Probability & Random Processes With One Thousand Exercises In Probability

Mathematical Statistics and Stochastic Processes  eBooks & eLearning

Posted by interes at March 18, 2014
Mathematical Statistics and Stochastic Processes

Mathematical Statistics and Stochastic Processes (ISTE) by Denis Bosq
English | 2012 | ISBN: 1848213611 | ISBN-13: 9781848213616 | 304 pages | PDF | 2,6 MB

Generally, books on mathematical statistics are restricted to the case of independent identically distributed random variables. In this book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This second case is very important for today’s practitioners.

Exercises in Probability (Problem Books in Mathematics) (Repost)  eBooks & eLearning

Posted by leonardo78 at Nov. 25, 2015
Exercises in Probability (Problem Books in Mathematics) (Repost)

Exercises in Probability (Problem Books in Mathematics)
Publisher: Springer | 2011 | ISBN: 1461288630 | 248 pages | PDF | 5,8 MB

The author, the founder of the Greek Statistical Institute, has based this book on the two volumes of his Greek edition which has been used by over ten thousand students during the past fifteen years. It can serve as a companion text for an introductory or intermediate level probability course.

Mathematical Statistics and Stochastic Processes (repost)  eBooks & eLearning

Posted by libr at May 15, 2017
Mathematical Statistics and Stochastic Processes (repost)

Mathematical Statistics and Stochastic Processes (ISTE) by Denis Bosq
English | 2012 | ISBN: 1848213611 | ISBN-13: 9781848213616 | 304 pages | PDF | 2,6 MB

Exercises in Probability  eBooks & eLearning

Posted by l3ivo at Dec. 22, 2020
Exercises in Probability

T. Cacoullos, "Exercises in Probability"
English | 1988 | ISBN: 0387967354 | 258 pages | PDF (scan) | 3 MB

Exercises in Probability (Problem Books in Mathematics) (repost)  eBooks & eLearning

Posted by arundhati at July 30, 2013
Exercises in Probability (Problem Books in Mathematics) (repost)

T. Cacoullos, "Exercises in Probability (Problem Books in Mathematics)"
1989 | ISBN-10: 0387967354 | 264 pages | PDF | 3,9 MB

Robert M. Gray, «Probability, Random Processes, and Ergodic Properties»  eBooks & eLearning

Posted by Alexpal at Aug. 17, 2006
Robert M. Gray, «Probability, Random Processes, and Ergodic Properties»

Robert M. Gray, «Probability, Random Processes, and Ergodic Properties»
Springer | ISBN 0387966552 | 1988 Year | DjVu | 0,84 Mb | 295 Pages

Exercises in Probability (Problem Books in Mathematics) by T. Cacoullos  eBooks & eLearning

Posted by BUGSY at May 1, 2015
Exercises in Probability (Problem Books in Mathematics) by T. Cacoullos

Exercises in Probability (Problem Books in Mathematics) by T. Cacoullos
English | Sep 26, 2011 | ISBN: 1461288630 | 250 Pages | PDF | 5 MB

The author, the founder of the Greek Statistical Institute, has based this book on the two volumes of his Greek edition which has been used by over ten thousand students during the past fifteen years. It can serve as a companion text for an introductory or intermediate level probability course.
Introduction to Random Processes, With Applications to Signals & Systems, Second Edition(Repost)

Introduction to Random Processes, With Applications to Signals & Systems, Second Edition by William A. Gardner
English | 1990 | ISBN: 0070228558 | 496 Pages | PDF | 12.19 MB

Probability Models in Engineering and Science  eBooks & eLearning

Posted by insetes at April 25, 2021
Probability Models in Engineering and Science

Probability Models in Engineering and Science By Haym Benaroya, Seon Mi Han, Seon Mi Han, Mark Nagurka
2005 | 740 Pages | ISBN: 0824723155 | PDF | 29 MB

Probability  eBooks & eLearning

Posted by AvaxGenius at March 11, 2022
Probability

Probability by Jim Pitman
English | PDF | 1993 | 564 Pages | ISBN : 0387979743 | 46.2 MB

This is a text for a one-quarter or one-semester course in probability, aimed at students who have done a year of calculus. The book is organised so a student can learn the fundamental ideas of probability from the first three chapters without reliance on calculus. Later chapters develop these ideas further using calculus tools. The book contains more than the usual number of examples worked out in detail.