An Introduction To Probability : Theory And Its Applications (Volume - 1) 3rd Edition
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An Introduction To Probability : Theory And Its Applications (Volume - 1) 3rd Edition (English, Paperback, William Feller)

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An Introduction To Probability : Theory And Its Applications (Volume - 1) 3rd Edition  (English, Paperback, William Feller)

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    Highlights
    • Language: English
    • Binding: Paperback
    • Publisher: Wiley
    • ISBN: 9788126518050, 8126518057
    • Edition: 3rd, 2008
    • Pages: 536
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    Description

    An Introduction To Probability: Theory and Its Applications (Volume - 1) is the updated and revised 2008 version of the original, and an introductory level reference and guide book highly useful for undergraduate students of computer science and other disciplines that require a sound knowledge of the probability theory.

    Summary Of The Book

    An Introduction To Probability: Theory and Its Applications (Volume - 1) is exhaustive in content and in-depth in its approach, laying emphasis on both, theory and applications of probability. It has been designed as a textbook for students who want to grasp the basic conceptual knowledge of the probability theory and also apply it to practical problems.

    The book opens with the first chapter introducing students to the Nature of Probability Theory, as well as providing a summarised account of its background and history. Thereafter, the rest of the sixteen chapters provide a study into many topics including, random variables, expectation, renewal theory, branching processes, random walk and ruin problems, recurrent events, compound distribution, Markov chains, and laws of large numbers.

    The book is illustrated with practical examples to support and provide a better understanding of its theoretical concepts. An Introduction To Probability: Theory and Its Applications (Volume - 1) is a comprehensive textbook on probability that covers topics including the binomial and poisson distributions, the sample space, compound distributions, integral valued variables, and elements of combinatorial analysis, to name a few.

    Furthermore, all the problems asked in the book have their solutions provided at the end of the book. Also, certain omissions and inclusions have been made, keeping in mind the current relevance of topics. For instance, probabilistic arguments has been done away with in order to include combinatorial artifices. Branching processes, the De Moivre-Laplace Theorem, and Markov Chain are other new additions to this book. The book also lists out which topics are meant purely for reading and can otherwise be omitted.

    About William Feller

    Considered one of the greatest Probabilists of the twentieth century, noted mathematician William Feller (Vilibald Sre?ko Feller) was of Croatian-American descent and born in 1906.

    His writings in his books and papers pertain to subjects such as Theory of Measurement, Mathematical Analysis, Differential Equations, Functional Analysis, and Geometry.

    Feller finished his schooling from his birthplace, Zagreb, and studied Maths for two years. Thereafter, he left for Germany where he continued his higher education, obtaining a doctorate in 1926. Initially, he took up teaching positions at the Universities of Kiel, Stockholm, and Lund, respectively. Eventually, he moved to the United States, gained citizenship there, and taught at Brown University, Cornell University, and Princeton University. Considered instrumental in his role in the inclusion of Probability Theory as a branch of Mathematical Analysis, he was the recipient of the distinguished National Medal Of Science in 1969. William Feller died in New York in January, 1970.

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    Specifications
    Book Details
    Publication Year
    • 2008
    Edition Type
    • Student
    Table of Contents
    • · Introduction: The Nature of Probability Theory
      · The Sample Space
      · Elements of Combinatorial Analysis
      · Fluctuations in Coin Tossing and Random Walks
      · Combination of Events
      · Conditional Probability
      · Stochastic Independence
      · The Binomial and Poisson Distributions
      · The Normal Approximation to the Binomial Distribution
      · Unlimited Sequences of Bernoulli Trials
      · Random Variables
      · Expectation
      · Laws of Large Numbers
      · Integral Valued Variables
      · Generating Functions
      · Compound Distributions
      · Branching Processes
      · Recurrent Events
      · Renewal Theory
      · Random Walk and Ruin Problems
      · Markov Chains
      · Algebraic Treatment of Finite Markov Chains
      · The Simplest Time-Dependent Stochastic Processes
      · Answers to Problems
       

    Contributors
    Authored By
    • William Feller
    Series & Set Details
    Series Name
    • WSE
    Series Volume
    • 1
    University Books Details
    Specialization
    • Computer Science Engineering, Computer Science Engineering, B.Sc(Mathematics)
    Term
    • 6th Semester
    Frequently Bought Together
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    Ratings & Reviews
    4.4
    63 Ratings &
    8 Reviews
    • 5
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    5

    A Classic Book on Probability Theory

    If you are looking for a book on probability to get quickly up-to-speed and get going (with the routine), this is probably not the book for you. If, on the other hand, you want to develop a deeper understanding of probability and how the theory evolved conceptually over the years, there is probably no better book around. This is among those rare books that change not merely what you know about the subject matter, but deeply affect how you think about it.
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    Amitav Mishra

    16 Apr, 2012

    12
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    5

    Awesome Book on Probability

    This book on Probability really gives an in-depth introduction to the fundamentals of Probability and is a wonderful book for anyone who wants to understand and apply it in some real world problems.
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    Shanmugasundaram Muthuswamy

    Certified Buyer, Chennai

    28 Feb, 2014

    4
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    4

    Introduction to Probability !!

    I have read a few chapters.I will simply say that this book is awesome,but it is not very useful for the beginners.
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    Shubham Dubey

    Certified Buyer, Agra

    5 Jan, 2014

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    5

    A VERY GOOD BOOK .

    This is aN introductory level book on Probability theory and offers deep and sound understanding needed for higher learning.It is highly recommended for students at 10+2 level preparing for exam s like IIT-JEE or ISI Entrance exam.It is also used by students of engineering and economics before they learn econometrics.It is a old book and so I suggest to pair it with modern books like A First Course in Probability by Sheldon Ross,after having read both these books,the student will have solved ...
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    Ramkumar Shukla

    30 Dec, 2012

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    5

    Awesome book!

    The book is good. It contains all content that you need for being good at probability. So do not hesitate, if you like it buy it!!!!!!!!!
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    Swapnil R Mehta

    Certified Buyer

    28 Feb, 2014

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    5

    Excellent

    Good book and delivery
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    Pritam Saha

    Certified Buyer, Naihati

    28 Nov, 2017

    0
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    5

    One of the best books!!!

    I think it's a book one needs to read irrespective of whether one is working in pure or applied probability
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    Gaurav Sood

    Certified Buyer, Bangalore

    28 Jun, 2017

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    5

    My Review

    Very useful book for the students as well as teachers.. The book helps us to mature our probabilistic approach towards mathematics and statistics...It is requested to all statisticians and mathematicians, at least go through the book once..
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    Pritha Pal

    27 Aug, 2013

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