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Probability. random variables and stochastic processes (4) (foreign elite latest Textbooks)(Chinese Edition)
Verlag:
Xi'an Jiaotong University Press, 2000
ISBN 10: 7560544584
ISBN 13: 9787560544588
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Anbieter: liu xing, Nanjing, JS, China
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paperback. Zustand: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: Unknown Pages: 686 in Publisher: Xi'an Jiaotong University Press. basic information Original Price: 82.00 yuan: (U.S.) Karolos Rees (United States) Pellet forward. Bao Zheng. Feng Dazheng translated Publisher: Xi'an Jiaotong University Press ISBN: 9787560544588 Pages: 686 Edition: 2 Binding: Paperback: 16 Published :2012 -8-1 printing time: Words: 1106000 Item ID: 22868232 content About A Karolos Rees. S U The Pellet probability. random variables and random process is a classic textbook written by the famous American scholar. Professor A Pape Rees. Since the advent of the 1965 first edition has been since the 4th edition has been used by many universities as related professional textbook for graduate students. It is characterized by profound theory aptly applied to actual projects. and thus by engineering professionals favor. Book (4th edition) on the basis of maintaining the style and the essence of the first three editions were made by a large number of amendments: Update about one-third of the chapters. including a few new themes and new Chapter 15. 16 ; increased by a large number of new examples to further clarify some of the complex concepts. so that readers can more easily understand them. Probability. random variables and stochastic processes available for radio communication systems. signal processing. control theory. optimization. filtering and other professional graduate and senior undergraduate students. but also for researchers and engineers and technicians in related fields Reference. Probability and random variables probability of the meaning of Chapter 1 of Introduction Translator's Preface Foreword 1.1 Introduction 1.2 Definitions 2.3 1.3 probability summarized 1.4 causality and randomness Chapter 2 probability axiom 2.1 Set Theory 2.2 probability space conditional probability Exercises Repeat the test 3 Chapter 3.1 Joint experimental 3.2 Bernoulli trial 3.3 4.1 Introduction 4.2 4.3 common random variable distribution function and the density function of Bernoulli's theorem and the game of chance Exercises Chapter 4. the concept of a random variable 4.4 4.5 binomial random variable conditional distribution characteristic function Exercises Chapter 6 binary random variables gradual approximation Exercises Chapter 5. a function of random variables 5.1 random variable g (x) of 5.2 g (x) distribution of 5.3 mean and variance of 5.4 Moment 5.5 6.1 bivariate distribution function 6.2 two yuan single function of the random variable binomial random variable with two functions 6.3 6.4 joint characteristic function joint moments 6.5 6.6 6.7 conditional expectation Exercises Chapter 7 conditional distribution of random variables sequence 7.1 General Concepts 7.2 conditional density. characteristic function and normal 7.3 square estimated the 7.4 random convergence and limit theorems 7.5 the significance of the random number and generate exercises Chapter 8 Statistics 8.1 Introduction 8.2 estimated 8.3 Parameter Estimation 8.4 Hypothesis testing exercises the second part of the random process of Chapter 9 of the general concept of 9.1 defined 9.2 system with random input 9.3 The power spectrum 9.4 Discrete time process Appendix 9A continuity. differential and integral Appendix 9B displacement operator and stationary process Exercises Chapter 10 random walks and its application noise modulation 10.4 10.3 10.1 10.2 Poisson point random walks and grapeshot cyclostationary process Appendix 10A Poisson summation formula 10.7 bispectrum 10.5 band-limited process and sampling theorem 10.6 deterministic signal noise and system identification Appendix 10B Schwarz inequality Exercises Chapter 11 spectrum indicates 11.1 decomposition and new interest rate 11.2 finite order system and state the variable 11.3 Fourier Series and K-L spectrum to expand 11.4 stochastic process Exercises Chapter 12 spectrum estimate. Bestandsnummer des Verkäufers EJ010841
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