9781439868133-1439868131-Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science)

Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science)

3.5
ISBN-13: 9781439868133
ISBN-10: 1439868131
Edition: 1
Author: John Lawson
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 620 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9781439868133
ISBN-10: 1439868131
Edition: 1
Author: John Lawson
Publication date: 2014
Publisher: Chapman and Hall/CRC
Format: Hardcover 620 pages

Summary

Acknowledged authors John Lawson wrote Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science) comprising 620 pages back in 2014. Textbook and eTextbook are published under ISBN 1439868131 and 9781439868133. Since then Design and Analysis of Experiments with R (Chapman & Hall/CRC Texts in Statistical Science) textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $ 27.58 or rent at the marketplace.

Description

Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.

Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to:

  • Make an appropriate design choice based on the objectives of a research project
  • Create a design and perform an experiment
  • Interpret the results of computer data analysis

The book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author’s website, enabling students to duplicate all the designs and data analysis.

Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book