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Titlebook: Probability, Statistics and Simulation; With Application Pro Alberto Rotondi,Paolo Pedroni,Antonio Pievatolo Textbook 2022 The Editor(s) (i

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發(fā)表于 2025-3-21 18:35:35 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Probability, Statistics and Simulation
副標題With Application Pro
編輯Alberto Rotondi,Paolo Pedroni,Antonio Pievatolo
視頻videohttp://file.papertrans.cn/757/756984/756984.mp4
概述All topics of probability and statistics are treated with a problem-solving approach supported by simulation.The use of the R software accompanies the readers throughout the book, providing them with
叢書名稱UNITEXT
圖書封面Titlebook: Probability, Statistics and Simulation; With Application Pro Alberto Rotondi,Paolo Pedroni,Antonio Pievatolo Textbook 2022 The Editor(s) (i
描述.This book presents in a compact form the program carried out in introductory statistics courses and discusses some essential topics for research activity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technical and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website..
出版日期Textbook 2022
關鍵詞Probability, statistics and simulation; R routines for probability, statistics and simulation; statist
版次1
doihttps://doi.org/10.1007/978-3-031-09429-3
isbn_softcover978-3-031-09428-6
isbn_ebook978-3-031-09429-3Series ISSN 2038-5714 Series E-ISSN 2532-3318
issn_series 2038-5714
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Textbook 2022l and scientific research. The text is dedicated to university students in scientific fields and to all researchers who have to solve practical problems by applying data analysis and simulation procedures. The R software is adopted throughout the book, with a rich library of original programs accessible to the readers through a website..
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Textbook 2022vity, such as Monte Carlo simulation techniques, methods of statistical inference, best fit and analysis of laboratory data. All themes are developed starting from fundamentals, highlighting their applicative aspects, up to the detailed description of several cases particularly relevant for technica
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Functions of Random Variables,robability space and combine them into an analytic function .?=?.(., ., …) (see Eq. (.)), ... If we know the joint probability density ..(., ., … ) of the original random variables, what is the density ..(.) of the . variable?
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Probability,In this introduction, before looking into the phenomena known as casual, stochastic or random, we will briefly analyse the importance and the role of these phenomena into our reality.
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Basic Statistics: Hypothesis Testing,In Exercises 3.13, 3.17, we have already discussed hypothesis testing in the framework of probability theory. Let us now go deeper into this topic considering the testing (acceptance or rejection) of one hypothesis, called ... or, more simply, hypothesis.
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