Search Books
Precalculus The Grassmannian Variety: G…

Probability and Statistics for Computer Scientists

Author Baron, Michael
Publisher Chapman and Hall/CRC
Category Mathematics
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
157.14 USD
🛒 Buy New on Amazon 🇺🇸

✓ In Stock.

Share:
Book Details
ISBN / ASIN1439875901
ISBN-139781439875902
AvailabilityIn Stock.
Sales Rank802,501
CategoryMathematics
MarketplaceUnited States 🇺🇸

Description

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses.

New to the Second Edition

  • Axiomatic introduction of probability
  • Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap
  • More exercises at the end of each chapter
  • Additional MATLAB® codes, particularly new commands of the Statistics Toolbox

In-Depth yet Accessible Treatment of Computer Science-Related Topics
Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET).

Encourages Practical Implementation of Skills
Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.

Topics in Finite and Discrete Mathematics
View
Applications of Mathematics in Engineering and Economi…
View
Linear Algebra Supplement to Accompany Calculus with A…
View
Random Matrix Models and their Applications (Mathemati…
View
Continuous Crossed Products and Type III Von Neumann A…
View
First European Congress of Mathematics Paris, July 6-1…
View
Workshop Statistics: Discovery with Data, JMP Companio…
View
XXVI International Workshop on Geometrical Methods in …
View
Social Policy Reform in Hong Kong and Shanghai: A Tale…
View