The Collected Works of John W. Tukey: Philosophy and Principles of Data Analysis 1965-1986, Volume 4This 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. |
Contents
| 1967 | |
Data analysis and behavioral science 187 | 1985 |
data 1951b | 493 |
Unsolved problems of experimental 77 | 499 |
The future of data analysis 1962a 391 | 502 |
Preface to the Collected Works by William S Cleveland xi | 517 |
statistics 1954d | 549 |
A statisticians comment 1967e | 579 |
Lags in statistical technology 1973c | 777 |
Exploratory data analysis as a part of a | 793 |
We need both exploratory and | 811 |
Choosing techniques for the analysis | 869 |
An overview of techniques of data analysis | 891 |
Introduction to styles of data analysis | 969 |
history and prospects 1984d | 985 |
Sunset salvo 1986a | 1003 |
What have statisticians been forgetting? | 587 |
Data analysis including statistics 1968e | 601 |
sanctification or | 721 |
Some further inputs 1970b | 741 |
Data analysis computation and | 753 |
Other editions - View all
The Collected Works of John W. Tukey: Philosophy and Principles of Data ... L.V. Jones No preview available - 1987 |
Common terms and phrases
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 multiple comparisons 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