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statistics for experimenters ; an introduction to design, data analysis, and model building

By: Contributor(s): Language: English Series: wiley series in probability and mathematical statistics | applied probability and statistics | bradley, ralph a. (ed.) | hunter, j. stuart (ed.) | kendall, david g. (ed.) | et alPublication details: new york, chichester, brisbane : john wiley and sons 1978Edition: 1. edDescription: xviii, 653 ppISBN:
  • 0-471-09315-7
Subject(s):
Contents:
from the table of contents: science and statistics; comparing two treatments: use of external reference distribution to compare two means; random sampling and the declaration of independence; randomization and blocking with paired comparisons; significance tests and confidence intervals for means, variances, proportions, and frequencies; comparing more than two treatments: experiments to compare k treatment means; randomized blocks and two-way factorial designs; designs with more than one blocking variable; measuring the effects of variables: empirical modeling; factorial designs at two levels; more applications of factorial designs; fractional factorial designs at two levels; more applications of fractional factorial designs; building models and using them: simple modeling with least squares (regression analysis); response surface methods; mechanistic model building; study of variation; modeling dependence. time series; appendix: tables;
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Item type Current library Shelving location Call number Status Date due Barcode
Loanable Institute for Advanced Studies (IHS) Book 8759-A Available IHS102490107

from the table of contents: science and statistics; comparing two treatments: use of external reference distribution to compare two means; random sampling and the declaration of independence; randomization and blocking with paired comparisons; significance tests and confidence intervals for means, variances, proportions, and frequencies; comparing more than two treatments: experiments to compare k treatment means; randomized blocks and two-way factorial designs; designs with more than one blocking variable; measuring the effects of variables: empirical modeling; factorial designs at two levels; more applications of factorial designs; fractional factorial designs at two levels; more applications of fractional factorial designs; building models and using them: simple modeling with least squares (regression analysis); response surface methods; mechanistic model building; study of variation; modeling dependence. time series; appendix: tables;

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