Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hsu, Hwei P. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, N.Y. : McGraw-Hill Education, [2020].
Edición:Fourth edition.
Temas:
Probabilities > Outlines, syllabi, etc.
Random variables > Outlines, syllabi, etc.
Stochastic processes > Outlines, syllabi, etc.
STUDY AIDS / Study Guides
Electronic books.
Acceso en línea:Texto completo

MARC

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020 |a 1260453820 (e-ISBN) 
020 |a 9781260453812 (print-ISBN) 
020 |a 260453812 (print-ISBN) 
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100 1 |a Hsu, Hwei P.,   |e author. 
245 1 0 |a Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition /  |c Hwei P. Hsu. 
250 |a Fourth edition. 
264 1 |a New York, N.Y. :   |b McGraw-Hill Education,   |c [2020]. 
264 4 |c ?2020. 
300 |a 1 online resource (434 pages) :   |b illustrations. 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Cover --   |t Title Page --   |t Copyright Page --   |t Preface to The Second Edition --   |t Preface to The First Edition --   |t Contents --   |t CHAPTER 1 Probability --   |t 1.1 Introduction --   |t 1.2 Sample Space and Events --   |t 1.3 Algebra of Sets --   |t 1.4 Probability Space --   |t 1.5 Equally Likely Events --   |t 1.6 Conditional Probability --   |t 1.7 Total Probability --   |t 1.8 Independent Events --   |t CHAPTER 2 Random Variables --   |t 2.1 Introduction --   |t 2.2 Random Variables --   |t 2.3 Distribution Functions --   |t 2.4 Discrete Random Variables and Probability Mass Functions --   |t 2.5 Continuous Random Variables and Probability Density Functions --   |t 2.6 Mean and Variance --   |t 2.7 Some Special Distributions --   |t 2.8 Conditional Distributions --   |t CHAPTER 3 Multiple Random Variables --   |t 3.1 Introduction --   |t 3.2 Bivariate Random Variables --   |t 3.3 Joint Distribution Functions --   |t 3.4 Discrete Random Variables?Joint Probability Mass Functions --   |t 3.5 Continuous Random Variables?Joint Probability Density Functions --   |t 3.6 Conditional Distributions --   |t 3.7 Covariance and Correlation Coefficient --   |t 3.8 Conditional Means and Conditional Variances --   |t 3.9 N-Variate Random Variables --   |t 3.10 Special Distributions --   |t CHAPTER 4 Functions of Random Variables, Expectation, Limit Theorems --   |t 4.1 Introduction --   |t 4.2 Functions of One Random Variable --   |t 4.3 Functions of Two Random Variables --   |t 4.4 Functions of n Random Variables --   |t 4.5 Expectation --   |t 4.6 Probability Generating Functions --   |t 4.7 Moment Generating Functions --   |t 4.8 Characteristic Functions --   |t 4.9 The Laws of Large Numbers and the Central Limit Theorem --   |t CHAPTER 5 Random Processes --   |t 5.1 Introduction --   |t 5.2 Random Processes --   |t 5.3 Characterization of Random Processes --   |t 5.4 Classification of Random Processes --   |t 5.5 Discrete-Parameter Markov Chains --   |t 5.6 Poisson Processes --   |t 5.7 Wiener Processes --   |t 5.8 Martingales --   |t CHAPTER 6 Analysis and Processing of Random Processes --   |t 6.1 Introduction --   |t 6.2 Continuity, Differentiation, Integration --   |t 6.3 Power Spectral Densities --   |t 6.4 White Noise --   |t 6.5 Response of Linear Systems to Random Inputs --   |t 6.6 Fourier Series and Karhunen-Lo?ve Expansions --   |t 6.7 Fourier Transform of Random Processes --   |t CHAPTER 7 Estimation Theory --   |t 7.1 Introduction --   |t 7.2 Parameter Estimation --   |t 7.3 Properties of Point Estimators --   |t 7.4 Maximum-Likelihood Estimation --   |t 7.5 Bayes? Estimation --   |t 7.6 Mean Square Estimation --   |t 7.7 Linear Mean Square Estimation --   |t CHAPTER 8 Decision Theory --   |t 8.1 Introduction --   |t 8.2 Hypothesis Testing --   |t 8.3 Decision Tests --   |t CHAPTER 9 Queueing Theory --   |t 9.1 Introduction --   |t 9.2 Queueing Systems --   |t 9.3 Birth-Death Process --   |t 9.4 The M/M/1 Queueing System --   |t 9.5 The M/M/s Queueing System --   |t 9.6 The M/M/1/K Queueing System --   |t 9.7 The M/M/s/K Queueing System --   |t CHAPTER 10 Information Theory --   |t 10.1 Introduction --   |t 10.2 Measure of Information --   |t 10.3 Discrete Memoryless Channels --   |t 10.4 Mutual Information --   |t 10.5 Channel Capacity --   |t 10.6 Continuous Channel --   |t 10.7 Additive White Gaussian Noise Channel --   |t 10.8 Source Coding --   |t 10.9 Entropy Coding --   |t APPENDIX A Normal Distribution --   |t APPENDIX B Fourier Transform --   |t B.1 Continuous-Time Fourier Transform --   |t B.2 Discrete-Time Fourier Transform --   |t INDEX. 
530 |a Also available in print edition. 
533 |a Electronic reproduction.   |b New York, N.Y. :   |c McGraw Hill,   |d 2020.   |n Mode of access: World Wide Web.   |n System requirements: Web browser.   |n Access may be restricted to users at subscribing institutions. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 |a Description based on e-Publication PDF. 
650 0 |a Probabilities  |x Outlines, syllabi, etc. 
650 0 |a Random variables  |x Outlines, syllabi, etc. 
650 0 |a Stochastic processes  |x Outlines, syllabi, etc. 
650 7 |a STUDY AIDS / Study Guides   |2 bisacsh. 
655 0 |a Electronic books. 
776 0 |i Print version:   |t Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition,   |d New York, N.Y. : McGraw-Hill Education, [2020].   |z 9781260453812 
856 4 0 |u https://accessengineeringlibrary.uam.elogim.com/content/book/9781260453812  |z Texto completo 

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