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- Introduction to Probability

- Author : David F. Anderson
- Publsiher : Cambridge University Press
- Release : 02 November 2017
- ISBN : 1108246702
- Pages : pages
- Rating : /5 from reviews

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Download or read book entitled *Introduction to Probability* by author: *David F. Anderson* which was release on *02 November 2017* and published by *Cambridge University Press* with total page pages . This book available in PDF, EPUB and Kindle Format. This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.

- Author : David F. Anderson,Timo Seppäläinen,Benedek Valkó
- Publisher : Cambridge University Press
- Release Date : 2017-11-02
- Total pages : 212
- ISBN : 1108246702

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**Summary :** This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the ...

- Author : K. Itô,Kiyosi·It錹
- Publisher : Cambridge University Press
- Release Date : 1984-09-28
- Total pages : 213
- ISBN : 1108246702

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**Summary :** One of the most distinguished probability theorists in the world rigorously explains the basic probabilistic concepts while fostering an intuitive understanding of random phenomena....

- Author : Dimitri P. Bertsekas,John N. Tsitsiklis
- Publisher : Unknown
- Release Date : 2008
- Total pages : 528
- ISBN : 1108246702

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**Summary :** Read online Introduction to Probability written by Dimitri P. Bertsekas,John N. Tsitsiklis, published by which was released on 2008. Download full Introduction to Probability Books now! Available in PDF, ePub and Kindle....

- Author : Charles Miller Grinstead,James Laurie Snell
- Publisher : American Mathematical Soc.
- Release Date : 2012-10
- Total pages : 510
- ISBN : 1108246702

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**Summary :** This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject. The text is also recommended ...

- Author : Sheldon M. Ross
- Publisher : Academic Press
- Release Date : 2007
- Total pages : 782
- ISBN : 1108246702

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**Summary :** Rosss classic bestseller has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries....

- Author : Narayan C Giri
- Publisher : Routledge
- Release Date : 2018-10-31
- Total pages : 560
- ISBN : 1108246702

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**Summary :** Beginning with the historical background of probability theory, this thoroughly revised text examines all important aspects of mathematical probability - including random variables, probability distributions, characteristic and generating functions, stochatic convergence, and limit theorems - and provides an introduction to various types of statist...

- Author : Hossein Pishro-Nik
- Publisher : Unknown
- Release Date : 2014-08-15
- Total pages : 746
- ISBN : 1108246702

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**Summary :** The book covers basic concepts such as random experiments, probability axioms, conditional probability, and counting methods, single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities; limit theorems and convergence; introduction to Bayesian and classical statistics; random processes including processing ...

- Author : G. Jay Kerns
- Publisher : Lulu.com
- Release Date : 2010
- Total pages : 370
- ISBN : 1108246702

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**Summary :** Read online Introduction to Probability and Statistics Using R written by G. Jay Kerns, published by Lulu.com which was released on 2010. Download full Introduction to Probability and Statistics Using R Books now! Available in PDF, ePub and Kindle....

- Author : F.M. Dekking,C. Kraaikamp,H.P. Lopuhaä,L.E. Meester
- Publisher : Springer Science & Business Media
- Release Date : 2006-03-30
- Total pages : 488
- ISBN : 1108246702

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**Summary :** Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books...

- Author : Joseph K. Blitzstein,Jessica Hwang
- Publisher : CRC Press
- Release Date : 2014-07-24
- Total pages : 596
- ISBN : 1108246702

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**Summary :** Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, ...

- Author : Vilim Feller,William Feller
- Publisher : John Wiley & Sons Incorporated
- Release Date : 1968-01-15
- Total pages : 528
- ISBN : 1108246702

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**Summary :** 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 the Poisson distributions. The Normal approximation to the binomial distribution. Unlimited sequences of Bernoulli trials. Random variables, expectation. Laws of large ...

- Author : Joseph K. Blitzstein,Jessica Hwang
- Publisher : CRC Press
- Release Date : 2019-02-08
- Total pages : 620
- ISBN : 1108246702

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**Summary :** Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, ...

- Author : Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh
- Publisher : John Wiley & Sons
- Release Date : 2011-09-15
- Total pages : 744
- ISBN : 1108246702

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**Summary :** The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material....

- Author : Milan Holický
- Publisher : Springer Science & Business Media
- Release Date : 2013-08-04
- Total pages : 181
- ISBN : 1108246702

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**Summary :** The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory ...

- Author : Douglas G. Kelly
- Publisher : Pearson College Division
- Release Date : 1994
- Total pages : 606
- ISBN : 1108246702

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**Summary :** Designed for post-calculus undergraduate probability courses. This text thoroughly covers the concepts of probability, random variables, distributions, expected value, and the ramifications and applications of limit theorems. The text focuses on theory motivated by applications, especially in statistical inference and stochastic processes. Numerous examples and exercises accompany the text's accessible ...