Table of contents

  1. Front Matter
    Pages i-xvii
  2. Pages 1-5
  3. Pages 55-156
  4. Pages 157-219
  5. Pages 221-252
  6. Pages 253-305
  7. Pages 307-338
  8. Back Matter
    Pages 339-356

About this book

Introduction

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 appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics.

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.

A separate solutions manual is available to instructors.

Keywords

Mathematica Random variable Stochastic processes calculus classification linear regression probability statistics stochastic process

Authors and affiliations

  • Mario Lefebvre
    • 1
  1. 1.Département de mathématiques et de génie industrielÉcole Polytechnique de Montréal, QuébecMontréalCanada

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-28505-9
  • Copyright Information Springer Science+Business Media LLC 2006
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-28454-5
  • Online ISBN 978-0-387-28505-4
  • About this book