000			03340cam a22002774a 4500
008			090820s2008 njua b 001 0 eng
020			_a0131471228
035			_a(Sirsi) u2334
040			_aEG-CaNU _cEG-CaNU _dEG-CaNU
042			_ancode
082	0	0	_a519.20246213 _2 22
100	1		_aLeon-Garcia, Alberto. _94235
245	1	0	_aProbability, statistics, and random processes for electrical engineering / _c Alberto Leon-Garcia.
250			_a3rd ed.
260			_aHarlow : _b Prentice Hall, _c c2008.
300			_axiv, 818 p. : _b ill. ; _c 25 cm.
500			_aFormerly CIP. _5 Uk
504			_aIncludes bibliographical references and index.
505	0		_aProbability Models in Electrical and Computer Engineering Mathematical models as tools in analysis and design Deterministic models Probability models Statistical regularity Properties of relative frequency The axiomatic approach to a theory of probability Building a probability model A detailed example: a packet voice transmission system Other examples Communication over unreliable channels Processing of random signals Resource sharing systems Reliability of systems Overview of book Summary Problems Basic Concepts of Probability Theory Specifying random experiments The sample space Events Set operations The axioms of probability Discrete sample spaces Continuous sample spaces Computing probabilities using counting methods Sampling with replacement and with ordering Sampling without replacement and with ordering Permutations of n distinct objects Sampling without replacement and without ordering Sampling with replacement and without ordering Conditional probability Bayes' Rule Independence of events Sequential experiments Sequences of independent experiments The binomial probability law The multinomial probability law The geometric probability law Sequences of dependent experiments A computer method for synthesizing randomness: random number generators Summary Problems Random Variables The notion of a random variable The cumulative distribution function The three types of random variables The probability density function Conditional cdf's and pdf's Some important random variables Discrete random variables Continuous random variables Functions of a random variable The expected value of random variables The expected value of X. The expected value of Y = g(X). Variance of X The Markov and Chebyshev Table of Contents provided by Publisher. All Rights Reserved.
520			_aThis is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews, summaries, checklists of important terms, annotated references, and a wide selection of fully worked-out real-world examples. In this edition, the Computer Methods sections have been updated and substantially enhanced and new problems have been added.
650		0	_aElectric engineering _x Mathematics. _9330
650		0	_aProbabilities. _94236
650		0	_aStochastic processes. _94237
700	1		_aLeon-Garcia, Alberto. _t Probability and random processes for electrical engineering. _94238
596			_a1
999			_c1448 _d1448