Pengujian kesesuaian taburan normal berdasarkan statistik Cramer-von Mises

Translated title of the contribution: Test of suitability of normal distribution based on Cramer-von Mises statistics

Ani Bin Shabri, Abdul Aziz Jemain

Research output: Contribution to journalArticle

Abstract

Since normal distributions are the most important ones in statistics, there are large number of tests for normality. However they have less some drawbacks. Some of these tests are simple but suitable for some situations. In this study, the traditional Cramer-von Mises test statistics is modified based on Weibull formula. The new goodness-of-fit test is compared with the traditional Anderson-Darling (AD), Cramer von-Mises (CR), Kolmogorov-Smirnov (KS) and Shapiro-Wilk (SW) test statistics. A simulation study using several different distributions shows that the proposed test is very powerful for testing normality.

Original languageUndefined/Unknown
Pages (from-to)201-206
Number of pages6
JournalSains Malaysiana
Volume36
Issue number2
Publication statusPublished - Dec 2007

Fingerprint

Cramér-von Mises Statistic
Gaussian distribution
Normality
Test Statistic
Shapiro-Wilk Test
Cramér-von Mises Test
Kolmogorov-Smirnov
Weibull
Goodness of Fit Test
Simulation Study
Statistics
Testing

Keywords

  • Cramer von-Mises
  • Kolmogorov-Smirnov
  • Shapiro-Wilk
  • Test of normality

ASJC Scopus subject areas

  • General

Cite this

Pengujian kesesuaian taburan normal berdasarkan statistik Cramer-von Mises. / Shabri, Ani Bin; Jemain, Abdul Aziz.

In: Sains Malaysiana, Vol. 36, No. 2, 12.2007, p. 201-206.

Research output: Contribution to journalArticle

Shabri, AB & Jemain, AA 2007, 'Pengujian kesesuaian taburan normal berdasarkan statistik Cramer-von Mises', Sains Malaysiana, vol. 36, no. 2, pp. 201-206.
Shabri, Ani Bin ; Jemain, Abdul Aziz. / Pengujian kesesuaian taburan normal berdasarkan statistik Cramer-von Mises. In: Sains Malaysiana. 2007 ; Vol. 36, No. 2. pp. 201-206.
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