Menu
About The Book Probability And Queueing Theory |
Book Summary: |
Designed as a textbook for the B.E./B.Tech. students of Computer Science and Engineering and Information Technology, this book provides the fundamental concepts and applications of probability and queueing theory. Beginning with a discussion on probability theory, the text analyses in detail the random variables, standard distributions, Markovian and non-Markovian queueing models with finite and infinite capacity, and queue networks. The topics are dealt with in a well-organized sequence with proper explanations along with simple mathematical formulations. KEY FEATURES : Gives concise and clear presentation of the concepts. Provides a large number of illustrative examples, in particular for queueing models and queueing networks, with step-by-step solutions to help students comprehend the concepts with ease. Includes questions asked in university examinations with their solutions for the last several years to help students in preparing for examinations. Provides hints and answers to unsolved problems. Incorporates chapter-end exercises to drill the students in self-study. |
Table of Contents: |
Preface 1. PROBABILITY THEORY 2. RANDOM VARIABLES 3. STANDARD DISTRIBUTIONS 4. TWO-DIMENSIONAL RANDOM VARIABLES 5. RANDOM PROCESSES 6. QUEUEING THEORY 7. NON-MARKOVIAN QUEUES AND QUEUE NETWORKS Index |
Probability and queueing theory ebook free download. Probability and queuing theory g. Probability and statistics singaravelu pdf. An Introduction to Basic Statistics and Probability – p. Probability Distributions The probability distribution for a random variable X gives the possible values for X,. An Introduction to Basic Statistics and Probability – p. Probability Mass Function f(x).
We're sorry; this specific copy is no longer available. AbeBooks has millions of books. We've listed similar copies below.
Description:
![Queueing Queueing](/uploads/1/2/6/2/126291798/401867140.jpg)
![Free Free](/uploads/1/2/6/2/126291798/863600075.jpg)
Probability, Statistics and Queuing Theory is considered to be a â toughâ subject by most engineering and science students all over the world. What Professor Sundarapandian with his indepth knowledge and rich and long experience strives to do is to make the concepts very clear and comprehensible to the students by his lucid presentation and illustrative approach. The book analyses various types of random processes, spectral density functions and their applications to linear systems. Besides, it deals with the basics of queuing theory with a clear exposition of the five important queuing models. The text gives a detailed description of such topics as random variables, standard probability distribution, central limit theorem, random processes and spectral theory. The text is profusely illustrated with examples and diagrams so as to make this rigorous subject more understandable to the students. KEY FEATURES : The text is comprehensive and the presentation practical. Over 625 worked-out Examples, and over 440 Problem Sets. Answers to all section-end problems. Intended primarily as a text for undergraduate students of Engineering for their courses on Probability, Statistics, Random Processes and Queuing Theory, the book will also be extremely useful for undergraduate and postgraduate students of Science and postgraduate students of Engineering pursuing these courses. CONTENTS: Preface 1 PROBABILITY 1.1 Brief History of Probability 1.2 Sample Space and Events 1.3 Classical and Empirical Probability 1.4 Axiomatic Definition of Probability 1.5 Conditional Probability 1.6 Total Probability 1.7 Bayesâ Theorem 2 RANDOM VARIABLE 2.1 Definition of a Random Variable 2.2 Distribution Function of a Random Variable 2.3 Discrete Random Variable 2.4 Continuous Random Variable 2.5 Mathematical Expectation 2.6 Chebyshevâ s Inequality 2.7 Moments of a Random Variable 2.8 Moment Generating Function 2.9 Characteristic Function 3 STANDARD PROBABILITY DISTRIBUTIONS 3.1 Degenerate Distribution 3.2 Bernoulli Distribution 3.3 Binomial Distribution 3.4 Poisson Distribution 3.5 Geometric Distribution 3.6 Negative Binomial Distribution 3.7 Uniform Distribution 3.8 Exponential Distribution 3.9 Gamma Distribution 3.10 Weibull Distribution 3.11 Normal Distribution 3.12 Functions of a Random Variable 4 TWO-DIMENSIONAL RANDOM VARIABLES 4.1 Joint Distribution Functions 4.2 Marginal Distributions 4.3 Conditional Distributions 4.4 Expectation 4.5 Sums of Independent Random Variables 4.6 Functions of Random Variables 4.7 Covariance 4.8 Conditional Expectation 4.9 Correlation and Regression 4.10 Central Limit Theorem 5 RANDOM PROCESSES 5.1 Definition and Description of Random Processes 5.2 Stationary Random Processes 5.3 Autocorrelation and Cross-correlation Functions 5.4 Ergodic Process 5.5 Markov Process 5.6 Binomial, Poisson and Normal Processes 5.7 Sine Wave Process 5.8 Birth and Death Process Printed Pages: 840. Bookseller Inventory # 11830
About this title:
Synopsis: What Professor Sundarapandian with his indepth knowledge and rich and long experience strives to do is to make the concepts very clear and compre- hensible to the students by his lucid presentation and illustrative approach. The book analyses various types of random processes, spectral density functions and their applications to linear systems. Besides, it deals with the basics of queueing theory with a clear exposition of the five important queueing models. The text gives a detailed description of such topics as random variables, standard probability distribution, central limit theorem, random processes and spectral theory. The text is profusely illustrated with examples and diagrams so as to make this rigorous subject more understandable to the students.
'About this title' may belong to another edition of this title.