Books  Data Analysis & Modelling  Data Analysis & Statistics 

Design and Analysis of Experiments with R

Handbook / Manual
Emphasizes the connection between the experimental units, the way treatments are randomized to experimental units, and the proper error term for an analysis of data
Uses R throughout to illustrate the construction of experimental designs and analysis of data
Provides uniform coverage on experimental designs and design concepts that are most commonly used in practice
Presents numerous applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries
Includes exercises at the end of every chapter

Series: Chapman & Hall/CRC Texts in Statistical Science

By: John Lawson (Editor)

596 pages, 100 b/w illustrations, tables

Chapman & Hall (CRC Press)

Hardback | Jan 2015 | #212162 | ISBN-13: 9781439868133
Availability: Usually dispatched within 6 days Details
NHBS Price: £63.99 $81/€75 approx

About this book

One of the first texts to use R to illustrate the construction of experimental designs and analysis of data, Design and Analysis of Experiments with R covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of the results of computer data analysis. It also includes many applications from the pharmaceutical, agricultural, industrial chemicals, and machinery industries. A solutions manual is available for qualifying instructors.

"This is an excellent but demanding text. [...] This book should be mandatory reading for anyone teaching a course in the statistical design of experiments. [...] reading this text is likely to influence their course for the better."
MAA Reviews, March 2015


Contents

- Introduction
- Completely Randomized Designs with One Factor
- Factorial Designs
- Randomized Block Designs
- Designs to Study Variances
- Fractional Factorial Designs
- Incomplete and Confounded Block Designs
- Split-Plot Designs
- Crossover and Repeated Measures Designs
- Response Surface Designs
- Mixture Experiments
- Robust Parameter Design Experiments
- Experimental Strategies for Increasing Knowledge
- Bibliography
- Index


Write a review

There are currently no reviews for this product. Be the first to review this product!


Biography

John Lawson is a professor in the Department of Statistics at Brigham Young University.

Bestsellers in this subject

Camera Trapping for Wildlife Research

NHBS Price: £34.99 $44/€41 approx

Choosing and Using Statistics

NHBS Price: £28.50 $36/€33 approx

Statistics for Ornithologists

NHBS Price: £11.90 $15/€14 approx

The R Book

NHBS Price: £65.50 $82/€77 approx

The New Statistics with R

NHBS Price: £29.99 $38/€35 approx