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Titlebook: Basic Elements of Computational Statistics; Wolfgang Karl H?rdle,Ostap Okhrin,Yarema Okhrin Textbook 2017 Springer Nature Switzerland AG 2

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期刊全稱Basic Elements of Computational Statistics
影響因子2023Wolfgang Karl H?rdle,Ostap Okhrin,Yarema Okhrin
視頻videohttp://file.papertrans.cn/182/181013/181013.mp4
發(fā)行地址Covers basic mathematical, statistical and programming problems in computational statistics.Addresses both univariate and multivariate statistical data analysis and applications in finance, the life s
學(xué)科分類Statistics and Computing
圖書(shū)封面Titlebook: Basic Elements of Computational Statistics;  Wolfgang Karl H?rdle,Ostap Okhrin,Yarema Okhrin Textbook 2017 Springer Nature Switzerland AG 2
影響因子.This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs..The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various ma.thematical roots of multivariate techniques..The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents
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Molecular Aspects of Temperature Adaptation,n or the exact result is time-consuming to derive. To solve these problems, numerical techniques are used to approximate the result. This chapter introduces matrix algebra, numerical integration, differentiation and root finding.
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Numerical Techniques,n or the exact result is time-consuming to derive. To solve these problems, numerical techniques are used to approximate the result. This chapter introduces matrix algebra, numerical integration, differentiation and root finding.
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Textbook 2017 applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (qua
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The Basics of , ,nding of . allows applying a wide variety of statistical methods to actual data and presenting the results clearly and understandably. This chapter provides help in setting up the programme and gives a brief introduction to its basics.
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Univariate Distributions, the basic definitions and properties of continuous distributions in general. Then we elaborate on the normal distribution and its key role in statistics. Finally, we exposit in detail several other key distributions, such as the exponential and . distributions.
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