The use of outlier detection methods in the log-normal distribution for the identification of atypical varietal experiments

Akaike H. (1973): Information theory and an extension of the maximum likelihood principle. 2nd International Symposium on Information Theory. eds. B.N. Petrv and F. Csaki. Budapest; Akademia Kiado: 267-281.Search in Google Scholar

Akaike H. (1977): On entropy maximization principle. Proc Symposium on Applications of Statistics. ed. P.R. Krishnaiah. Amsterdam: North Holland: 27-47.Search in Google Scholar

Barnett V., Lewis T. (1994): Outliers in Statistical Data. John Wiley & Sons.Search in Google Scholar

Breuning M., Kriegel H.P, Sander J. (2000): LOF: Identifying Density-Based Local. Proceedings of the ACM SIGMOND Conference: 93-104.10.1145/335191.335388Search in Google Scholar

David H.A., Nagaraja H.N. (2003): Order Statistics. Wiley Series in Probability and Statistics.10.1002/0471722162Search in Google Scholar

Ferguson T.S. (1961): On the rejection of outliers. Proc. Fourth Berkeley Symposium Math. Statist. Prob.1: 253-287.Search in Google Scholar

Grubbs F.E. (1960): Sample criteria for testing outlying observations. Ann. Math. Statist. 21: 27-58.Search in Google Scholar

Grubbs F.E. (1969): Procedures for detecting outlying observations in samples. Technometrics 11: 1-21.10.1080/00401706.1969.10490657Search in Google Scholar

Krzyśko. M. (2004): Mathematical Statistics. Poznań, Wydawnictwo Naukowe UAM (in Polish).Search in Google Scholar

Limpert. E., Stahel W., Abbt M. (2001): Log-normal distribution across the sciences: Kees and Clues. Bioscience. 51(5): 341-352.10.1641/0006-3568(2001)051[0341:LNDATS]2.0.CO;2Search in Google Scholar

Ohanowicz T., Pilarczyk W. (1985): Precision experiments with potato and detection of unusual experiments. XV Colloquium Metodologiczne z Agrobiometrii: 106-115 (in Polish).Search in Google Scholar

Pilarczyk W. (1988): The effectiveness of varietal trials with cereals and detection of untypical experiments. Biuletyn Oceny Odmian. 13: 115-123 (in Polish).Search in Google Scholar

Ramaswamy S., Rastogi R., Shim K. (2000): Efficient algorithms for mining outliers from large data sets. Proceedings of the ACM SIGMOND Conference: 427-438.10.1145/335191.335437Search in Google Scholar

Rousseeuw P., Leroy A. (2003): Robust Regression and Outlier Detection. John Wiley & Sons.Search in Google Scholar

Sakamoto Y., Ishiguro M., Kitagawa G. (1986): Akaike Information Criterion Statistics. Tokyo Reidel Publishing Company.Search in Google Scholar

Srivastava M.S., Von Rosen D. (1998): Outliers in Multivariate Regression Models. J. Mult. Anal. 65: 195-208.Search in Google Scholar

Stefansky W. (1972): Rejecting outliers in factorial designs. Technometrics 14: 469-479. 10.1080/00401706.1972.10488930Search in Google Scholar