경문사

쇼핑몰 >  수입도서 >  Mathematics >  Statistics

Probability: Elements of the Mathematical Theory

 
지은이 : Heathcote
출판사 : Dover
페이지수 : 268
ISBN : 0486411494
예상출고일 : 입금확인후 2일 이내
주문수량 :
도서가격 : 품절
     

 
Designed for students studying mathematical statistics and probability after completing a course in calculus and real variables, this text deals with basic notions of probability spaces, random variables, distribution functions and generating functions, as well as joint distributions and the convergence properties of sequences of random variables. Includes worked examples and over 250 exercises with solutions.
"This book is for students and readers with some mathematical background, but not much. It offers a quick introduction to the fundamental concepts and tools of probability. It doesn't cover many applications, but that is covered instead in other books; some of which are also in the Dover series.
Practical uses of probability include: Testing of data set, sampling, insurance topics, quality checking, finance, investment, and finance, to mention only a few. Heathcote's book is not intimidating; just 265 pages. It has exercises, useful in the classroom or in self-study. They are well chosen and help the novice assimilating the theory and turning practical problems into numbers. It begins with events, probability space, combination of events using the mathematical notions of union and intersection, sigma algebras, random variables; then it turns to tools from analysis, Bayes' theorem, distributions, convergence theorems. The book offers a quick entry into computations with probability, and it concludes with the law(s) of large numbers, and Markov chains. It is a nice supplement to for example Rozanov's little book Probability Theory, also in the Dover series.
Review by Palle Jorgensen, August 2008."


"Heathcote is a nice little introduction to mathematical probability theory. It is an introduction in the sense that it does not assume familiarity with probability theory. It develops the subject without relying on measure theory or Lebesgue integration, topics which are perhaps too advanced for an introductory text. For more advanced treatments consult, for example, Shiryaev. The notation and typesetting is clear and clean throughout. Applied examples are scarse, with applications being reserved mainly for the problem sets. Overall this is a good book for the student interested in learning some of the deeper mathematics underlying probability."
Introduction to Partial Di...
-Zachmanoglou-
 
 
Real Analysis Modern Techn...
-Folland-
 
 
A First Course in Abstract...
-John B. Fraleigh-
 
 
   
 
성균관대학교 access co...
성균관대학교 미분적분...
영어강의를 위한 실용교...
Elementary Statist...
Applied Statistics...
Applied Statistics...
Introductory Stati...
Introduction to Ma...