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Schaum's Outline of Probability, Random Variables, and Random Processes, 4/Ed > 확률론

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Schaum's Outline of Probability, Random Variables, and Random Processes, 4/Ed
히트도서
판매가격 29,000원
저자 Hwei P. Hsu
도서종류 외국도서
출판사 McGraw-Hill
발행언어 영어
발행일 2019
페이지수 432
ISBN 9781260453812
배송비결제 주문시 결제
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  • 도서 정보

    도서 상세설명

    Table of Contents

    Preface to The Second Edition
    Preface to The First Edition
    Contents
    CHAPTER 1 Probability
    1.1 Introduction
    1.2 Sample Space and Events
    1.3 Algebra of Sets
    1.4 Probability Space
    1.5 Equally Likely Events
    1.6 Conditional Probability
    1.7 Total Probability
    1.8 Independent Events
    Solved Problems
    CHAPTER 2 Random Variables
    2.1 Introduction
    2.2 Random Variables
    2.3 Distribution Functions
    2.4 Discrete Random Variables and Probability Mass Functions
    2.5 Continuous Random Variables and Probability Density Functions
    2.6 Mean and Variance
    2.7 Some Special Distributions
    2.8 Conditional Distributions
    Solved Problems
    CHAPTER 3 Multiple Random Variables
    3.1 Introduction
    3.2 Bivariate Random Variables
    3.3 Joint Distribution Functions
    3.4 Discrete Random Variables—Joint Probability Mass Functions
    3.5 Continuous Random Variables—Joint Probability Density Functions
    3.6 Conditional Distributions
    3.7 Covariance and Correlation Coefficient
    3.8 Conditional Means and Conditional Variances
    3.9 N-Variate Random Variables
    3.10 Special Distributions
    Solved Problems
    CHAPTER 4 Functions of Random Variables, Expectation, Limit Theorems
    4.1 Introduction
    4.2 Functions of One Random Variable
    4.3 Functions of Two Random Variables
    4.4 Functions of n Random Variables
    4.5 Expectation
    4.6 Probability Generating Functions
    4.7 Moment Generating Functions
    4.8 Characteristic Functions
    4.9 The Laws of Large Numbers and the Central Limit Theorem
    Solved Problems
    CHAPTER 5 Random Processes
    5.1 Introduction
    5.2 Random Processes
    5.3 Characterization of Random Processes
    5.4 Classification of Random Processes
    5.5 Discrete-Parameter Markov Chains
    5.6 Poisson Processes
    5.7 Wiener Processes
    5.8 Martingales
    Solved Problems
    CHAPTER 6 Analysis and Processing of Random Processes
    6.1 Introduction
    6.2 Continuity, Differentiation, Integration
    6.3 Power Spectral Densities
    6.4 White Noise
    6.5 Response of Linear Systems to Random Inputs
    6.6 Fourier Series and Karhunen-Loéve Expansions
    6.7 Fourier Transform of Random Processes
    Solved Problems
    CHAPTER 7 Estimation Theory
    7.1 Introduction
    7.2 Parameter Estimation
    7.3 Properties of Point Estimators
    7.4 Maximum-Likelihood Estimation
    7.5 Bayes’ Estimation
    7.6 Mean Square Estimation
    7.7 Linear Mean Square Estimation
    Solved Problems
    CHAPTER 8 Decision Theory
    8.1 Introduction
    8.2 Hypothesis Testing
    8.3 Decision Tests
    Solved Problems
    CHAPTER 9 Queueing Theory
    9.1 Introduction
    9.2 Queueing Systems
    9.3 Birth-Death Process
    9.4 The M/M/1 Queueing System
    9.5 The M/M/s Queueing System
    9.6 The M/M/1/K Queueing System
    9.7 The M/M/s/K Queueing System
    Solved Problems
    CHAPTER 10 Information Theory
    10.1 Introduction
    10.2 Measure of Information
    10.3 Discrete Memoryless Channels
    10.4 Mutual Information
    10.5 Channel Capacity
    10.6 Continuous Channel
    10.7 Additive White Gaussian Noise Channel
    10.8 Source Coding
    10.9 Entropy Coding
    Solved Problems
    APPENDIX A Normal Distribution
    APPENDIX B Fourier Transform
    B.1 Continuous-Time Fourier Transform
    B.2 Discrete-Time Fourier Transform
    INDEX

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