Probability and statistics for computer scientists. (2019)

• Record Type: Book
• Further Information: Note: Michael Baron.
• Authors: Baron, Michael, 1968-
• Contents: 1. Introduction and Overview; Making decisions under uncertainty Overview of this book Summary and conclusions Exercises I Probability and Random Variables 2. Probability; Events and their probabilities Outcomes, events, and the sample space Set operations Rules of Probability Axioms of Probability Computing probabilities of events Applications in reliability Combinatorics Equally likely outcomes Permutations and combinations Conditional probability and independence Summary and conclusions Exercises 3. Discrete Random Variables and Their Distributions; Distribution of a random variable Main concepts Types of random variables Distribution of a random vector Joint distribution and marginal distributions Independence of random variables Expectation and variance Expectation Expectation of a function Properties Variance and standard deviation Covariance and correlation Properties Chebyshev’s inequality Application to finance &n
• Edition: Third edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 519.20113; Probabilities -- Computer simulation; Mathematical statistics -- Computer simulation
• Languages: English
• ISBNs: 9781351697392; 9781351697408; 9781351697385; 9781315172286
• Related ISBNs: 9781138044487
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.