A comprehensive textbook for undergraduate courses in introductory probability. Offers a case study approach, with examples from engineering and the social and life sciences. Updated second edition includes advanced material on stochastic processes. Suitable for junior and senior level courses in industrial engineering, mathematics, business, biology, and social science departments.
Sample Spaces and Events.
Random Variables and Their Distributions.
Sets of Random Variables and Random Sequences.
Functions of Random Variables.
Fitting Distributions to Data.
Random Processes: Introduction and Examples.
Discrete Parameter Markov Chains.
Continuous Parameter Markov Chains.
Limiting Distribution of Continuous Parameter MarkovProcesses.
Introduction to Queueing Theory.
Author and Subject Index.
Series: Wiley Series in Probability & Mathematical Statistics
Tertiary; University or College
Number Of Pages: 336
Published: 18th January 1985
Country of Publication: US
Dimensions (cm): 22.9 x 15.8
Weight (kg): 0.62
Edition Number: 1
Edition Type: Revised