Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Probability

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John Haigh 作者
Oxford University Press
譯者
2012-5-4 出版日期
144 頁數
USD 11.95 價格
Paperback
Very Short Introductions 叢書系列
9780199588480 圖書編碼

Probability 在線電子書 圖書標籤: VSI  Probability  英文原版  統計  牛津通識讀本  概率  Oxford  General   


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Probability 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Probability 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Probability 在線電子書 用戶評價

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在這套書裡算是很差的一本瞭。

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在這套書裡算是很差的一本瞭。

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在這套書裡算是很差的一本瞭。

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在這套書裡算是很差的一本瞭。

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interesting examples. and very brief introductions. But I'm still not familiar with the concepts of various kinds of distribution. like poisson, binomial...etc. so more specific more detailed more technique books are in need.

Probability 在線電子書 著者簡介

John Haigh, Reader in Statistics, University of Sussex

John Haigh is a mathematics tutor at the University of Sussex and has written many papers on probability. He is the author of three books, including Taking Chances (OUP, 2003).


Probability 在線電子書 著者簡介


Probability 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Probability 在線電子書 圖書描述

Explores ideas of probability and the different philosophical approaches to it

Provides a brief account of the history of development of probability theory

Considers the work of some of the big players; from Galileo and Pascal to Bayes, Laplace, Poisson, and Markov

Discusses a wide range of applications of probability theory in science, economics, and a variety of other contexts

Part of the bestselling Very Short Introductions series - over five million copies sold worldwide

Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works. As analysis and modelling of most aspects of the world, and all measurement, are necessarily imprecise and involve uncertainties of varying degrees, the understanding and management of probabilities is central to much work in the sciences and economics.

In this Very Short Introduction, John Haigh introduces the ideas of probability and different philosophical approaches to probability, and gives a brief account of the history of development of probability theory, from Galileo and Pascal to Bayes, Laplace, Poisson, and Markov. He describes the basic probability distributions, and goes on to discuss a wide range of applications in science, economics, and a variety of other contexts such as games and betting. He concludes with an intriguing discussion of coincidences and some curious paradoxes.

Readership: General readers interested in popular mathematics. A useful introduction to a fundamentally important topic for students of mathematics and science.

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