Basic Elements of Computational Statistics (Hardcover, 1st ed. 2017)

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 and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allows readers to reproduce the tables, pictures and calculations inside this Springer book.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Statistics and Computing
Release date:	October 2017
First published:	2017
Authors:	Wolfgang Karl Hardle • Ostap Okhrin • Yarema Okhrin
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	305
Edition:	1st ed. 2017
ISBN-13:	978-3-319-55335-1
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-319-55335-6
Barcode:	9783319553351

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