What do you think?
Rate this book
NIST SEMATECH e-Handbook of Statistical Methods
Available at . Created through a partnership of SEMATECH and the NIST. Provides an overview of data analysis and statistical methods, especially as used in manufacturing, process improvement and data modeling.
Unknown Binding
First published January 1, 2003
1 person is currently reading
11 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
June 19, 2013
This book is the product of collaboration between the NIST and SEMATECH, and is better written than I had expected.
The beginning provides a great introduction to classical statistical methods and exploratory data analysis (statistical methods that are largely graphical and that help determine characteristics of the data in question, which can guide further analysis).
Exploratory data analysis was new to me, and I found the information fascinating and useful. Additionally, the book serves as something of a manual for NIST's public domain software Dataplot ( http://www.itl.nist.gov/div898/softwa... ). Dataplot is not for everyone (the UI reminds me of older versions of AutoCAD), but I found it useful and even somewhat entertaining to work with.
After the survey of the field, the handbook covers applications of statistics: how to design experiments, what kind of equipment can be used to measure unusual things, how to isolate which aspects of a process affect the final product, how to compare two machines or processes to determine whether there is a statistically significant difference, etc. This would have been much more useful to me if I still worked in manufacturing. This book would make a great companion to Deming management at work.
Contains several case studies and in-depth directions on how to investigate the case studies with Dataplot. This is especially useful, as Dataplot doesn't have much up-to-date documentation of its own.
The beginning provides a great introduction to classical statistical methods and exploratory data analysis (statistical methods that are largely graphical and that help determine characteristics of the data in question, which can guide further analysis).
Exploratory data analysis was new to me, and I found the information fascinating and useful. Additionally, the book serves as something of a manual for NIST's public domain software Dataplot ( http://www.itl.nist.gov/div898/softwa... ). Dataplot is not for everyone (the UI reminds me of older versions of AutoCAD), but I found it useful and even somewhat entertaining to work with.
After the survey of the field, the handbook covers applications of statistics: how to design experiments, what kind of equipment can be used to measure unusual things, how to isolate which aspects of a process affect the final product, how to compare two machines or processes to determine whether there is a statistically significant difference, etc. This would have been much more useful to me if I still worked in manufacturing. This book would make a great companion to Deming management at work.
Contains several case studies and in-depth directions on how to investigate the case studies with Dataplot. This is especially useful, as Dataplot doesn't have much up-to-date documentation of its own.
Displaying 1 of 1 review