PL EN


2014 | 189 | 40-48
Article title

O testowaniu istotności współczynników korelacji cząstkowej i wielorakiej dla wielowymiarowych tablic wielodzielczych

Content
Title variants
EN
On Testing Partial Dependency for Data in Contingency Tables
Languages of publication
PL
Abstracts
EN
The chi-square test of independence is used for data presented in contingency tables. The three dimensional contingency tables are analyzed in the paper. If the independence test leads to a significant result, then a researcher should conduct additional analysis to clarify the nature of the relationship between the three variables. The proposal of the partial independence test for data in contingency tables is presented in the paper. The proposal is based on the permutation test.
Year
Volume
189
Pages
40-48
Physical description
Contributors
References
  • Aczel A. (2000), Statystyka w zarządzaniu, WN PWN, Warszawa.
  • Agresti A. (1996), An Introduction to Categorical Data Analysis, John Wiley & Sons, New York.
  • Domański Cz. (1990), Testy statystyczne, PWE, Warszawa.
  • Efron B., Tibshirani R. (1993), An Introduction to the Bootstrap, Chapman & Hall. New York.
  • Good P. (2005), Permutation, Parametric and Bootstrap Tests of Hypotheses, Springer Science Business Media, New York.
  • Sheskin D.J. (2004), Handbook of Parametric and Nonparametric Statistical Procedures, Chapman & Hall-CRC, Boca Raton.
  • Zar J.H. (2010), Biostatical Analysis, Pearson Education, New Jersey.
  • Zeliaś A., Pawełek B., Wanat S. (2002), Metody statystyczne, PWE, Warszawa.
Document Type
Publication order reference
Identifiers
ISSN
2083-8611
YADDA identifier
bwmeta1.element.desklight-5bef72fd-b3ac-4506-a693-a57391edca68
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