Book description
Professionals in all areas - business; government; the physical, life, and social sciences; engineering; medicine, etc. - benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design.
This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts.
Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs:
Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative
Randomized Block designs
Latin Square designs
Split-Unit designs
Repeated Measures designs
Robust designs
Optimal designs
Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.
Table of contents
- Cover
- Title Page
- Preface
- Acknowledgments
- Credits
- 1 Introduction
- 2 Fundamentals of Experimental Design
- 3 Fundamentals of Statistical Data Analysis
-
4 Completely Randomized Design
- Introduction
- Design Issues
- CRD: Single Qualitative Factor
- Analysis of Variance
- Testing the Assumptions of Equal Variances and Normality
- Confidence Intervals
- Inference
- Statistical Prediction Interval
- Example: Tomato Fertilizer Experiment Revisited
- Sizing a Completely Randomized Experiment
- CRD: Single Quantitative Factor
- Design Issues
- Enhanced Case Study: Power Window Gear Teeth
- Assignment
- References
- 5 Completely Randomized Design with Multiple Treatment Factors
- 6 Randomized Complete Block Design
- 7 Other Experimental Designs
- Index
- End User License Agreement
Product information
- Title: Fundamentals of Statistical Experimental Design and Analysis
- Author(s):
- Release date: September 2015
- Publisher(s): Wiley
- ISBN: 9781118954638
You might also like
book
Case Studies in Bayesian Statistical Modelling and Analysis
Provides an accessible foundation to Bayesian analysis using real world models This book aims to present …
book
Mathematical Statistics
Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to …
book
Bayesian Data Analysis, Third Edition, 3rd Edition
Now in its third edition, this classic book is widely considered the leading text on Bayesian …
book
Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP, 2nd Edition
Introduces basic concepts in probability and statistics to data science students, as well as engineers and …