cdc-coteauxdegaronne
» » Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series)
eBook Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series) ePub

eBook Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series) ePub

by Hwei Hsu

  • ISBN: 0071632891
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Hwei Hsu
  • Language: English
  • Publisher: McGraw-Hill; 2 edition (August 2, 2010)
  • Pages: 432
  • ePub book: 1763 kb
  • Fb2 book: 1252 kb
  • Other: doc mobi lrf mbr
  • Rating: 4.8
  • Votes: 359

Description

Schaum's Outline Series. New York Chicago San Francisco Lisbon London. Madrid Mexico City Milan Schaum.

Schaum's Outline Series. 36 MB·571 Downloads·New!, Schaum's Outline of Probability, Random Variables, and Random Processes comp. 98 MB·53,440 Downloads. University of Virginia. Schaum's Outline Series. Schaum's Outline of Discrete Mathematics,.

include Schaum's Outline of Analog and Digital Communications and Schaum's. HWEI P. HSU is Professor of Electrical Engineering at Fairleigh Dickinson. Schaum's Outline of Probability, Random Variables & Random Processes. 41 MB·4,952 Downloads. 98 MB·63,220 Downloads.

Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics Features: 405 solved problems Additional material on distributions, the Markov Process, and Martingales.

Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics Features: 405 solved problems Additional material on distributions, the Markov Process, and Martingales Support for all the major textbooks for probability, variables, and processes courses Topics include: Probability, Random Variables, Multiple Random Variables, Functions of Random Variables, Expectation, Limit Theorems, Random Processes, Analysis and. Processing of Random Processes, Estimation Theory, Decision Theory, Queuein.

Just had this book yesterday and I can't say how wonderful it is. The current text book I am using sucks hell.

Schaum's Outlines contain hundreds of solutions to problems covered in any college course. This guide, which can be used with any text or can stand alone, contains at the beginning of each chapter a list of key definitions, a summary of major concepts, step by step solutions to dozens of problems, and additional practice problems.

Views: 418. Date: October 2, 2019. Real Crime – September 2019.

Schaum's is the key to faster learning and higher grades in every subject

Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you: 405 fully solved problems; clear, concise explanations of all probability, variables, and processes concepts; and support for all the major textbooks in the subject areas. oceedings{, title {Probability, random variables, and random processes : Schaum's outlines}, author {Hwei P. Hsu}, year {2011} }. Hsu.

He has published several books which include Schaum’s Outline of Analog and Digital Communications and Schaum’s . The only slight catch with Hsu's book is that it stresses electrical and computer engineering over other types - civil and mechanical.

He has published several books which include Schaum’s Outline of Analog and Digital Communications and Schaum’s Outline of Signals and Systems. Series: Schaum's Outlines. Paperback: 432 pages. Some distributions that are in Devore and Johnson are not in Hsu and vice-versa. That said the core distributions (normal and binomial) are succinctly covered with as much calculus as is possible for a student having taken or in the process of taking a full two or three term calculus sequence.

Probability; random variables; multiple random variables; functions of random variables; random processes; analysis and processing of random processes; applications.

Read by Hwei P. Hs.

The book offers extra practice on topics such as bivariate random variables, joint distribution functions Study faster, learn better, and get top grades. Modified to conform to the current curriculum, "Schaum's Outline of Probability, Random Variables, and Random Processes" complements these courses in scope and sequence to help you understand its basic concepts.

Study faster, learn better, and get top grades

Modified to conform to the current curriculum, Schaum's Outline of Probability, Random Variables, and Random Processes complements these courses in scope and sequence to help you understand its basic concepts. The book offers extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power spectral densities, and white noise. You'll also get coverage of linear systems to random outputs, Fourier series and Karhunen-Loéve expansions, Fourier transform of random processes, parameter estimation, Bayes' estimation, and mean square estimation. Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics

Features:

405 solved problems Additional material on distributions, the Markov Process, and Martingales Support for all the major textbooks for probability, variables, and processes courses

Topics include: Probability, Random Variables, Multiple Random Variables, Functions of Random Variables, Expectation, Limit Theorems, Random Processes, Analysis and Processing of Random Processes, Estimation Theory, Decision Theory, Queueing Theory

Comments

dermeco dermeco
This book feels like it was written by and for the signal processing crowd. My sense is there are a lot of bizarre distributions based on trig functions for that reason.

There is an unforgivable error on exercise 2.83, page 98 (with the 'answer' given on page 100). It states that the Cauchy distribution has expected value of zero. This is wrong. I normally tell people to throw away a book that gets this wrong. It's really, really bad, to bring up a pathological distribution and then mess it up. It's not some minor mathematical fine point about subtleties of limits -- you can assume for a contradiction that the expected value is well defined at zero, then try convolving N Cauchy's and divide by N -- you may try to apply Weak Law of Large Numbers and think that the probability of the sample average being zero is, in the limit, one -- but in fact there is zero probability that the sample average is zero. This is a big deal and why great care is needed when dealing with pathological distributions.

I am not sure whether to give this book 2 or 3 stars. Without this gaffe I'd give it 3 stars, but really I'm debating throwing the book away. I wonder what other major points the author messed up.
Lestony Lestony
I own most of Schaum's books (I am a math geek). I don't play video games, I do math and strategy puzzles. I can keep them on my Kindle to read or solve the problems.

These books are good basic primers on a moderate skill level. They explain the process by which to obtain the desired result and provide answers to the problems. The videos aren't bad ... they're actually ok.

The ebooks do well on my Samsung Galaxy 3, my Chromebook, my Fire and my Paperwhite. You cannot do the videos on the Paperwhites.
Wizard Wizard
Looks like a book that applies to statistics/probability in electrical engineering type scenarios. Not for the faint of mathematical heart. As Hsu says in foreward a knowledge of calculus, matrix equations, differential equations, fourier analysis, possibly some signal theory is needed. It is a very serious book that does not shy away from math (especially calculus) usage. It is presented in a similar fashion as the Schaum's Matrix Operations book, in that Hsu gives a bunch of definitions and math equations, theorems, and definitions in sequential order and then proceeds to solve problems using this information. It is much more like a reference book as the explanations are not vast and assume a high degree of mathematical maturity. This in no way a beginners book as the person should have studied all the above topics to some degree. It does seem like a good book presented in straight forward fashion. This review is based on skimming the book, so someone with more familiarity with this book would give a better review on the content of this book, but all the other stuff I said is spot on: I don't know what to tell you kid I wish I could have prepped you better on particulars, but it was too little, too fast, and much late. The book arrived on time & in good shape (based on 1 seller interaction).
Kriau Kriau
I used this to supplement a graduate-level course in Random Processes. It was much more helpful than the textbook we were assigned. I'm the kind of person who likes to do lots of practice problems to solidify my understanding of concepts, and this book contains plenty of worked out examples, as well as practice problems with solutions. I've always had good experiences with Schaum's Outlines, and this was no exception.
Brannylv Brannylv
Lots of worked examples with detailed explanation. Probably could use more of everything but worth the expense if you like probability.
Anen Anen
This book is ok. It's much better than my other book, but it's still not as easy to comprehend as the Schaum's Probability book.
TheFresh TheFresh
If you need to teach an undergraduate statistics class, such as Statistics for Engineers and Scientists, this is the book to prepare with. Such books as Devore and Johnson's "Statistics with Calculus" texts use minimal calculus. This book in contrast uses it extensively, but at a first year (through multi-variable) level. The best combination of textbooks is possible: use Devore or Johnson as a basis, and, as student's are able and willing take problems and classroom exposition from Hsu's PRV&RP.

A good argument could be made that in terms of evolving mathematical thinking -- definitions and theorems yielding analysis of applications and problems -- Hsu is far superior. He is quick and tight. On the other hand, sophomore students might not be able to get a more sophisticated mathematical exposition. That's where Devore and Johnson come in. Their texts also present the usual histograms, dot-plots, stem and leaf etc. level stuff of elementary statistics. They don't, however, take the use of calculus far enough. Somewhere in-between is the ideal. If you can get students up to Hsu then you've done a good job teaching.

The only slight catch with Hsu's book is that it stresses electrical and computer engineering over other types -- civil and mechanical. Some distributions that are in Devore and Johnson are not in Hsu and vice-versa. That said the core distributions (normal and binomial) are succinctly covered with as much calculus as is possible for a student having taken or in the process of taking a full two or three term calculus sequence.
I feel like you have to know the subject completely before you even open this book. I admit I don't like probability, but my eyes instantly glazed over with this book. I have no reference if the material in this book is good, but this book is certainly not helping me get through my class. I also don't like how it's written in multiple columns per page.