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Probability and Statistics for Computer Scientists

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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.

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Modern Control Technology: Components and Systems
Modern Control Technology: Components and Systems
Modern Control Technology: Components and Systems, 2nd Edition provides an introduction to automatic control systems and components that is both comprehensive and up-to-date. Logically organized, this book takes the reader on a journey through a control system. Each chapter examines a different functional part, followed by discussion of control...
Advances in Computers, Volume 67: Web Technology
Advances in Computers, Volume 67: Web Technology
This volume is number 67 in the series Advances in Computers that began back in 1960. This is the longest continuously published series of books that chronicles the evolution of the computer industry. Each year three volumes are produced presenting approximately 20 chapters that describe the latest technology in the use of computers today. Volume...
Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Deadline Scheduling for Real-Time Systems - EDF and Related Algorithms
Many real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-time systems, static scheduling algorithms are quite restrictive and...

Developing Virtual Reality Applications: Foundations of Effective Design
Developing Virtual Reality Applications: Foundations of Effective Design
This book, Developing Virtual Reality Applications: Foundations of Effective Design, has been many years in the making. Our interest in virtual reality came about as an outgrowth of our interest in, and our day-to-day work in scientific visualization. In the early 1990s the state-of-the-art in computer graphics used for scientific visualization was...
Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Human Computation (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the...

Algebra 2, Student Edition
Algebra 2, Student Edition

THE PROGRAM STUDENTS NEED; THE FOCUS TEACHERS WANT!

Glencoe Algebra 2 is a key program in our vertically aligned high school mathematics series developed to help all students achieve a better understanding of mathematics and improve their mathematics scores on today’s high-stakes assessments.

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