On the Criterion that a given System of Deviations from the Probable in the Case of a Correlated System of Variables is such that it can be reasonably supposed to have arisen from Random Sampling.

PEARSON, KARL. - INTRODUCING THE "CHI-SQUARED GOODNESS-OF-FIT TEST"

About this Item

London, Taylor and Francis, 1900. Contemp. hcalf, spine gone and covers loose. In: "The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science", Vol. 50, Fifth Series. VI,(2),624 pp. a. 5 plates. (Entire volume offered). Pearson's paper: pp. 157-175. A stippled stamp on titlepage. Internally clean and fine. In this fundamental paper in statistics, Pearson introduced his chi-squared test, the statistical procedure whose results are evaluated by reference to the chi-squared distribution, or the formula yielding a measure of how well a set of observations fits a theoretical hypothesis, the test of goodness of fit. A founding seminal paper in statistical testing theory."Pearson?s many contributions to statistical theory and practice, many contributions to statistical theory and practice, this X2 text for goodness of fit is certainly one of his greatest" and in its original and extended forms it has remained one of the most useful of all statistical tests." (DSB).Parkinson "Breakthroughs" 1900 M.

Seller Inventory # 47148

Bibliographic Details

• Title: On the Criterion that a given System of Deviations from the Probable in the Case of a Correlated System of Variables is such that it can be reasonably supposed to have arisen from Random Sampling.
• Binding: Soft cover
• Seller catalogs:
  • Mathematics