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Probability : a very short introduction / John Haigh.

By: Material type: TextTextSeries: Very short introductionsOxford ; New York : Oxford University Press, 2012Description: 128 p. : ill. ; 18 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780199588480 (pbk.)
  • 0199588481
Subject(s): DDC classification:
  • 519.2 JOH 23 008981
Online resources:
Contents:
Machine derived contents note: 1. Fundamentals 2. The workings of probability 3. Historical sketch 4. Chance experiments 5. Making sense of probabilities 6. Games people play 7. Applications in science and operations research 8. Other applications 9. Curiosities and dilemmas Appendix - Answers to questions posed.
Summary: 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
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Holdings
Item type Current library Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 519.2 JOH 008981 (Browse shelf(Opens below)) Available 008981

Includes bibliographical references (p. 121-123) and index.

Machine derived contents note: 1. Fundamentals
2. The workings of probability
3. Historical sketch
4. Chance experiments
5. Making sense of probabilities
6. Games people play
7. Applications in science and operations research
8. Other applications
9. Curiosities and dilemmas
Appendix - Answers to questions posed.

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

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