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.

Key Features:-

  • Axiomatic introduction of probability
  • Expanded coverage of statistical inference, including standard errors of estimates and their estimat
  • More exercises at the end of each chapter
  • Additional MATLAB® codes, particularly new commands of the Statistics Toolbox

More Details about Probability and Statistics for Computer Scientists

General Information  
Author(s)Michael Baron
PublisherT and F CRC
Publish YearJanuary 2013