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Probability for physicists
- 作者: Sirca, Simon, author.
- 其他作者:
- 其他題名:
- Graduate texts in physics.
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: Graduate texts in physics,
- 主題: Probabilities. , Physics. , Statistical Physics, Dynamical Systems and Complexity. , Mathematical Methods in Physics. , Probability Theory and Stochastic Processes. , Mathematical Applications in the Physical Sciences. , Theoretical and Computational Chemistry.
- ISBN: 9783319316116 (electronic bk.) 、 9783319316093 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: Basic Terminology -- Probability Distributions -- Special Continuous Probability Distributions -- Expected Values -- Special Discrete Probability Distributions -- Convolution -- Samples -- Estimation of Parameters and Statistical Tests -- Regression -- Entropy -- Markov Processes -- Generation of Pseudorandom Numbers -- Monte Carlo Method -- Stochastic Population Modeling.
- 摘要註: This book is designed as a practical and intuitive introduction to probability, statistics and random quantities for physicists. The book aims at getting to the main points by a clear, hands-on exposition supported by well-illustrated and worked-out examples. A strong focus on applications in physics and other natural sciences is maintained throughout. In addition to basic concepts of random variables, distributions, expected values and statistics, the book discusses the notions of entropy, Markov processes, and fundamentals of random number generation and Monte-Carlo methods.
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讀者標籤:
- 系統號: 005361569 | 機讀編目格式
館藏資訊
This book is designed as a practical and intuitive introduction to probability, statistics and random quantities for physicists. The book aims at getting to the main points by a clear, hands-on exposition supported by well-illustrated and worked-out examples. A strong focus on applications in physics and other natural sciences is maintained throughout. In addition to basic concepts of random variables, distributions, expected values and statistics, the book discusses the notions of entropy, Markov processes, and fundamentals of random number generation and Monte-Carlo methods.
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Google Book
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