Chronological distribution of the coin finds in Bulgaria for a quarter century (1910-1934)
Jordan Tabov, Kliment Vasilev, Asen Velchev (2005)
Review of the National Center for Digitization
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Jordan Tabov, Kliment Vasilev, Asen Velchev (2005)
Review of the National Center for Digitization
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Jordan Tabov, Kliment Vasilev, Asen Velchev (2004)
Review of the National Center for Digitization
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Morris H. DeGroot (1980)
Trabajos de Estadística e Investigación Operativa
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Consider a sequence of decision problems S, S, ... and suppose that in problem S the statistician must specify his predictive distribution F for some random variable X and make a decision based on that distribution. For example, X might be the return on some particular investment and the statistician must decide whether or not to make that investment. The random variables X, X, ... are assumed to be independent and completely unrelated. It is also assumed that each predictive distribution...
Vladimir Papić, Jovan Popović (2001)
The Yugoslav Journal of Operations Research
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Saralees Nadarajah, Samuel Kotz (2007)
Applicationes Mathematicae
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Beta distributions are popular models for economic data. In this paper, a new multimodal beta distribution with bathtub shaped failure rate function is introduced. Various structural properties of this distribution are derived, including its cdf, moments, mean deviation about the mean, mean deviation about the median, entropy, asymptotic distribution of the extreme order statistics, maximum likelihood estimates and the Fisher information matrix. Finally, an application to consumer price...
Martial Guillaud, Jean-Marc Chassery (1991)
Statistique et analyse des données
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Eugenia Stoimenova, Plamen Mateev, Milena Dobreva (2006)
Review of the National Center for Digitization
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Eddy, N.O., Ukpong, I.J. (2006)
APPS. Applied Sciences
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Jimbo, H.C. (2004)
Acta Mathematica Universitatis Comenianae. New Series
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Ondřej Vencálek (2013)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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In the present paper we investigate performance of the -depth-nearest classifier. This classifier, proposed recently by Vencálek, uses the concept of data depth to improve the classification method known as the -nearest neighbour. Simulation study which is presented here deals with the two-class classification problem in which the considered distributions belong to the family of skewed normal distributions.
Dear, Roger, Drezner, Zvi (1997)
Journal of Applied Mathematics and Decision Sciences
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