Leader navaei (5 risultati)

Taschenbuch. Condizione: Neu. Identification of Optimality of Multiple Hypotheses Testing | Basic, Concepts, Methods | Leader Navaei | Taschenbuch | 80 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783838382395 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Decision and estimation statistical theory share with information theory the common outlook of optimally using a set of random data, so this fields have been coming close together. Solved problems are particular cases in the generalizations of classical hypotheses testing and in relatively recent studies of statistical identification of distributions of randomly acting objects. The main aim of the present investigation is to solve the problem of studying the matrix E of error probabilities exponents of the optimal test for L 2 hypotheses by using the theory of large deviations for one and two independent objects. The second aim is solution of the problem of identification under reliability requirements of hypotheses concerning distribution of Markov simple homogenous stationary chain with a finite number of states. The study of this book recommend for Master and PhD students and Scientific research in branches of Applied mathematics, Statistics and also in Engineering. 80 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Navaei LeaderDr. Leader Navaei is a scientific member and the head of faculty of Applied Mathematics and Statistics of Payame Noor University (P.N.U), branch of Azarshahr city, Islamic Republic of Iran. His current research includ.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Decision and estimation statistical theory share with information theory the common outlook of optimally using a set of random data, so this fields have been coming close together. Solved problems are particular cases in the generalizations of classical hypotheses testing and in relatively recent studies of statistical identification of distributions of randomly acting objects. The main aim of the present investigation is to solve the problem of studying the matrix E of error probabilities exponents of the optimal test for L 2 hypotheses by using the theory of large deviations for one and two independent objects. The second aim is solution of the problem of identification under reliability requirements of hypotheses concerning distribution of Markov simple homogenous stationary chain with a finite number of states. The study of this book recommend for Master and PhD students and Scientific research in branches of Applied mathematics, Statistics and also in Engineering.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Decision and estimation statistical theory share with information theory the common outlook of optimally using a set of random data, so this fields have been coming close together. Solved problems are particular cases in the generalizations of classical hypotheses testing and in relatively recent studies of statistical identification of distributions of randomly acting objects. The main aim of the present investigation is to solve the problem of studying the matrix E of error probabilities exponents of the optimal test for L > 2 hypotheses by using the theory of large deviations for one and two independent objects. The second aim is solution of the problem of identification under reliability requirements of hypotheses concerning distribution of Markov simple homogenous stationary chain with a finite number of states. The study of this book recommend for Master and PhD students and Scientific research in branches of Applied mathematics, Statistics and also in Engineering.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…