Evaluating the statistical power of goodness-of-fit tests for health and medicine survey data

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 192-196

  Steele, M ^a,b   Smart, N ^a   Hurst, C ^c   Chaseling, J ^a  

^a BOND UNIVERSITY   (Australia)

^b BOND UNIVERSITY   (Australia)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Chi square tests; Discrete; Goodness of fit; Power

Indexed keywords

COMPUTATIONAL COMPLEXITY; MEDICINE; STATISTICAL TESTS; SURVEYS;

DISCRETE DATA; GOODNESS-OF-FIT TEST; KOLMOGOROV-SMIRNOV TEST; LIKERT SCALE; LOG LIKELIHOOD RATIO; STATISTICAL POWER; SURVEY DATA; TEST STATISTICS;

STATISTICS;

EID: 85086264969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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