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Applied Probability and Statistics / by Mario Lefebvre

Edition 1st ed. 2006.
Publisher (New York, NY : Springer New York : Imprint: Springer)
Year 2006
Language English
Size XVIII, 358 p : online resource
Authors *Lefebvre, Mario author
SpringerLink (Online service)
Subjects LCSH:Probabilities
LCSH:Statistics 
LCSH:Computer science -- Mathematics  All Subject Search
LCSH:Mathematical statistics
FREE:Probability Theory
FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
FREE:Probability and Statistics in Computer Science
Notes Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises
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
HTTP:URL=https://doi.org/10.1007/0-387-28505-9
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E-Book オンライン 電子ブック

Springer eBooks 9780387285054
電子リソース
EB00230849

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Material Type E-Book
Classification LCC:QA273.A1-274.9
DC23:519.2
ID 4000119793
ISBN 9780387285054

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