What do you “Expect”?

Authors

  • Jaranit Kaewkungwal Mahidol University, Thailand

DOI:

https://doi.org/10.59096/osir.v11i1.263073

Abstract

-

References

Walsh J. Joint probability: definition, formula & Examples [cited 2017 Nov 4]. <http://study.com/academy/lesson/joint-probability-definition-formula-examples.html>

Hildebrand AJ. Math 370/408, Actuarial Problemsolving [cited 2017 Nov 4]. <https://faculty.math.illinois.edu/~hildebr/370/370jointdistributions.pdf>

Albright EA. Joint, marginal and conditional probabilities [cited 2017 Nov 4]. <http://sites.nicholas.duke.edu/statsreview/probability/jmc/>

Plackett, RL. Karl Pearson and the Chi-square test. International Statistical Review. 1983;51:59-72.

Quigley D. Module 7.1: The binomial, chi-square and Fisher’s exact tests. 2016 [cited 2017 Nov 4]. <http://davidquigley.com/talks/2015/biostatistics/module_07.1.html>

PennState Eberly College of Science. Chi-square test of independence [cited 2017 Nov 4]. <https://onlinecourses.science.psu.edu/statprogram/node/158>

McDonald JH. Handbook of biological statistics. 3rd ed. Baltimore: Sparky House Publishing; 2014. p. 45-52 [cited 2017 Nov 4]. <http://www.biostathandbook.com/chigof.html>

Buonocore A, Pirozzi E. On the Pearson-Fisher chi-square theorem. Applied Mathematical Sciences. 2014;8(134):6733-44.

McHugh ML. The chi-square test of independence. Biochemia Medica. 2013;23(2):143-9.

Lehmann EL. The Fisher, Neyman-Pearson theories of testing hypotheses: one theory of two? Journal of the American Statistical Association. 1993;88(424):1242-9.

Inman HF. Karl Pearson and R. A. Fisher on statistical tests: a 1935 exchange from nature. The American Statistician. 1994;48(1):2-11.

Fisher RA. On the intepretation of χ2 from contigency tables, and the calculation of P. Journal of the Royal Statistical Society. 1922;58:87-94.

BMJ. Exact probability test [cited 2017 Nov 4]. <http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one/9-exact-probability-test>

Feinberg School of Medicine. PROPHET StatGuide: do your data violate goodness of fit (chi-square) test assumptions? [cited 2017 Nov 4]. <http://www.basic.northwestern.edu/statguidefiles/gf-dist_ass_viol.html>

Cochran WG. The χ2 test of goodness of fit. Ann Math Stat. 1952;25:315-45.

Graphpad Software. GraphPad statistics guide [cited 2017 Nov 4]. <https://www.graphpad.com/guides/prism/7/statistics/stat_chi-square_or_fishers_test.htm?toc=0&printWindow>

Bolboacă SD, Jäntschi L, Sestraş AF, Sestraş RE, Pamfil DC. Pearson-Fisher chi-square statistic revisited. Information. 2011;2:28-545.

Camill G. The relationship between Fisher's exact test and Pearson's chi-square test: A bayesian perspective. Psychometrika. 1995;60(2):305-12.

Published

2018-03-29

How to Cite

Kaewkungwal, J. (2018). What do you “Expect”?. Outbreak, Surveillance, Investigation & Response (OSIR) Journal, 11(1), 22–26. https://doi.org/10.59096/osir.v11i1.263073

Issue

Section

Invited article