R. F. Ling

Publications48
h-index19
Citations4,808
Highly Influential Citations311
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Solving Least Squares Problems.
Correlation and Causation.
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…
Cluster analysis algorithms for data reduction and classification of objects
TLDR
In this age of modern era, the use of internet must be maximized, to get the on-line cluster analysis algorithms for data reduction and classification of objects book, as the world window, as many people suggest.
Some cautionary notes on the use of principal components regression
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…
General Classes of Influence Measures for Multivariate Regression
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…
A computer generated aid for cluster analysis
TLDR
A well-known set of data consisting of the correlations of 24 psychological tests is used to illustrate the comparison of groupings by four methods of factor analysis and two methods of cluster analysis.
K-Clustering as a Detection Tool for Influential Subsets in Regression
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…
A Probability Theory of Cluster Analysis
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…
Comparison of Several Algorithms for Computing Sample Means and Variances
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…
The Accuracy of Peizer Approximations to the Hypergeometric Distribution, with Comparisons to Some other Approximations
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…
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