- Gebundene Ausgabe: 656 Seiten
- Verlag: John Wiley & Sons; Auflage: 4 (9. März 2012)
- Sprache: Englisch
- ISBN-10: 1118122372
- ISBN-13: 978-1118122372
- Größe und/oder Gewicht: 17,8 x 4,6 x 25,7 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 384.207 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
- Komplettes Inhaltsverzeichnis ansehen
Probability and Measure: Anniversary Edition (Wiley Series in Probability and Statistics) (Englisch) Gebundene Ausgabe – Special Edition, 9. März 2012
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"Like the previous editions, this Anniversary edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory." ("Int. J. Microstructure and Materials Properties," 1 February 2013)
"Like the previous editions, this Anniversary edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory." (Int. J. Microstructure and Materials Properties, 1 February 2013)
-Like the previous editions, this Anniversary edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.- (Int. J. Microstructure and Materials Properties, 1 February 2013)
Probability and Measure Anniversary Edition
This Anniversary Edition of Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining intact the unique approach of the Third Edition, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory, which is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, stochastic processes, Brownian motion, and ergodic theory. The Anniversary Edition features a new, pedagogically sound interior design with an emphasis on open space. Like the previous editions, this Anniversary Edition will be well received by students of mathematics, statistics, economics, and a wide variety of disciplines that require a solid understanding of probability theory.
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This reformatted edition from the publishing company (Wiley) is literally PACKED WITH ERRORS that didn't exist in previous editions!
They took a well established book from a recently deceased author, they reformatted it (did not alter it) and put it in a fancier cover.
But in the process of reformatting, they didn't even bother reading it! NOT ONCE!
. . . . . . . . . . . . . . . . . .
UPDATE: Upon request, a list of indicative errors.
- Right before equation 1.12 they use the symbol "\in" instead of the greek "\epsilon", which they then correctly uses in the equation. This error is repeated many times throughout the book.
- Equation 1.13 is missing an "=" sign before they open a left curled brace...
- Equation 1.14 uses capital "S" for a variable (partial sums), while starting from equation 1.15 he uses small "s" for the same variable.
- Appendix, section A9, he correctly uses (a,b) and [a,b] for open and closed intervals respectively, and then incorrectly (a,b) and [a,nb) for left and right half-open intervals (instead of the correct (a,b] and [a,b) ).
. . . . . . . . . . . . . . . . . .
UPDATE 2 (2015): Given the unexpected popularity of this 3-year old review I will make a few comments on the actual contents of the book, in case you are considering buying (e.g. the 3rd Edition). Make sure you understand the following:
A) I will start with the obvious, this is not an introductory text on probability. This is graduate-level probability mostly for Mathematicians or Engineers doing research. This is not a book for everyone, and definitely not a good book for self-studying.
B) The book is a classic and certainly made a huge impact and had many novelties when it first came out (i believe the 80s). That being said, it could use a lot of love in terms of the organization of the contents (compare e.g. with Robert Ash).
C) It still has a lot of material that is hard to find collectively in other books, so the select few involved in research on the field could certainly use a copy of the book in their bookshelf.
D) If you need a book for use as a reference on measure-theoretic probability, it would be safe to say that the text from Robert Ash is arguably one of the best (great organization, clear and to the point). Still, I don't feel this book is good for self-studying either.
E) If you are self-studying graduate-level probability, and do not have previous exposition to measure theory or abstract mathematics in general, I would strongly suggest starting with something lighter, e.g. Rosenthal's book on Rigorous Probability or some online notes.
F) Is this the book you are looking for? If you are still reading my review up to this point for reasons other than curiosity, this is probably the best indication that this is NOT a book for you. This is one of the books you buy because you know you just need them. I know I did (and still do). I hope this makes sense :)
When I saw the reviews appear, I went back and confirmed that all of the errors mentioned by Zach are present. It is truly shameful for Wiley that they took the perfectly correct text of a deceased scholar and screwed it up. Not being a math genius, I simply cannot handle a text that I need to correct myself. I traded in my "Anniversary Edition" and snapped up a 3rd edition, which is already getting expensive. Wiley needs to retract this edition and reissue the 3rd edition as new.
(to be fair, i think this is a hard problem; however, including what seem to be poor resolution images is not the way to go.)
It is either typeset by a math ignorant or the fonts used can't handle needed math symbols.
The equation fields are LaTeX images which are typeset fine but the inline math in text is the problem. E.g
no epsilons in text, instead they use \in symbol!
Also, \ny is not supported, instead a R (yes, capital R) in the text refers to the \ny in the math equation fields.
Kindle version is a waste of money.
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