Statistical Principles In Experimental Design

By B.J. Winer, B. J Winer, B.J. Winer

Book Overview

""Statistical Principles in Experimental Design"" by Benjamin James Winer is a comprehensive guide to understanding statistical principles and their application in experimental design. The book covers the fundamental concepts of statistics, including probability theory, hypothesis testing, and regression analysis. It also provides an in-depth examination of experimental design, including the selection of appropriate sample sizes, the use of control groups, and the proper randomization of subjects.The book is designed to be accessible to readers with a basic knowledge of statistics, but also provides advanced material for those with a more in-depth understanding of the subject. The text is supported by numerous examples and case studies, which illustrate the practical application of statistical principles in a variety of fields, including medicine, psychology, and engineering.Overall, ""Statistical Principles in Experimental Design"" is an essential resource for anyone involved in the design and analysis of experiments, from students and researchers to professionals in industry and government. Its clear and concise presentation of statistical principles and their application in experimental design make it an invaluable tool for anyone seeking to improve the quality and reliability of their research.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

• Format: Hardcover
• Language: English
• ISBN: 1258260581
• ISBN13: 9781258260583
• Release Date: March 2012
• Publisher: Literary Licensing, LLC
• Length: 682 Pages
• Weight: 2.36 lbs.
• Dimensions: 1.4" x 6.0" x 9.0"

Customer Reviews

The best experimental analysis book around

This is the source for statistics related to experiments. Everything from single factor ANOVA to complex latin squared designs are covered. It is a hard read, but worth it. Not for the novice.

I am curious about your technique for unequal sample sizes

Could you tell me more about what to do about unequal sample sizes within groups? Since the F ratio becomes sensitive to the non equality of variances if the group sample sizes are unequal, this becomes a very important question for the validity of the ANOVA.