The Collected Works of John W. Tukey: Philosophy and Principles of Data Analysis 1965-1986, Volume 4
This volume of eleven articles compiles important papers by Tukey that examine the intriguing problems inherent in the area of multiple comparisons and provide a useful framework for thinking about them. Each volume in the set is indexed and contains a bibliography.
The future of processes of data analysis 19651
Data analysis and behavioral science 187
The growth of experimental design in 65
The future of data analysis 1962a 391
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algorithm analysis of variance answer applied approach approximately arithmetic mean assessment assumptions average batch Bayesian Bayesian inference behavior body of data Books and Software calculation choice classical coefficients Collected confidence interval confidence limits confirmatory data analysis correlation corresponding cross-validation degrees of freedom discriminant function discussion effects error estimate example exploratory data analysis Gaussian distribution graphical important indication individual inference insight internal uncertainty J. W. Tukey jackknife John least linear combinations mathematical measurement median methods Monterey Mosteller multiple normal distribution observations paper parameter plots points population posterior practice Princeton prior probability model problems procedures questions R. A. Fisher random reasonable regression residuals responses robust robust/resistant sample scale Section significance tests simple situations specific squares standard deviation statisticians statistics structure summary Table techniques theory things understanding usually values variables variation Wadsworth Advanced Books
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