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Probability in physics = an introduc...

Lawrence, Andy.

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Probability in physics = an introductory guide /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Probability in physics/ by Andy Lawrence.
其他題名:	an introductory guide /
作者:	Lawrence, Andy.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xxiv, 347 p. :ill., digital ;24 cm.
內容註:	Part I: The Basics -- Randomness and Probability -- Distributions, Moments, and Errors -- Part II: Frequency Distributions in the Physical World -- Counting the Ways: Arrangements and Subsets -- Counting Statistics: Binomial and Poisson Distributions -- Combining Many Factors: The Gaussian Distribution -- Distributions Arising from Random Processes in Time -- Part III: Probabilistic Inference: Reasoning in the Presence of Uncertainty -- Hypothesis Testing -- Parameter Estimation -- Inference With Two Variables: Correlation Testing and Line Fitting -- Model Fitting -- Part IV: Selected Topics -- Information, Uncertainty, and Surprise -- Erratic Time Series -- Probability in Quantum Physics -- Entropy, Complexity, and the Arrow of Time -- Solutions.
Contained By:	Springer Nature eBook
標題:	Mathematical physics. -
電子資源:	https://doi.org/10.1007/978-3-030-04544-9
ISBN:	9783030045449

Probability in physics = an introductory guide /
Lawrence, Andy.

Probability in physicsan introductory guide /[electronic resource] :by Andy Lawrence. - Cham :Springer International Publishing :2019. - xxiv, 347 p. :ill., digital ;24 cm. - Undergraduate lecture notes in physics,2192-4791. - Undergraduate lecture notes in physics..

Part I: The Basics -- Randomness and Probability -- Distributions, Moments, and Errors -- Part II: Frequency Distributions in the Physical World -- Counting the Ways: Arrangements and Subsets -- Counting Statistics: Binomial and Poisson Distributions -- Combining Many Factors: The Gaussian Distribution -- Distributions Arising from Random Processes in Time -- Part III: Probabilistic Inference: Reasoning in the Presence of Uncertainty -- Hypothesis Testing -- Parameter Estimation -- Inference With Two Variables: Correlation Testing and Line Fitting -- Model Fitting -- Part IV: Selected Topics -- Information, Uncertainty, and Surprise -- Erratic Time Series -- Probability in Quantum Physics -- Entropy, Complexity, and the Arrow of Time -- Solutions.

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.

ISBN: 9783030045449

Standard No.: 10.1007/978-3-030-04544-9doiSubjects--Topical Terms:

516853
Mathematical physics.

LC Class. No.: QC174.85.P76 / L39 2019

Dewey Class. No.: 519.2

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520 $a 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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