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  1. Bog
  2. Sociologi
  3. Social forskning og statistik

Basic Elements of Computational Statistics

Af: Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin Engelsk Hardback

Basic Elements of Computational Statistics

Af: Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin Engelsk Hardback
Tjek vores konkurrenters priser

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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 305
ISBN-13: 9783319553351
Indbinding: Hardback
Udgave:
ISBN-10: 3319553356
Kategori: Social forskning og statistik
Udg. Dato: 10 okt 2017
Længde: 24mm
Bredde: 242mm
Højde: 161mm
Forlag: Springer International Publishing AG
Oplagsdato: 10 okt 2017
Forfatter(e): Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin
Forfatter(e) Wolfgang Karl Hardle, Ostap Okhrin, Yarema Okhrin

Kategori Social forskning og statistik

ISBN-13 9783319553351

Sprog Engelsk

Indbinding Hardback

Sider 305

Udgave

Længde 24mm

Bredde 242mm

Højde 161mm

Udg. Dato 10 okt 2017

Oplagsdato 10 okt 2017

Forlag Springer International Publishing AG

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