TEK-YÖNLÜ VE İKİ-YÖNLÜ VARYANS ANALİZİNDE KULLANILAN PARAMETRİK OLMAYAN YÖNTEMLER

Year 1999, , 225 - 233, 10.06.1999

Filiz Çakır

https://doi.org/10.14783/maruoneri.691289

Abstract

Non-parametric tests are done according tö the hypothesis that the distribution of the population is normal. In the cases that the parametric variance analysis can’t be applied, by the help of these tests more than two samples can be tested and it can be considered whether they come from the same population or not. Kruskal-Wallis one way variance analysis test, which is used in testing more than two samples at the same time, is one of the tests delt in this article. Besides the other test is also used to test more than two samples but in randomized blocks design. This is called Friedman test.

Keywords

varyans analizi, parametrik yöntem

References

• 1. Lincoln L.CHAO . Statistics: Methods and Analyses, International Student Edition. 1969
• 2. Leonard A.MARASCULİO - Maryellen MCSWEENEY. Nonparametric and Distribution-free Methods for the Social Sciences, Brooks/Cole Publishing Company, 1977
• 3. Fikret İKÎZ-Halis PÜSKÜLCÜ-Şaban EREN. İstatistiğe Giriş, Bilgisayar Örnekleri ile Genişletilmiş 4.Baskı, Barış Yayınları. İzmir, 1996
• 4. James L.KEPNER-David H.ROBINSON. Nonparametric Methods for Detecting Treatment Effects in Repeated Measures Design, Journal of the American Statistical Association. June 1988. Vol 83. No 402
• 5. Jay L.DEVORE, Probability and Statistics for Engineery and the Sciences, 2.Edition. 1987
• 6. MENDENHALL-REİNMUTH-BEAVER. Statistical for Management and Economics, Seventh Edition, Duxbury Press. 1993
• 7. Doglas C.MONTGOMERY-George C.RUNGER, Applied Statistical and Probability for Engineers, 1994
• 8. Marion Gross SOBOL-Martın K. STARR. Statistics for Business and Economics An Action Learning Approach, McGraw-Hill Book Company. 1983
• 9. Sidney SİEGEL, Nonparametric Statistics for the Behavioral Sciences, international Student Edition, 1956
• 10. Edward B.MANOUKİAN, Mathematical Nonparametric Statistics, Gordon and Breach Science Publisher, 1986
• 11. Gregory A.MACK- John H.SKILLINGS, A Friedman Type Rank Test for Main Effects in a Two-Factor ANOVA, Journal of the American Statistical Association, December 1980, Vol 75, No 372
• 12. D.R. JENSEN-Y. V.HUİ, Effiency of Friedman’s X2,. Test under Dependence, Journal of the American Statistical Association, June 1982, Vol 77. No 378
• 13. Stephen CHORA- Ronald L.1MAN. Asymptotic Relative Efftenciencies of the Rank-Transformation Procedure in Randomized Complete Block Design, Journal of the American Statistical Association. June 1988. Vol 83. No 402
• 14. S.SCHACH. An Alternative to the Friedman test with Certain Optimality Properties. The Annals of Statistics. 1979. Vol 7. No 3
• 15. Taka-Aki SHiRAiSHi. An Asymptotic Acceptance of Aligned Rank Tests under Alternatives of Contaminated Distributions in a Randomized-Blocks Design. Journal of the American Statistical Association. September 1985. Vol 80. No 39.