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Titlebook: Probability and Simulation; Giray ?kten Textbook 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer

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書(shū)目名稱Probability and Simulation
編輯Giray ?kten
視頻videohttp://file.papertrans.cn/757/756927/756927.mp4
概述Presents an inquiry-based learning approach.Aims to teach probability through games, data, and simulations.Integrates the Julia programming language in-text to write codes for simulation and data anal
叢書(shū)名稱Springer Undergraduate Texts in Mathematics and Technology
圖書(shū)封面Titlebook: Probability and Simulation;  Giray ?kten Textbook 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer
描述.This undergraduate textbook presents an inquiry-based learning course in stochastic models and computing designed to serve as a first course in probability. Its modular structure complements a traditional lecture format, introducing new topics chapter by chapter with accompanying projects for group collaboration. The text addresses probability axioms leading to Bayes’ theorem, discrete and continuous random variables, Markov chains, and Brownian motion, as well as applications including randomized algorithms, randomized surveys, Benford’s law, and Monte Carlo methods. .Adopting a unique application-driven approach to better study probability in action, the book emphasizes data, simulation, and games to strengthen reader insight and intuition while proving theorems. Additionally, the text incorporates codes and exercises in the Julia programming language to further promote a hands-on focus in modelling. Students should have prior knowledge of single variable calculus..Giray ?kten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scho
出版日期Textbook 2020
關(guān)鍵詞Probability; inquiry-based learning; undergraduate probability; probability textbook; Stochastic Models;
版次1
doihttps://doi.org/10.1007/978-3-030-56070-6
isbn_softcover978-3-030-56069-0
isbn_ebook978-3-030-56070-6Series ISSN 1867-5506 Series E-ISSN 1867-5514
issn_series 1867-5506
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Markov Chains, However, in applications we frequently encounter sequences of random variables that are . independent. Andrey Markov was one of the firsts who gave a systematic analysis of such sequences in the early 1900s. Today we call these sequences ..
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Textbook 2020us in modelling. Students should have prior knowledge of single variable calculus..Giray ?kten received his PhD from Claremont Graduate University. He has held academic positions at University of Alaska Fairbanks, Ball State University, and Florida State University. He received a Fulbright U.S. Scho
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Giray ?ktenctures, as obtained by diffraction methods. The File is designed to permit the checking of published numerical values, particularly interatomic distances and bond angles and to present published results in a variety of new ways. Contents of the File will be made available through the series "Molecul
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Giray ?ktenrdetermined systems. All of these problems are reflected in this book to some degree. It is superfluous to say that different directions sometimes whimsically intersect. Considerable attention is given to connections and parallels with the theory of functions of several complex variables. One of the
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