Handbook of Mathematical Statistics.

Rietz, H. L.; Carver, Harry C.; Crathorne, A. R.; Crum, William Leonard; Glover, James W.; Huntington, Edward V.; Kelley, Truman L.; Persons, Warren M.; Young, Allyn A.

doi:10.2307/2277129

Cited by 21 publications

(11 citation statements)

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“…Not only were the errors Pearson made not easily discovered; even after they were pointed out in 1922 they were not widely understood. In 1924, a Handbook of Mathematical Statistics was published, prepared under the auspices of the U.S. National Research Council (Rietz, 1924). The Editor-in-Chief was H. L. Rietz, and major contributions were made by Harvard University Professor E. V. Huntington and University of Michigan Professor H. C. Carver (later the founding editor of the Annals of Mathematical Statistics).…”

Section: Resultsmentioning

confidence: 99%

Karl Pearson’s Theoretical Errors and the Advances They Inspired

Stigler

2008

Statist. Sci.

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Karl Pearson played an enormous role in determining the content and organization of statistical research in his day, through his research, his teaching, his establishment of laboratories, and his initiation of a vast publishing program. His technical contributions had initially and continue today to have a profound impact upon the work of both applied and theoretical statisticians, partly through their inadequately acknowledged influence upon Ronald A. Fisher. Particular attention is drawn to two of Pearson's major errors that nonetheless have left a positive and lasting impression upon the statistical world.Key words and phrases: Karl Pearson, R. A. Fisher, Chi-square test, degrees of freedom, parametric inference, history of statistics.

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Section: Resultsmentioning

confidence: 99%

Karl Pearson’s Theoretical Errors and the Advances They Inspired

Stigler

2008

Statist. Sci.

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“…A little over a decade later, in (Lee, Judge, and Zellner, 1968), tools were developed to find both maximum likelihood and Bayesian estimates of transition probabilities when aggregate data (the number of times the run moves from i heads to j heads) is available, again for n fixed. They use the so-called``Lexis schemeº (Reitz, 1934), appropriate when n is large, to approximate the rows of the full n 1 Â n 1 transition matrix. In our framework, this involves approximating the sum of two binomial distributions, in the ith row, by a single binomial distribution.…”

Section: A General Methodsmentioning

confidence: 99%

A Multiple Binary Markov Chain Model for Explaining the Behaviour of Diverse Biological Phenomena

et al. 1999

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“…Carver, Crathorne, and Rietz embraced Pearson's work in the 1920s usually through a study of aspects of Pearson curves for probability distributions. These three, with Edward Huntington, Truman Kelley, and some others were contributors to Handbook of Mathematical Statistics in 1924 (Rietz, 1924). Sections of the book were written by different authors: Carver on Pearson curves, Rietz and Crathorne on correlation, Kelly on a generalized correlation, and Huntington on least squares.…”

Section: Mathematical Statistics After 1920mentioning

confidence: 99%

Karl Pearson's Influence in the United States

Bellhouse¹

2009

Int Statistical Rev

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Karl Pearson, the founder of mathematical statistics, was the leading statistical researcher from the 1890s up to about 1920. His interests were wide-ranging and so his impact on statistics in the United States was also wide-ranging. Many American researchers came to University College London to study with him. Others studied his work from afar. In the United States, Pearsonian statistics first penetrated the academic landscape in biology. This was soon followed by the fields of economics and psychology. It was not until relatively late in Pearson's career that several American mathematicians took up statistics as a serious research topic. Copyright (c) 2009 The Author. Journal compilation (c) 2009 International Statistical Institute.

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Handbook of Mathematical Statistics.

Cited by 21 publications

References 0 publications

Karl Pearson’s Theoretical Errors and the Advances They Inspired

Karl Pearson’s Theoretical Errors and the Advances They Inspired

A Multiple Binary Markov Chain Model for Explaining the Behaviour of Diverse Biological Phenomena

Karl Pearson's Influence in the United States

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