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Probability in physics : an introductory guide

By: Lawrence, Andy.
Series: Undergraduate lecture notes in physics. / edited by Neil Ashby.Publisher: Switzerland Springer 2019Description: xxiv, 347p.ISBN: 9783030045425.Subject(s): Mathematical physics | Probabilities | StatisticsDDC classification: 519.2 | L43p Summary: This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified manner. The book also presents a harmonised view of frequentist and Bayesian approaches to inference, emphasising their complementary value. The aim is to steer a middle course between the "cookbook" style and an overly dry mathematical statistics style. The treatment is driven by real physics examples throughout, but developed with a level of mathematical clarity and rigour appropriate to mid-career physics undergraduates. Exercises and solutions are included.
List(s) this item appears in: New arrival November 4 to 10, 2019
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur
General Stacks 519.2 L43p (Browse shelf) Available A184945
Total holds: 0
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
519.2 L197P2 PROBABILITY 519.2 L197s STOCHASTIC PROCESSES 519.2 L26A APPLIED PROBABILITY 519.2 L43p Probability in physics 519.2 L521a Applied probability and statistics 519.2 L521b Basic probability theory with applications 519.2 L565h Heads or tails

This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified manner. The book also presents a harmonised view of frequentist and Bayesian approaches to inference, emphasising their complementary value. The aim is to steer a middle course between the "cookbook" style and an overly dry mathematical statistics style. The treatment is driven by real physics examples throughout, but developed with a level of mathematical clarity and rigour appropriate to mid-career physics undergraduates. Exercises and solutions are included.

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