Fisher Information Test of Normality
作者： Yew-Haur Lee
DOI:
关键词:
摘要: byYew-Haur LeeDissertation submitted to the Faculty of theVirginia Polytechnic Institute and State Universityin partial fulfillment requirements for degree ofDoctor PhilosophyinStatisticsApproved byDr George R. Terrell, ChairmanDr Clint W. CoakleyDr Klaus HinkelmannDr Eric P. SmithDr Keying YeSeptember 3, 1998Blacksburg, VirginiaKeywords: Normality testing, Fisher information location, Power study, Residuals,Nonparametric density estimation, Calculus variationCopyright 1998, Yew-Haur Lee
参考文章(36)
K.V. Mardia, 9 Tests of unvariate and multivariate normality Handbook of Statistics. ,vol. 1, pp. 279- 320 ,(1980) , 10.1016/S0169-7161(80)01011-5
Robert W. Risebrough, Effects of environmental pollutants upon animals other than man Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Volume 6: Effects of Pollution on Health. ,(1972)
J. P. Royston, An Extension of Shapiro and Wilk's W Test for Normality to Large Samples Applied statistics. ,vol. 31, pp. 115- 124 ,(1982) , 10.2307/2347973
Alpha C. Chiang, Elements of Dynamic Optimization ,(1992)
Patrick Royston, Tests for Departure from Normality Stata Technical Bulletin. ,vol. 1, ,(1992)
Sanford Weisberg, Christopher Bingham, An Approximate Analysis of Variance Test for Non-Normality Suitable for Machine Calculation Technometrics. ,vol. 17, pp. 133- 134 ,(1975) , 10.1080/00401706.1975.10489283
K. O. BOWMAN, L. R. SHENTON, Omnibus test contours for departures from normality based on √b1 and b2 Biometrika. ,vol. 62, pp. 243- 250 ,(1975) , 10.1093/BIOMET/62.2.243
H. LEON HARTER, Expected values of normal order statistics Biometrika. ,vol. 48, pp. 151- 165 ,(1961) , 10.1093/BIOMET/48.1-2.151
V. K. Klonias, Consistency of Two Nonparametric Maximum Penalized Likelihood Estimators of the Probability Density Function Annals of Statistics. ,vol. 10, pp. 811- 824 ,(1982) , 10.1214/AOS/1176345873
Donald Allan Darling, Theodore Wilbur Anderson, A Test of Goodness of Fit Journal of the American Statistical Association. ,vol. 49, pp. 765- 769 ,(1954) , 10.2307/2281537