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Applied probability and statistics / Mario Lefebvre.

By: Material type: TextTextPublisher: New York : Springer, [2006]Copyright date: ©2006Description: 356 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0387284540
  • 9780387284545
Subject(s): DDC classification:
  • 519.2 22
LOC classification:
  • QA273.3 .L44 2006
Available additional physical forms:
  • Also available in an electronic format.
Contents:
1. Introduction -- 2. Elementary probabilities -- 3. Random variables -- 4. Random vectors -- 5. Stochastic processes -- 6. Estimation and testing -- 7. Simple linear regression -- App. Mathematical formulas -- App. B. Quantiles of the sampling distributions -- App. C. Classification of the exercises.
Summary: "This textbook is designed for a one-term course on Probability and Statistics for Applied Mathematics, Engineering and Computer Science students. The exposition, enriched by many examples from real life, unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. Additionally, there are interesting historical notes, along with numerous exercises and solutions, and a useful bibliography and index"--Provided by publisher.Review: "This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally there are historical notes on the mathematicians mentioned throughout and a useful bibliography." "This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general."--BOOK JACKET.
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Includes bibliographical references (pages 351-352) and index.

1. Introduction -- 2. Elementary probabilities -- 3. Random variables -- 4. Random vectors -- 5. Stochastic processes -- 6. Estimation and testing -- 7. Simple linear regression -- App. Mathematical formulas -- App. B. Quantiles of the sampling distributions -- App. C. Classification of the exercises.

"This textbook is designed for a one-term course on Probability and Statistics for Applied Mathematics, Engineering and Computer Science students. The exposition, enriched by many examples from real life, unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. Additionally, there are interesting historical notes, along with numerous exercises and solutions, and a useful bibliography and index"--Provided by publisher.

"This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally there are historical notes on the mathematicians mentioned throughout and a useful bibliography." "This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general."--BOOK JACKET.

Also available in an electronic format.

Machine converted from AACR2 source record.

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