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eBook Basic Probability Theory (Dover Books on Mathematics) ePub

eBook Basic Probability Theory (Dover Books on Mathematics) ePub

by Robert B. Ash

  • ISBN: 0486466280
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Robert B. Ash
  • Language: English
  • Publisher: Dover Publications (June 26, 2008)
  • Pages: 352
  • ePub book: 1576 kb
  • Fb2 book: 1602 kb
  • Other: mbr mobi lrf lit
  • Rating: 4.7
  • Votes: 594

Description

Series: Dover Books on Mathematics. Paperback: 352 pages. It does not cover measure theory (touches lightly at some places) but approaches continous probability from Riemann integral approach - so this is a basic probability book

Series: Dover Books on Mathematics. Publisher: Dover Publications (June 26, 2008). It does not cover measure theory (touches lightly at some places) but approaches continous probability from Riemann integral approach - so this is a basic probability book. I have been out of school for over 10 years and this puts me right at home. I have tried several other books and none came close to this one.

Поиск книг BookFi BookSee - Download books for free. Basic Probability Theory (Dover Books on Mathematics). Robert B. Ash. Категория: Математика. Ash, Catherine A. Doléans-Dade. Категория: Экономика.

Series: Dover Books on Mathematics.

Basic Probability Theory book. Start by marking Basic Probability Theory (Dover Books on Mathematics) as Want to Read

Basic Probability Theory book. Start by marking Basic Probability Theory (Dover Books on Mathematics) as Want to Read: Want to Read savin. ant to Read.

Geared toward advanced undergraduates and graduate students, this introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book.

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The book tends to treat probability as a theory on its ow. Going beyond the conventional mathematics of probability theory, this book views the subject in a wider context.

12. Probability Theory: A Concise Course (Dover Books on Mathematics) by . This book is not for everyone, as it does require a small degree of mathematical sophistication. But it will prove most useful for a very large audience. It discusses new results, along with applications of probability theory to a variety of problems.

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a. .

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Here the readers, with some knowledge of mathematics, will find an excellent treatment of the elements of probability together with numerous applications. Professor Y. A. Rozanov, an internationally known mathematician whose work in probability theory and stochastic processes has received wide acclaim, combines succinctness of style with a judicious selection of topics

This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than measure-theoretic concepts. Geared toward advanced undergraduates and graduate students, its sole prerequisite is calculus.Taking statistics as its major field of application, the text opens with a review of basic concepts, advancing to surveys of random variables, the properties of expectation, conditional probability and expectation, and characteristic functions. Subsequent topics include infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book.

Comments

Hinewen Hinewen
Luckily I bought this book based on a previous review and i can say that this is the best book (life savior) "for engineers" trying to learn Probability concepts.
It does not cover measure theory (touches lightly at some places) but approaches continous probability from Riemann integral approach - so this is a basic probability book.
I have been out of school for over 10 years and this puts me right at home. I have tried several other books and none came close to this one. Mathematicians will probably have a different opinion.
The book has worked out examples and solutions at the end. Primary aim of the author is for the reader to understand the concepts.
I am going to buy all other topics by the author whether I need them right away or not.
I just like to support good authors, which are so rare :). By the way this book is available for free download from uiuc website i think, if you want to evaluate.
Zetadda Zetadda
We tried to use this book for our mini-course we're running on probability for my colleagues in the lab. We need this stuff for data analysis in a biology lab, where the statistical methods get extremely complex. However, we had to abandon it by chapter two and find another book. There is some great material and exercises. And the author tries to bring things down to earth with long bits of motivation. But we found the long sojourns were just adding confusion and not helping. We found the book tried too hard to be rigorous with the whole issue of non-measurable sets and sigma-algebras, but it was just laid out in a far too convoluted and confusing manner that just frustrated the students. I would chalk this up to the nature of the subject except that I was able to distill the material into a much more palatable presentation for each section. I was able to get to the point and bullet-point out a clear road map to get their heads around the material, and without doing that they were completely lost. And these are smart people with higher degrees, masters and PhDs and they have all the calculus background necessary, we even spent a year reviewing calculus with all the proofs, just before reading this book. We are now going to use Harold Larson's book on probability instead, which side-steps the whole sigma-algebra thing altogether.
Chilldweller Chilldweller
Although at first the book is off-putting because of the small print, I found the book to be the best resource I have for intro to probability and mathematical stats. The exercises are perfect and slowly build the reader's understanding. I think what all probability and stat books are missing are pictures/diagrams/graphs, so compared to other books it is doing well...still would like more pics.
Tisicai Tisicai
I think after searching for many books, I have found the book which will direct me all way through the statistics major.
Tenius Tenius
I love the price of the text. I used this for a senior-level probability course. Although the preface says all you need is calculus, you really need some experience with proof writing to truly "get" this text. I believe it is better suited for early grad students or mathematicians looking to get into a new field. I also want to complain about the problems in the text. Frequently the techniques needed to complete the problems at the end of the chapter are not discussed in the previous section. This text was very hard for my undergraduate class to use. We had to supplement heavily with other texts. Also the notation is not consistent with other popular probability texts, which made this even more difficult to use with undergraduates.
Llallayue Llallayue
The BEST option for learning basic probability. It has everything you may need for a first course and the style of Ash is one of my prefered ones. Really good buy.
Beydar Beydar
Great book arrived in perfect timing
OK