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

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Harry Jacob,Yoshihito Yawata,Robert HoweThis chapter presents basic statistical methods used in describing and analysing univariate data in .. It covers the topics of descriptive and inferential statistics of univariate data, which are mostly treated in introductory courses in Statistics.

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https://doi.org/10.1007/978-3-642-40717-8Regression models are extremely important in describing relationships between variables. Linear regression is a simple, but powerful tool in investigating linear dependencies. It relies, however, on strict distributional assumptions. Nonparametric regression models are widely used, because fewer assumptions about the data at hand are necessary.

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John P. Harrington,Hanna WollockoRandom number generation has many applications in economic, statistical, and financial problems. With the advantage of high speed and cheap computation, new statistical methods using random number generation have been developed. Important examples are the bootstrap based procedures.

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Combinatorics and Discrete Distributions,In the second half of the nineteenth century, the German mathematician Georg Cantor developed the greater part of today’s set theory.

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