function, p-value, KOLMOGOROV-SMIRNOV TEST, VARIANCE TEST
  • Dokuz Eylül University Affiliated: Yes

Abstract

The main purpose of this study is to review calculation algorithms for some of the most common non-parametric and omnibus tests for normality, and to provide them as a compiled MATLAB function. All tests are coded to provide p-values for those normality tests, and the proposed function gives the results as an output table.