Statistical Design and Analysis of Experiments: With Applications to Engineering and Science

Couverture
John Wiley & Sons, 9 mai 2003 - 760 pages
Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results.
  • Features numerous examples using actual engineering and scientific studies.
  • Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions.
  • Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs.
  • Topics can be implemented by practitioners and do not require a high level of training in statistics.
  • New edition includes new and updated material and computer output.
 

Table des matières

PART II DESIGN AND ANALYSIS WITH FACTORIAL STRUCTURE
107
PART III Design and Analysis with Random Effects
309
PART IV Design and Analysis with Quantitative Predictors and Factors
459
APPENDIX Statistical Tables
689
INDEX
723
DATA INDEX
729
Droits d'auteur

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Expressions et termes fréquents

Fréquemment cités

Page viii - I am grateful to the Literary Executor of the late Sir Ronald A. Fisher. FRS, to Dr. Frank Yates, FRS, and to Longman Group Ltd., London, for permission to reprint Table IV from their book Statistical Tables for Biological, Agricultural, and Medical Research (6th Edition, 1974).
Page 19 - ... can be used to estimate the mean of the population from which it was drawn, with a known degree of precision and confidence.

À propos de l'auteur (2003)

ROBERT L. MASON, PhD, is Institute Analyst at Southwest Research Institute in San Antonio, Texas.

RICHARD F. GUNST, PhD, is a professor in the Department of Statistical Science at Southern Methodist University in Dallas, Texas.

JAMES L. HESS, PhD, is Staff Vice President, Operations, at Leggett & Platt Inc. in Carthage, Missouri.

Informations bibliographiques