Investigation of four different normality tests in terms of type 1 error rate and power under different distributions

Turkish Journal of Medical Sciences

Volumn 36, Issue 3, 2006, Pages 171-176

  Öztuna, Derya ^a   Elhan, Atilla Halil ^a   Tüccar, Ersöz ^a  

^a ANKARA UNIVERSITY   (Turkey)

Author keywords

D'Agostino Pearson and Jarqua Bera tests; Lilliefors corrected Kolmogorov Smirnov; Shapiro Wilk

Indexed keywords

APPROXIMATION THEORY; BIT ERROR RATE; COMPUTER SIMULATION; PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS;

D'AGOSTINO PEARSON AND JARQUA-BERA TESTS; LILLIEFORS CORRECTED KOLMOGOROV-SMIRNOV; SHAPIRO-WILK;

BIOMEDICAL ENGINEERING;

ANALYTICAL ERROR; ARTICLE; COMPUTER PROGRAM; JARQUA BERA TEST; KOLMOGOROV SMIRNOV TEST; NORMAL DISTRIBUTION; POWER ANALYSIS; SAMPLE SIZE; SHAPIRO WILK TEST; SIMULATION; STATISTICAL ANALYSIS;

EID: 33745834736     PISSN: 13000144     EISSN: 13036165     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. http://www.graphpad.com/library/BiostatsSpecial/article_197.htm
2. Armitage P, Colton T. Encyclopedia of Biostatistics, Wiley. New York 1998, Vol: 2, pp: 1759-1760.
3. Tukey JW. Exploratory Data Analysis. Addison-Wesley, Reading.
4. http://www.basic.northwestern.edu/statguidefiles/ttest_unpaired_exam_res. html#Normality%20tests
5. Armitage P, Colton T. Encyclopedia of Biostatistics, Wiley. New York 1998, Vol:4, pp: 3075-3079.
6. Mendes M, Pala A. Type I Error Rate and Power of Three Normality Tests. Pakistan Journal of Information and Technology, 2003; 2: 135-139.
7. http://www2.chass.ncsu.edu/garson/pa765/assumpt.htm
8. D'Agostino RB, Belanger A, D'Agostino Jr. A Suggestion for Using Powerful and Informative Tests of Normality. The American Statistician, 1990; 44: 316-321.
9. Brys G, Hubert M, Struyf A. A Robustification of the Jarqua-Bera Test of Normality. COMPSTAT 2004 Symposium, Section: Robustness, 2004.