Advances on Methodological and Applied Aspects of by N. Balakrishnan PDF

By N. Balakrishnan

ISBN-10: 1560329807

ISBN-13: 9781560329800

This is often certainly one of volumes that units forth invited papers awarded on the foreign Indian Statistical organization convention. This quantity emphasizes developments in technique and purposes of likelihood and information. The chapters, representing the guidelines of forefront researchers at the subject, current a number of diverse subspecialties, together with utilized likelihood, types and purposes, estimation and trying out, powerful inference, regression and layout and pattern measurement method. The textual content additionally totally describes the purposes of those new principles to undefined, ecology, biology, healthiness, economics and administration. Researchers and graduate scholars in mathematical research, in addition to likelihood and statistics execs in undefined, will examine a lot from this quantity.

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1965), Problems of statistical inference for birth-and-death queueing models, Operations Research, 13, 343–357.

1997). Dshalalow), Chapter 13, pp. 351–394. Billingsley, P. (1961). Statistical Inference for Markov Processes, University Chicago Press, Chicago. B. (1957). Maximum likelihood estimate in a simple queue, Annals of Mathematical Statistics, 28, 1036–1040. R. (1965). Wilkinson), University of North Carolina at Chapel Hill, NC. C. (1986). Integer-parameter estimation in discrete distributions, Communications in Statistics—Theory and Methods, 15, 709–725. L. M. (1972). Maximum likelihood estimation for queues with state dependent service, Sankhya-, Series A, 34, 65–80.

2 we describe Moran’s discrete time model for the finite dam. 4. 2 MORAN’S MODEL FOR THE FINITE DAM Moran’s discrete time model for a dam (water reservoir) is the following. A dam of finite capacity is designed to meet the demand for electric power (expressed in terms of the volume of water required to produce it) or for water to be supplied to a city. The demand for water at time n is m (

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Advances on Methodological and Applied Aspects of Probability and Statistics by N. Balakrishnan


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