Introduction to Nonparametric Statistics for the Biological Sciences Using R

Name: Introduction to Nonparametric Statistics for the Biological Sciences Using R
Brand: Springer International Publishing AG
SKU: 9783319306339
Price: 33854 HUF
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Szerző: Thomas W. MacFarland, Jan M. Yates

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemen...

Információk a könyvről

Szerző

Thomas W. MacFarland, Jan M. Yates

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2016

oldal

329

EAN

9783319306339

ISBN

3319306332

Enbook ID

02926241

Kiadó

Springer International Publishing AG

Súly

672

Méretek

261 x 166 x 25

Teljes leírás

This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on§how R is used for nonparametric data analysis in the biological sciences:§§To introduce when nonparametric§approaches to data analysis are appropriate§§To introduce the leading§nonparametric tests commonly used in biostatistics and how R is used to§generate appropriate statistics for each test§§To introduce common figures§typically associated with nonparametric data analysis and how R is used to§generate appropriate figures in support of each data set§§The book focuses on how R is used to§distinguish between data that could be classified as nonparametric as opposed§to data that could be classified as parametric, with both approaches to data classification covered extensively.§§Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.§§This supplemental text is intended for:§§Upper-level undergraduate and graduate students majoring in the biological sciences, specifically those in agriculture, biology, and health science - both students in lecture-type courses and also those engaged in research projects, such as a master's thesis or a doctoral dissertation§§And biological researchers at the professional level without a nonparametric statistics background but who regularly work with data more suitable to a nonparametric approach to data analysis§§

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Introduction to Nonparametric Statistics for the Biological Sciences Using R

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