Share This Author
An algorithm for the machine calculation of complex Fourier series
Good generalized these methods and gave elegant algorithms for which one class of applications is the calculation of Fourier series, applicable to certain problems in which one must multiply an N-vector by an N X N matrix which can be factored into m sparse matrices.
Comparing individual means in the analysis of variance.
- J. Tukey
- 1 June 1949
The practitioner of the analysis of variance often wants to draw as many conclusions as are reasonable about the relation of the true means for individual "treatments," and a statement by the F-test…
Exploratory Data Analysis
- J. Tukey
- GeologyEncyclopedia of GIS
- 1 December 1980
Variations of Box Plots
Abstract Box plots display batches of data. Five values from a set of data are conventionally used; the extremes, the upper and lower hinges (quartiles), and the median. Such plots are becoming a…
Scatter/Gather: a cluster-based approach to browsing large document collections
This work presents a document browsing technique that employs document clustering as its primary operation, and presents fast (linear time) clustering algorithms which support this interactive browsing paradigm.
A Projection Pursuit Algorithm for Exploratory Data Analysis
An algorithm for the analysis of multivariate data is presented and is discussed in terms of specific examples to find one-and two-dimensional linear projections of multivariable data that are relatively highly revealing.
Understanding Robust and Exploratory Data Analysis.
Estimators of Location: An Outline of the Theory (C. Goodall).
Data Analysis and Regression: A Second Course in Statistics
The assumption is made in this volume devoted to data analysis and regression that the student has had a 1st course in statistics. Attitudes and approaches are more important than the techniques this…
Performance of Some Resistant Rules for Outlier Labeling
The techniques of exploratory data analysis include a resistant rule for identifying possible outliers in univariate data that uses the lower and upper fourths, FL and FU (approximate quartiles), and defines the some-outside rate per sample as the probability that a sample will contain one or more outside observations.