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» » Probability and Random Variables

# eBook Probability and Random Variables ePub

## by David Stirzaker

• ISBN: 0521644453
• Category: Mathematics
• Subcategory: Math Science
• Author: David Stirzaker
• Language: English
• Publisher: Cambridge University Press; 1 edition (September 28, 1999)
• Pages: 382
• ePub book: 1119 kb
• Fb2 book: 1627 kb
• Other: docx lrf mbr lrf
• Rating: 4.3

## Description

Probability and Random V. An excellent book, highly recommended. I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus).

Cambridge Core - Probability Theory and Stochastic Processes - Probability and Random Variables - by David . This is a simple and concise introduction to probability theory

Cambridge Core - Probability Theory and Stochastic Processes - Probability and Random Variables - by David Stirzaker. This is a simple and concise introduction to probability theory. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out.

Later chapters present random variables and examine independence, conditioning, covariance and functions of random variables, both discrete and continuous.

This simple and concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, Stirzaker sets out the central and crucial rules and ideas of probability including independence and conditioning. Later chapters present random variables and examine independence, conditioning, covariance and functions of random variables, both discrete and continuous.

An excellent book, highly recommended.

Probability and Random Variables : A Beginner's Guide. This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary

Probability and Random Variables : A Beginner's Guide. This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. Counting, combinatorics, and the ideas of probability distributions and densities follow.

Probability Random Variables and Stochastic Processes 4th - Papoulis. Geoffrey Grimmett, David Stirzaker One Thousand Exercises In Probability. An Introduction to Multivariate Statistical Analysis. Geoffrey R. Grimmett - One Thousand Exercises in Probability Solution. Stark Woods Solution Chp1-7 3ed. Basic Topology - MA Armstrong. Durrett Probability Theory and Examples Solutions PDF. An Introduction to Probability Theory and Its Applications. Uploaded by. Nancy Mallika Nayak. A Second Course in Probability. Yared Tuemay. By (author) David Stirzaker.

Probability and random variables

Probability and random variables. A beginner's guide (Stirzaker . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63. 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126.

Emphasis is on modelling rather than abstraction and there are new sections on sampling and Markov chain Monte Carlo, renewal-reward, queueing networks, stochastic calculus, and option pricing in the Black-Scholes model for financial markets.

Probability and Random Variables: A Beginner's Guide (Paperback). David Stirzaker (author). This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.

This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, Stirzaker sets out the central and crucial rules and ideas of probability including independence and conditioning. Counting, combinatorics, and the ideas of probability distributions and densities follow. Later chapters present random variables and examine independence, conditioning, covariance, and functions of random variables, both discrete and continuous. The final chapter considers generating functions and applies this concept to practical problems including branching processes, random walks, and the central limit theorem. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. Essential proofs of important results are included. Assuming minimal prior technical knowledge on the part of the reader, this book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It is also a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject.

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### Lectures on the Combinatorics of Free Probability (London Mathematical Society Lecture Note Series) download

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Chilele
I'm using this book for a graduate course in probability for political science, and I have been very disappointed with it. The main problem is that it skips steps involved in problems and then tells you that "obviously" or "clearly" or "intuitively" the solution to the problem follows. For example, my professor has had to distribute his own detailed explanations of sample problems in the book, which have been much clearer (and longer) than what the book offers. If math is not intuitive for you or your quantitative skills are rusty, this book does not give you the kind of step-by-step guidance you'll need.
Mr_KiLLaURa
I used this book for a engineering probabilities class. The prof. was one of those less than helpful types who tossed out a lecture and then let the class sink or swim. If that hadn't been the case maybe I would have rated the book higher, but since I was pretty much using this as my sole source of learning it was not helpful at all.

It's written in more of a conversational tone; which isn't always a bad thing. However the equations shown and the dervations the author goes through are not well documented neither are they intuitive to follow. Does every math book need to be easy and intuitive? No, they don't. But if they bill themselves as a "beginner's guide" then they probably should.

(A friend in the class told me to pick up the Idiot's Guide to Probablity and we used that as our textbook instead. We we're the only two to get A's in that class)
Waiso
I have had no formal class in statistics or probability, so I bought this book in the hope that it would help me with an intro to bioinformatics class I am taking. It assumes no prior knowledge of the subject, just some basic algebra. The first chapter doesn't even get into much math, it explains (in English) what probability is.
There are worked problems throughout each section to aid with understanding the current concept; there are also study questions at the end of each section (answers are in the back.)
I have been very impressed with this book. It gives a good explanation of concepts, clear examples, and useful study questions. Even the paper and binding are high quality! I highly recommend it to anyone new to, or wishing to brush up on, probability.
Cezel
I must express how extremely happy I was when I started reading through this book and felt that I finally met a teacher who can teach statistics! This book gave me a well-rounded access to an area I had gotten sick of trying to search a proper introduction on. It helped me tremendously in really understanding the crucial fundamental concepts that are infact quite tricky, and therefore often reluctantly passed by many. With a straightforward and comfortable language along with all the appropriate maths... if it were not for this book, I personally would have probably never really understood statistics and perhaps would have just given up my interest for the subject for good.