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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Random Numbers in R,Random 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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Molecular Aspects of Temperature Adaptation,conomics, to mention just a few, the demand for numerical computation has considerably increased. These problems frequently have no analytical solution or the exact result is time-consuming to derive. To solve these problems, numerical techniques are used to approximate the result. This chapter intr

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Nancy A. Noble,George J. Brewer 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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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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Axon895

Molecular Aspects of Temperature Adaptation,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.