منابع مشابه
on some bayesian statistical models in actuarial science with emphasis on claim count
چکیده ندارد.
15 صفحه اولRole of Statistical Random-Effects Linear Models in Personalized Medicine
Some empirical studies and recent developments in pharmacokinetic theory suggest that statistical random-effects linear models are valuable tools that allow describing simultaneously patient populations as a whole and patients as individuals. This remarkable characteristic indicates that these models may be useful in the development of personalized medicine, which aims at finding treatment regi...
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Prognosis (pro: before; gnoscere: to know) literary means to know beforehand or, as a noun, foreknowledge. The key concept behind prognosis is the prediction of an event before its possible occurrence. One could argue that the prediction of anything without knowing about its possible occurrence is a form of prognosis. An example of the latter is used in the evaluation of a clinician’s performan...
متن کاملStatistical Inference in Autoregressive Models with Non-negative Residuals
Normal residual is one of the usual assumptions of autoregressive models but in practice sometimes we are faced with non-negative residuals case. In this paper we consider some autoregressive models with non-negative residuals as competing models and we have derived the maximum likelihood estimators of parameters based on the modified approach and EM algorithm for the competing models. Also,...
متن کاملAdvances in Statistical Medicine
1 Department of Statistics, University of Akron, 302 Buchtel Commons, Akron, OH 44325, USA 2 Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, Hubei 430072, China 3National Institute of Biomedical Genomics, Netaji Subhas Sanatorium, 2nd Floor, P.O. Box N.S.S., Kalyani, West Bengal 741251, India 4Department of Family and Community Medicine, Northeast Ohio Me...
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ژورنال
عنوان ژورنال: Polythematic Online Scientific Journal of Kuban State Agrarian University
سال: 2016
ISSN: 1990-4665
DOI: 10.21515/1990-4665-124-063