Multiple comparisons (Statistics)

R Markdown Cookbook

by Dervieux, Christophe, Riederer, Emily, Xie, Yihui

fromChapman & Hall/CRC the R series (Print)

0 Type: Book

”This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent user…

R cookbook: proven recipes for data analysis, statistics, and…

by Long, J. D., Teetor, Paul

0 Type: Book

"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you prod…

R cookbook: proven recipes for data analysis, statistics, and…

by Teetor, Paul, Long, J.D

0 Type: Book

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you produ…

R cookbook: proven recipes for data analysis, statistics, and…

by Long, J. D., Teetor, Paul

0 Type: Book

"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you prod…

R COOKBOOK: proven recipes for data analysis, statistics, and…

by LONG, J. D. TEETOR, PAUL

0 Type: Book

"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you prod…

With Early Release ebooks, you get books in their earliest form-the author's raw and unedited content as he or she writes-so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are ma…

R cookbook: proven recipes for data analysis, statistics, and…

by Teetor, Paul, Long, J. D., (Economist)

0 Type: Book

"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you prod…

R cookbook: proven recipes for data analysis, statistics, and…

by Long, J. D., Teetor, Paul

0 Type: Book

"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you prod…

Mixture model-based classification

by McNicholas, Paul D.

0 Type: Book

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixture…

Ensemble methods: foundations and algorithms

by Zhou, Zhi-Hua,, Ph. D.

fromChapman & Hall/CRC machine learning & pattern recognition s…

0 Type: Book

"This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of res…

Ensemble methods: foundations and algorithms

by Zhou, Zhi-Hua,, Ph. D.

fromChapman & Hall/CRC machine learning & pattern recognition s…

0 Type: Book

"This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of res…

Ensemble methods: foundations and algorithms

by Zhou, Zhi-Hua,, Ph. D.

fromChapman & Hall/CRC machine learning & pattern recognition s…

0 Type: Book

"This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of res…