Statistical Methods for Quality Improvement or J2EE Best Practices

Statistical Methods for Quality Improvement

Author: Thomas P Ryan

A comprehensive, up-to-date survey of statistical methods for quality improvement

Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. In the Second Edition of his successful book that is still unrivaled in content, Tom Ryan continues to offer clear, thorough coverage of all available techniques-from basic control charts to regression and design of experiments, and the combined use of these tools. This edition is fully expanded and revised, bringing readers up to date with very recent research and providing a solid foundation from which to explore the statistical literature. Dr. Ryan tackles complicated topics in a logical, engaging, easy-to-understand style, downplaying mathematical formulas and making the material accessible to industrial engineers and applied statisticians alike. Special features of Statistical Methods for Quality Improvement, Second Edition include:

• Greatly expanded chapters on process capability indices and multivariate control chart methods

• Improved attributes control charts based on the author's research

• A detailed presentation of Six Sigma programs

• A new, separate chapter on CUSUM and EWMA procedures

• New material on robust design and Taguchi-type procedures

• Chapter appendices for more in-depth coverage of selected topics

• Very extensive and up-to-date references in each chapter, in addition to a bibliography of papers on a variety of control chart applications

Computational Statistics and Data Analysis

...the book is carefully written, well produced, and contains a wealth of information for the interested reader.

Short Book Reviews

This is a significant update of Professor Ryan's textbook from 1988. The chapters on statistical process contril and process capability have been expanded considerably to include recent research in the field. The chapter on design of experiments is also longer, with the inclusion of robust design issues. The book is very well written.

Technometrics

As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available.

Computational Statistics and Data Analysis

...the book is carefully written, well produced, and contains a wealth of information for the interested reader.

Booknews

A reference for managers and technicians more than a textbook, though Ryan (statistics, Case Western Reserve U.) has used much of the material in industrial and college courses. He writes in the recognition that quality improvement requires using more than just control charts, and that it would be difficult to keep a particular process characteristic in control without some knowledge of the factors affecting that characteristic. He has updated the 1989 first edition by revising and lengthening the chapters on process capability and multivariate control charts. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Table of Contents:

	Preface
	Preface to the First Edition
Ch. 1	Introduction	3
Ch. 2	Basic Tools for Improving Quality	11
Ch. 3	Basic Concepts in Statistics and Probability	28
Ch. 4	Control Charts for Measurements with Subgrouping (for One Variable)	77
Ch. 5	Control Charts for Measurements without Subgrouping (for One Variable)	133
Ch. 6	Control Charts for Attributes	152
Ch. 7	Process Capability	186
Ch. 8	Alternatives to Shewhart Charts	216
Ch. 9	Multivariate Control Charts for Measurement Data	253
Ch. 10	Miscellaneous Control Chart Topics	289
Ch. 11	Other Graphical Methods	319
Ch. 12	Linear Regression	337
Ch. 13	Design of Experiments	359
Ch. 14	Contributions of Genichi Taguchi and Alternative Approaches	427
Ch. 15	Evolutionary Operation	474
Ch. 16	Analysis of Means	494
Ch. 17	Using Combinations of Quality Improvement Tools	519
	Answers to Selected Exercises	530
	App.: Statistical Tables	532
	Author Index	545
	Subject Index	551

Interesting book: Herbal Tonic Therapies or Please Dont Feed the Bears Cookbook

J2EE Best Practices: Java Design Patterns, Automation, and Performance

Author: Darren Broemmer

Learn how to apply robust application design to your J2EE projects

There are a number of best practices you need to consider to build highly effective J2EE components and integrate them into applications. These practices include evaluating and selecting the right set of software components and services to handle the job.

In this book, Darren Broemmer supplies you with a set of best practices for J2EE development and then teaches you how to use them to construct an application architecture referred to as the reference architecture. The design and implementation of the reference architecture is based on a set of guiding principles that are used to optimize and automate J2EE development.
In addition to the author's thorough discussions of the latest technologies for J2EE implementation-including EJB 2, Jakarta Struts, Servlets, Java Server Pages, UML, design patterns, Common Business Logic Foundation components, and XML-Broemmer addresses such topics as:

• Understanding J2EE application architecture

• Building business applications with J2EE, a business object architecture, and extensible components created with design patterns

• Designing and implementing a sample banking Web application

• Integrating proven performance-engineering and optimization practices in the development process

• Using metadata-driven, configurable foundation components to automate much of the development and processing of Web-based business applications

The companion Web site contains the source code for a Common Business Logic Foundation and sample applications from the book, including aJakarta Struts project and a banking application. Links to the Jakarta Struts frameworks and J2EE application servers such as BEA WebLogic and IBM WebSphere are also provided.