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Probability and random processes / Venkatarama Krishnan and Kavitha Chandra.

By: Contributor(s): Material type: TextTextPublication details: New Jersey : John Wiley, ©2016.Edition: 2nd edDescription: xv, 506 p. : illustrations ; 29 cmISBN:
  • 9781118923139
Subject(s): Additional physical formats: Online version:: Probability and random processesDDC classification:
  • 519.2 23 K92
Contents:
Chapter 1: Sets, Fields, and Events -- Chapter 2: Probability Space and Axioms -- Chapter 3: Basic Combinatorics -- Chapter 4: Discrete Distributions -- Chapter 5: Random Variables -- Chapter 6: Continuous Random Variables and Basic Distributions -- Chapter 7: Other Continuous Distributions -- Chapter 8: Conditional Densities and Distributions --- Chapter 9: Joint Densities and Distributions -- Chapter 10: Moments and Conditional Moments -- Chapter 11: Characteristic Functions and Generating Functions -- Chapter 12: Functions of a Single Random Variable -- Chapter 13: Functions of Multiple Random Variables -- Chapter 14: Inequalities, Convergences, and Limit Theorems-- Chapter 15: Computer Methods for Generating Random Variates -- Chapter 16: Elements of Matrix Algebra -- Chapter 17: Random Vectors and Mean-Square Estimation -- Chapter 18: Estimation Theory -- Chapter 19: Random Processes -- Chapter 20: Classification of Random Processes -- Chapter 21: Random Processes and Linear Systems -- Chapter 22: Weiner and Kalman Filters -- Chapter 23: Probabilistic Modeling in Traffic Engineering -- Chapter 24: Probabilistic Methods in Transmission Tomography -- Appendices.
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Includes bibliographical references and index.

Chapter 1: Sets, Fields, and Events --
Chapter 2: Probability Space and Axioms --
Chapter 3: Basic Combinatorics --
Chapter 4: Discrete Distributions --
Chapter 5: Random Variables --
Chapter 6: Continuous Random Variables and Basic Distributions --
Chapter 7: Other Continuous Distributions --
Chapter 8: Conditional Densities and Distributions ---
Chapter 9: Joint Densities and Distributions --
Chapter 10: Moments and Conditional Moments --
Chapter 11: Characteristic Functions and Generating Functions --
Chapter 12: Functions of a Single Random Variable --
Chapter 13: Functions of Multiple Random Variables --
Chapter 14: Inequalities, Convergences, and Limit Theorems--
Chapter 15: Computer Methods for Generating Random Variates --
Chapter 16: Elements of Matrix Algebra --
Chapter 17: Random Vectors and Mean-Square Estimation --
Chapter 18: Estimation Theory --
Chapter 19: Random Processes --
Chapter 20: Classification of Random Processes --
Chapter 21: Random Processes and Linear Systems --
Chapter 22: Weiner and Kalman Filters --
Chapter 23: Probabilistic Modeling in Traffic Engineering --
Chapter 24: Probabilistic Methods in Transmission Tomography --
Appendices.

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