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, cilt.16, sa.2, ss.547-575, 2017 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 2
  • Basım Tarihi: 2017
  • Doi Numarası: 10.22237/jmasm/1509496200
  • Dergi Adı: JOURNAL OF MODERN APPLIED STATISTICAL METHODS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.547-575
  • Anahtar Kelimeler: Normality test, non-parametric test, MATLAB function, p-value, KOLMOGOROV-SMIRNOV TEST, VARIANCE TEST
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.