Series:

Wiley Series in Probability and Statistics

1 primary work • 5 total works

Book 401

Cover of Modern Experimental Design

Modern Experimental Design

by Thomas P. Ryan

Published 1 January 2006
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of:* Conditional effects analysis as a proposed general method of analysis* Multiresponse optimization* Space-filling designs, including Latin hypercube and uniform designs* Restricted regions of operability and debarred observations* Analysis of Means (ANOM) used to analyze data from various types of designs* The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches.
Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

Cover of Modern Experimental Design Custom
A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of:* Conditional effects analysis as a proposed general method of analysis* Multiresponse optimization* Space-filling designs, including Latin hypercube and uniform designs* Restricted regions of operability and debarred observations* Analysis of Means (ANOM) used to analyze data from various types of designs* The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches.
Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

Cover of Statistical Methods for Quality Improvement
This up-to-date survey of statistical quality control reviews basic probability and statistics, basic control chart principles (including cumulative sum procedures and multivariate charts), and provides insight into statistically designed experiments and related topics. It also reviews the use of statistics in quality control in the US and Japan, with a critical examination of Taguchi methods. The approach is conceptual rather than mathematical, making this book accessible to a wide audience. The text has been designed for statisticians, engineers, production and operations managers.

Cover of Modern Regression Methods

Modern Regression Methods

by Thomas P. Ryan

Published 19 December 1996
Regression is a common statistical technique. This synthesis of the state-of-the-art regression methodology features a data analysis orientation and comprehensive treatment of regression diagnostics.

Cover of Sample Size Determination and Power

A comprehensive approach to sample size determination and power with applications for a variety of fields

Sample Size Determination and Power features a modern introduction to the applicability of sample size determination and provides a variety of discussions on broad topics including epidemiology, microarrays, survival analysis and reliability, design of experiments, regression, and confidence intervals.

The book distinctively merges applications from numerous fields such as statistics, biostatistics, the health sciences, and engineering in order to provide a complete introduction to the general statistical use of sample size determination. Advanced topics including multivariate analysis, clinical trials, and quality improvement are addressed, and in addition, the book provides considerable guidance on available software for sample size determination. Written by a well-known author who has extensively class-tested the material, Sample Size Determination and Power:

  • Highlights the applicability of sample size determination and provides extensive literature coverage
  • Presents a modern, general approach to relevant software to guide sample size determination including CATD (computer-aided trial design)
  • Addresses the use of sample size determination in grant proposals and provides up-to-date references for grant investigators

An appealing reference book for scientific researchers in a variety of fields, such as statistics, biostatistics, the health sciences, mathematics, ecology, and geology, who use sampling and estimation methods in their work, Sample Size Determination and Power is also an ideal supplementary text for upper-level undergraduate and graduate-level courses in statistical sampling.