Authors and Editors. Kishor S Trivedi at Duke University · Kishor S Trivedi. Duke University. Abstract. This is the second edition (that is revised. DOI: /RG Export this citation. Kishor S Trivedi at Duke University · Kishor S Trivedi. Duke University. Abstract. New paperback version of . Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition, offers a comprehensive introduction to probabiliby, .

Author: Dudal Tujinn
Country: Suriname
Language: English (Spanish)
Genre: Business
Published (Last): 22 October 2016
Pages: 148
PDF File Size: 12.12 Mb
ePub File Size: 10.65 Mb
ISBN: 535-3-96894-902-1
Downloads: 49588
Price: Free* [*Free Regsitration Required]
Uploader: Tygotaur

Probability and Statistics with Reliability, Queuing and Computer Science ApplicationsSecond Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. How to write a great review. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects.

Verification, Model Checking, and Abstract Interpretation. Performance Modeling and Design of Computer Systems.

Modeling and Reasoning with Bayesian Networks. Core Concepts in Data Analysis: The text emphasizes on applications, illustrating each theoretical concept by solved examples relating to algorithm analysis or communication related problems.

You can remove the unavailable item s now or we’ll automatically remove it at Checkout.


Handbook of Monte Carlo Methods. It prepares the student for solving practical stochastic modelling problems, and for the more advanced Reliability and Availability Engineering. My library Help Advanced Book Search. Delayed and Network Queues. You’ve successfully reported this review.

Welcome to Hosein Yarmand ‘s Home Page

Item s unavailable for purchase. Quantitative Methods in Supply Chain Management. Statistical Models in S. Classification, Parameter Estimation and State Estimation. Algorithms and Programs of Dynamic Mixture Estimation. Computer-Hardware Evaluation of Mathematical Functions. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and probabilkty, fault tolerance, and performance.

Probability & Statistics with Reliability, Queuing and Computer Science Applications

Continue shopping Checkout Continue shopping. Uncertain Rule-Based Fuzzy Systems. Operations Research and Cyber-Infrastructure. Automated Technology for Verification and Analysis.

Your display name should be at least 2 characters long. Kernel Methods and Machine Probabiloty. Summarization, Reliabilit and Visualization. Machine Learning with R. At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information.

Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. Fault Detection and Diagnosis in Engineering Systems. Design of Modern Communication Networks. An Instructor’s Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.


We prove this result by induction on the number of events n. Handbook of Approximation Algorithms and Metaheuristics.

Join Kobo & start eReading today

Mathematical Foundations of Computer Networking. A Practical Guide to Averaging Functions. An Introduction to Machine Learning.

We appreciate your feedback. Bayesian Essentials with R. Introduction to Deep Learning Using R.

The title should be at least 4 characters long. Assume inductively that Rd holds for a union of n — 1 events. Uncertainty and Optimization in Structural Mechanics.

Guide to Intelligent Data Analysis. The review must be at least 50 characters long. Data Mining and Analysis. Linear Programming and Network Flows. The prerequisites are a knowledge of calculus, a course on introduction to reliabilitg programming, and an understanding of computer organization. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering.

Kernel Methods for Pattern Trivedii. Please review your cart.