Attuali sviluppi nello studio dell’associazione tra variabili di tipo qualitativo.

Authors

  • C Antonelli I.T.C. “R. de Sterlich” - Chieti;
  • E Ballone Cattedra di Statistica Medica, Univ. Degli Studi “G. D’Annunzio” - Chieti

Abstract

The most common procedure for analyzing contingency table data is by using chi-square statistic. The early development of chi-square analysis of contingency table is credited to Pearson (1904) and Fisher (1929), successively expanded by Yates, Mantel-Haenszcl etc. In this paper some developments of the chi-square function has been outlined, particularly as statistical test for the null hypothesis of independence, for subdividing contingency tables and the chi-square test for linear association between ordinal variables.

References

A.W. KIMBALL, Short-cut Formulas for the Exact Partitioning of chi square in Contingency Table, Biometrics 16, 1954.

P. ARMITAGE, Statistica medica, cd. Fellrinclli, Milano, 1992.

E. BALLATORI, Sui test statistici per il confronto tra due frequenze in

tabelle 2x2, Mclron, vol XL, 1982.

A. RIDOMI, Una formula genera/e per la scomposizione del 12, Statistica applicala, vol. 4 - mm}. 1992.

G. CHlSCl, Biometria principi e metodi, cd. Piccini, Padova, 1977.

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Published

1996-02-18

Issue

Vol. 11 (1996)

Section

Volume 11-1996

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