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Elements of Applied Stochastic Processes

1972 Mathematics
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Release : 1972
Genre : Mathematics
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Book Synopsis Elements of Applied Stochastic Processes by : U. Narayan Bhat

Download or read book Elements of Applied Stochastic Processes written by U. Narayan Bhat. This book was released on 1972. Available in PDF, EPUB and Kindle. Book excerpt: Integration of theory and application offers improved teachability. * Provides a comprehensive introduction to stationary processes and time series analysis. * Integrates a broad set of applications into the text. * Utilizes a wealth of examples from research papers and monographs.

Elements of Applied Stochastic Processes, Third Ed Ition

2002-12-01
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Release : 2002-12-01
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Book Rating : 420/5 ( reviews)

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Book Synopsis Elements of Applied Stochastic Processes, Third Ed Ition by : Bhat

Download or read book Elements of Applied Stochastic Processes, Third Ed Ition written by Bhat. This book was released on 2002-12-01. Available in PDF, EPUB and Kindle. Book excerpt:

Elements of Applied Stochastic Processes

1984-10-25 Mathematics
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Release : 1984-10-25
Genre : Mathematics
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Book Synopsis Elements of Applied Stochastic Processes by : U. Narayan Bhat

Download or read book Elements of Applied Stochastic Processes written by U. Narayan Bhat. This book was released on 1984-10-25. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Queueing Theory, 2nd Edition Donald Gross and Carl M. Harris A graduate text and reference treating queueing theory from the development of standard models to applications. The emphasis is on real analysis of queueing systems, applications, and problem solving. It has been brought up-to-date by modernizing older treatments. 1985 (0 471-89067-7) 475 pp. Multivariate Descriptive Analysis Correspondence Analysis and Related Techniques for Large Matrices Ludovic Lebart, Alain Morineau and Kenneth M. Warwick Presents a set of statistical methods for exploratory analysis of large date sets and categorical data. This unique approach uses graphical aspects of multidimensional scaling techniques within the context of exploratory data analysis. 1984 (0 471-86743-8) 231 pp. Introduction to Linear Regression Analysis Douglas C. Montgomery and Elizabeth A. Peck A definitive introduction to linear regression analysis covering basic topics as well as recent approaches in the field. It blends theory and application in a way that enables readers to apply regression methodology in a variety of practical settings. Many detailed examples drawn directly from various fields of engineering, physical science, and the management sciences provide clear guidance to the use of the techniques. The interface with widely available computer programs for regression analysis is illustrated throughout with numerous actual computer printouts. 1982 (0 471-05850-5) 504 pp.

Basics of Applied Stochastic Processes

2009-01-24 Mathematics
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Release : 2009-01-24
Genre : Mathematics
Kind : eBook
Book Rating : 326/5 ( reviews)

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Book Synopsis Basics of Applied Stochastic Processes by : Richard Serfozo

Download or read book Basics of Applied Stochastic Processes written by Richard Serfozo. This book was released on 2009-01-24. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time, renewal and regenerative processes, Poisson processes, and Brownian motion. This volume gives an in-depth description of the structure and basic properties of these stochastic processes. A main focus is on equilibrium distributions, strong laws of large numbers, and ordinary and functional central limit theorems for cost and performance parameters. Although these results differ for various processes, they have a common trait of being limit theorems for processes with regenerative increments. Extensive examples and exercises show how to formulate stochastic models of systems as functions of a system’s data and dynamics, and how to represent and analyze cost and performance measures. Topics include stochastic networks, spatial and space-time Poisson processes, queueing, reversible processes, simulation, Brownian approximations, and varied Markovian models. The technical level of the volume is between that of introductory texts that focus on highlights of applied stochastic processes, and advanced texts that focus on theoretical aspects of processes.

The Elements of Stochastic Processes with Applications to the Natural Sciences

1991-01-16 Mathematics
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Release : 1991-01-16
Genre : Mathematics
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Book Rating : 680/5 ( reviews)

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Book Synopsis The Elements of Stochastic Processes with Applications to the Natural Sciences by : Norman T. J. Bailey

Download or read book The Elements of Stochastic Processes with Applications to the Natural Sciences written by Norman T. J. Bailey. This book was released on 1991-01-16. Available in PDF, EPUB and Kindle. Book excerpt: Develops an introductory and relatively simple account of the theory and application of the evolutionary type of stochastic process. Professor Bailey adopts the heuristic approach of applied mathematics and develops both theoretical principles and applied techniques simultaneously.

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