The Generalized $\chi^2$ Goodness-of-fit Test

Autor: McLaren, C. E., Legler, J. M., Brittenham, G. M.

Publikováno v: Journal of the Royal Statistical Society. Series D (The Statistician), 1994 Jan 01. 43(2), 247-258.

Externí odkaz: https://www.jstor.org/stable/2348342

A Randomized, Double-Blind, Placebo-Controlled Phase II Clinical Trial of Lovastatin for Various Endpoints of Melanoma Pathobiology

Autor: Linden, K. G, Leachman, S. A, Zager, J. S, Jakowatz, J. G, Viner, J. L, McLaren, C. E, Barr, R. J, Carpenter, P. M, Chen, W.-P., Elmets, C. A, Tangrea, J. A, Lim, S.-J., Cochran, A. J, Meyskens, F. L

Publikováno v: Linden, K. G; Leachman, S. A; Zager, J. S; Jakowatz, J. G; Viner, J. L; McLaren, C. E; et al.(2014). A Randomized, Double-Blind, Placebo-Controlled Phase II Clinical Trial of Lovastatin for Various Endpoints of Melanoma Pathobiology. Cancer Prevention Research, 7(5), 496-504. doi: 10.1158/1940-6207.capr-13-0189. UC Irvine: Institute for Clinical and Translational Science. Retrieved from: http://www.escholarship.org/uc/item/2rn9z8t6

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::d9cce770231d8b47c7ebb801436d7c8c
http://www.escholarship.org/uc/item/2rn9z8t6

Maximum likelihood estimation of mixture densities for binned and truncated multivariate data

Autor: Cadez, I. V., Smyth, P., McLachlan, G. J., McLaren, C. E.

Binning and truncation of data is common in data analysis and machine learning. This paper addresses the problem of fitting mixture densities to multivariate binned and truncated data. The EM approach proposed by McLachlan and Jones (1988) for the un

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______325::d911f8abd2734adadf2dfe6f6d6f1994
https://escholarship.org/uc/item/9wk7p01d

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