Design, data, and analysis
Author(s)
Bibliographic Information
Design, data, and analysis
（Wiley series in probability and mathematical statistics, . Applied probability and statistics）
Wiley, 1987
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Includes bibliographies
Includes index
Description and Table of Contents
Description
This collection of essays provides a timely challenge to designers of statistical computing systems: its descriptions and analyses of experiments, complete with full data and explanations of their contexts, will encourage readers to embark on independent analyses of their own. Several chapters indicate the range of problems facing practicing statisticians, while others are designed to provide a contemporary overview of the field. Among the topics covered are a description of a course on experimental design for engineers, scientists and managers implemented at General Electric, including factorial and fractional factorial experiments, blocking, response surface analysis and related areas; how a two-stage procedure can be used to ensure that certain calibration standards conform to desired tolerances; and numerous design issues, including an intriguing experiment of the efficacy of a vaccine for cattle, analyses of eight data sets from biology, an analysis of data from a study of dielectric constants of certain polymers, and many other novel topics.
Table of Contents
- Analysis of Unreplicated Factorials Allowing for Possibly Faulty Observations
- Variable Selection in Clustering and Other Contexts
- Weighting Qualitative Data
- Explaining Experimental Design Fundamentals to Engineers: A Modern Approach
- Repeatability and Reproducibility: Some Problems in Applied Statistics
- Design, Modelling and Analysis of Some Biological Data Sets
- Analytical Representation of Dielectric Constants: A Complex Multiresponse Problem
- Indirect Measurement of Work
- Are Some Latin Squares Better than Others? Graphical Exploratory Analysis of Variance Illustrated on a Splitting of the Johnson and Tsao Data
- Analysis of a Two-Way Table
- Reusing Published Examples: A Case of Caveat Emptor
- Index.
by "Nielsen BookData"
