المقارنة بين اختبار Shapiro- Wilk واختبار Jureckova بإستخدام المحاكاة ولعدة توزيعات
نویسندگان
چکیده
منابع مشابه
The Shapiro-wilk and Related Tests for Normality
Given a sampleX1, . . . , Xn of n real-valued observations, the Shapiro– Wilk test (Shapiro and Wilk, 1965) is a test of the composite hypothesis that the data are i.i.d. (independent and identically distributed) and normal, i.e. N(μ, σ) for some unknown real μ and some σ > 0. This test of a parametric hypothesis relates to nonparametrics in that a lot of statistical methods (such as t-tests an...
متن کاملSimulation Study on Improved Shapiro-Wilk Tests for Normality
The W statistic proposed by Shapiro and Wilk ([2]) is frequently used for testing of the univariate and multivariate normality. However, the table of coefficients in the W statistic, its critical values and also constants in Johnson’s SB transformation to normal distribution ([3]), are not correct. Royston ([1]) gave an approximation for coefficients in the W statistic and use them to evaluate ...
متن کاملPower comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests
The importance of normal distribution is undeniable since it is an underlying assumption of many statistical procedures such as t-tests, linear regression analysis, discriminant analysis and Analysis of Variance (ANOVA). When the normality assumption is violated, interpretation and inferences may not be reliable or valid. The three common procedures in assessing whether a random sample of indep...
متن کاملGoodness-of-Fit Test of Shapiro-Wilk Type with Nuisance Regression and Scale
Shapiro and Wilk (1965) proposed a highly intuitive goodness-offit test of normality with nuisance location and scale parameters. The test has received a considerable attention in the literature; its asymptotic null distribution is covered by the results of de Wet and Wenter (1973), and was recently studied by Sen (2002). We extend the Shapiro-Wilk test to the situation with nuisance regression...
متن کاملComparison of the Shapiro-Wilk and Kurtosis Tests for the Detection of Pulsed Sinusoidal Radio Frequency Interference
Normality tests have been shown to be powerful tools for detecting radio frequency interference (RFI) in microwave radiometer systems [1]-[4]. These tests are based on the fact that received fields produced by thermal noise are Gaussian (or “normal”) random variables; the presence of any RFI generally disrupts normality. Numerous statistical tests of the normality of a data sample have been des...
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ژورنال
عنوان ژورنال: Journal of Economics and Administrative Sciences
سال: 2009
ISSN: 2227-703X,2518-5764
DOI: 10.33095/jeas.v15i54.1176