3 edition of **Probability and statistics for computer scientists** found in the catalog.

- 359 Want to read
- 40 Currently reading

Published
**2007**
by Chapman & Hall/CRC in Boca Raton, FL
.

Written in English

- Probabilities,
- Textbooks,
- Mathematical statistics,
- Computer simulation

**Edition Notes**

Includes index.

Statement | Michael Baron |

Classifications | |
---|---|

LC Classifications | QA273 .B2575 2007 |

The Physical Object | |

Pagination | xi, 413 p. : |

Number of Pages | 413 |

ID Numbers | |

Open Library | OL24813004M |

ISBN 10 | 1584886412 |

LC Control Number | 2006049167 |

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Description of the book "Probability and Statistics for Computer Scientists": 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. This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine : Springer International Publishing.

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Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses.

Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book Cited by: Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, compute probabilities and forecasts, and evaluate performance of computer systems and networks.4/5(6).

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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. Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions, select stochastic models, com In modern computer science, software engineering, and other fields, the need arises to make 4/5.

Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich.

Computing Reviews Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses.

With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features: • A treatment of random variables and expectations dealing primarily with the discrete case. A unique probability guide for computer science. While many computer science curricula include only an introductory course on general probability, there is a recognized need for further study of this mathematical discipline within the specific context of computer by: Think Stats: Probability and Statistics for Programmers.

Author: Allen B. Downey. You’ll find this book at the top of most data science book lists. The book comes with plenty of resources. Use the above link to go to the book home page and you’ll see resources like data files, codes, solutions, etc. Solutions Manual for Probablility and Statistics for Computer Scientists book.

Read 8 reviews from the world's largest community for readers/5. Probability and Statistics for Computer Science develops introductory topics in probability with this particular emphasis, providing computer science students with an invaluable resource in their continued studies and professional research.

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Our interactive player makes it easy to find solutions to Probability And Statistics For Computer Scientists 2nd Edition problems you're working on - just go to the chapter for your book. Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced.

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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.

About the Book. Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.5/5(1).

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Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating 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.

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.

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 /5(9).e-books in Probability & Statistics category.

Probability and Statistics: A Course for Physicists and Engineers. by - De Gruyter Open, This is an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing.- Buy Probability and Statistics for Computer Scientists book online at best prices in India on Read Probability and Statistics for Computer Scientists book reviews & author details and more at Free delivery on qualified orders/5(2).