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Introduction to Nonparametric Statistics for the Biological Sciences Using R
Thomas W. Macfarland
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Description for Introduction to Nonparametric Statistics for the Biological Sciences Using R
Hardback. Containing tools for nonparametric analyses, this supplemental text gives guidance on how R is used for nonparametric data analysis in the biological sciences, focusing on how R is used to distinguish between data that could be classified as nonparametric as opposed to parametric, with both approaches to data classification covered extensively. Num Pages: 329 pages, 1 black & white illustrations, 64 colour illustrations, 20 colour tables, biography. BIC Classification: PBT; PSA; UFM. Category: (G) General (US: Trade). Dimension: 166 x 261 x 25. Weight in Grams: 672.
This book contains a rich set of tools for nonparametric analyses, and the purpose of this 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 ... Read more
This book contains a rich set of tools for nonparametric analyses, and the purpose of this 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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Condition
New
Weight
671g
Number of Pages
329
Place of Publication
Cham, Switzerland
ISBN
9783319306339
SKU
V9783319306339
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Thomas W. Macfarland
Thomas W. MacFarland, Ed.D., is Associate Professor (Computer Technology) at Nova Southeastern University in Fort Lauderdale, Florida. He joined the Graduate School of Computer and Information Sciences in 1988 and provides consulting services to the university community on research methods and statistical design as well as individual research on institutional concerns and assessment of student learning. Dr. MacFarland's ... Read more
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