참고문헌
- American Invitational Mathematics Examination: In Wikipedia, The Free Encyclopedia. Retrieved from http://en.wikipedia.org/w/index.php?title=AmericanInvitationalMathematicsExamination&oldid=418555225, 2011.
- T. Andreesscu & R. Gelca: Mathematical Olympiad Challenges. Birkhauser Boston. Retrieved from http://www.amc.maa.org, 2010.
- D. Andrich: Rasch models for measuremen. Newbury Park, CA: SAGE, 1988.
- D. Fletcher, D.I. Mackenzie & E. Villouta: Modelling skewed data with many zeros: A simple approach combining ordinary and logistic regression. Environ. Ecol. Stat. 12 (2005), 45-54. https://doi.org/10.1007/s10651-005-6817-1
- K.T. Han & R.K. Hambleton: User's manual for WinGen: Windows software that generates IRT model parameters and item responses. Center for Educational Assessment Research Report 642 (2007), 516-524.
- M.S. Johnson: Marginal maximum likelihood estimation of item response models in R. J. stat. soft. 20 (2007), 1-25.
- D. Lambert: Zero Inflated Poisson regression with an application to defects in manufacturing. Technometrics. 34 (1992), 1-14. https://doi.org/10.2307/1269547
- J.D. Lewsey & W.M. Thomson: The utility of the zero-inflated Poisson and zero-inflated negative binomial models: a case study of cross-sectional and longitudinal DMF data examining the effect of socioeconomic status. Community. Dent. Oral. 32 (2004), 183-189. https://doi.org/10.1111/j.1600-0528.2004.00155.x
- W. Mansell & P. Curtis: Top private school dumps too easy GCSEs. The GuardianE, 2009.
- T.G. Martin & B.A. Wintle, J.R. Rhodes, P.M. Kuhnert, S.A. Field, J. Low-Choy, A.J. Tyre & H.P. Possingham: Zero tolerance ecology improving ecological inference by modelling the source of zero observations. Ecol. Lett. 8 (2005), 1235-1246. https://doi.org/10.1111/j.1461-0248.2005.00826.x
- H. Ogasawara: Rasch's multiplicative Poisson model with covariates. Psychometrika. 61 (1996), 73-92. https://doi.org/10.1007/BF02296959
- G. Rasch: Probabilistic models for some intelligence and attainment tests. Copenhagen: Denmark Paedogogische Institut, 1960.
- M. Ridout, C.G.B. Demetrio & J. Hind: Models for count data with many zeros. International Biometric Conference, Cape Town, 1998.
- SAS Institute: SAS/STAT user'guide(Version 8), 2000.
- A.H. Welsh, R.B. Cunningham, C.F. Donnelly & D.B. Lindenmayer: Modeling the abundance of rare species: Statistical models for counts with extra zeros. J. Ecol. Mode. (1996), 297-308.
- S. Yang: A comparison of unidimensional and multidimensional Rasch models using parameter estimates and fit indices when assumption of unidimensionality is violated. Unpublished doctoral dissertation, Ohio State University, 2007.