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Correlation and Causation.

- R. F. Ling, D. A. Kenny
- Education
- 1 June 1982

The ideal method of science is the study of the direct influence of one condition on another in experiments in which all other possible causes of variation are eliminated. Unfortunately, causes of… Expand

Cluster analysis algorithms for data reduction and classification of objects

- R. F. Ling
- Computer Science
- 1 November 1981

TLDR

Some cautionary notes on the use of principal components regression

- A. Hadi, R. F. Ling
- Mathematics
- 1 February 1998

Abstract Many textbooks on regression analysis include the methodology of principal components regression (PCR) as a way of treating multicollinearity problems. Although we have not encountered any… Expand

General Classes of Influence Measures for Multivariate Regression

- Bruce E. Barrett, R. F. Ling
- Mathematics
- 1 March 1992

Abstract Many of the existing measures for influential subsets in univariate ordinary least squares (OLS) regression analysis have natural extensions to the multivariate regression setting. Such… Expand

A computer generated aid for cluster analysis

- R. F. Ling
- Computer ScienceCACM
- 1 June 1973

TLDR

K-Clustering as a Detection Tool for Influential Subsets in Regression

- J. B. Gray, R. F. Ling
- Mathematics
- 1 November 1984

This article describes a new methodology for the detection of influential subsets in regression. The method is based on an adaptation of computational and graphical techniques used in cluster… Expand

A Probability Theory of Cluster Analysis

- R. F. Ling
- Mathematics
- 1 March 1973

Abstract An explicit definition of a (k, r)-cluster is proposed. Each (k, r)-cluster has the property that each of its elements is within a distance r of at least k other elements of the same cluster… Expand

Comparison of Several Algorithms for Computing Sample Means and Variances

- R. F. Ling
- Computer Science
- 1 December 1974

Abstract Several one-pass and two-pass algorithms for the computation of sample means and variances are compared by their performance on sets of randomly generated data and systematically generated… Expand

The Accuracy of Peizer Approximations to the Hypergeometric Distribution, with Comparisons to Some other Approximations

- R. F. Ling, J. Pratt
- Mathematics
- 1 March 1984

Abstract Results of an extensive empirical study of the accuracy of 12 normal and 3 binomial approximations to the hypergeometric distribution are presented in terms of maximum absolute error under… Expand

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