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Volumn , Issue , 2014, Pages 1-294

Modeling count data

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EID: 84953740863     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Book
Times cited : (563)

References (113)
  • 1
    • 0000501656 scopus 로고
    • Information theory and extension of the maximum likelihood principle
    • ed. B. N. Petrov and F. Csaki, Budapest: Akademiai Kiado
    • Akaike, H. 1973. –Information Theory and Extension of the Maximum Likelihood Principle,— in Second International Symposium on Information Theory, ed. B. N. Petrov and F. Csaki, pp. 267-281. Budapest: Akademiai Kiado.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 3142702323 scopus 로고
    • Tobit models: A survey
    • Amemiya, T. 1984. –Tobit Models: A Survey.— Journal of Econometrics 24: 3-61.
    • (1984) Journal of Econometrics , vol.24 , pp. 3-61
    • Amemiya, T.1
  • 3
    • 0344590370 scopus 로고
    • Contribution to the discussion of h. Hotelling's paper
    • Anscombe, F. J. 1953. –Contribution to the Discussion of H. Hotelling's Paper.— Journal of the Royal Statistical SocietySeries B 15 (no. 1): 229-230.
    • (1953) Journal of the Royal Statistical Societyseries B , vol.15 , Issue.1 , pp. 229-230
    • Anscombe, F.J.1
  • 4
    • 66149171656 scopus 로고    scopus 로고
    • Longterm changes in deep-water fish populations in the north east atlantic: A deeper-reaching effect of fisheries?
    • Bailey, M., M. A. Collins, J. D. M. Gordon, A. F. Zuur, and I. G. Priede. 2008. –Longterm Changes in Deep-water Fish Populations in the North East Atlantic: A Deeper-Reaching Effect of Fisheries?— Proceedings of the Royal Society B 275: 1965-1969.
    • (2008) Proceedings of the Royal Society B , vol.275 , pp. 1965-1969
    • Bailey, M.1    Collins, M.A.2    Gordon, J.D.3    Zuur, A.F.4    Priede, I.G.5
  • 5
    • 80051664607 scopus 로고    scopus 로고
    • Using information criteria to select the correct varianceencovariance structure for longitudinal data in ecology
    • Barnett, A., N. Koper, A. Dobson, F. Schmiegelow, and M. Manseau. 2010. –Using Information Criteria to Select the Correct VarianceENCovariance Structure for Longitudinal Data in Ecology.— Methods in Ecology and Evolution 1 (no. 1): 15-24.
    • (2010) Methods in Ecology and Evolution , vol.1 , Issue.1 , pp. 15-24
    • Barnett, A.1    Koper, N.2    Dobson, A.3    Schmiegelow, F.4    Manseau, M.5
  • 7
    • 0000666958 scopus 로고
    • On prediction and the power transformation family
    • Carroll, R. J., and D. Ruppert. 1981. –On Prediction and the Power Transformation Family.— Biometrika 68: 609-615.
    • (1981) Biometrika , vol.68 , pp. 609-615
    • Carroll, R.J.1    Ruppert, D.2
  • 9
    • 0009312060 scopus 로고
    • A queuing model with state dependent service rates
    • Conway, R. W., and W. L. Maxwell. 1962. –A Queuing Model with State Dependent Service Rates.— Journal of Industrial Engineering 12: 132-136.
    • (1962) Journal of Industrial Engineering , vol.12 , pp. 132-136
    • Conway, R.W.1    Maxwell, W.L.2
  • 10
    • 0000591336 scopus 로고
    • Some statistical models for limited dependent variables with application to the demand for durable goods
    • Cragg, J. C. 1971. –Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods.— Econometrica 39: 829-844.
    • (1971) Econometrica , vol.39 , pp. 829-844
    • Cragg, J.C.1
  • 12
    • 84890927960 scopus 로고    scopus 로고
    • Testing for zero inflation in count models: Bias correction for the vuong test
    • Desmarais, B. A., andJ. J. Harden. 2013. –Testing for Zero Inflation in Count Models: Bias Correction for the Vuong Test.— Stata Journal 13 (no. 4): 810-835.
    • (2013) Stata Journal , vol.13 , Issue.4 , pp. 810-835
    • Desmarais, B.A.1    Harden, J.J.2
  • 14
    • 84895372431 scopus 로고
    • Double exponential families and their use in generalized linear regression
    • Efron, B. 1986. –Double Exponential Families and Their Use in Generalized Linear Regression.— Journal of the American Statistical Association 81: 709-721.
    • (1986) Journal of the American Statistical Association , vol.81 , pp. 709-721
    • Efron, B.1
  • 16
    • 84863235069 scopus 로고    scopus 로고
    • Analysis of count data with covariate dependence in both mean and variance
    • Faddy, M., and D. Smith. 2012. –Analysis of Count Data with Covariate Dependence in Both Mean and Variance.— Journal of Applied Statistics 38: 2683-2694.
    • (2012) Journal of Applied Statistics , vol.38 , pp. 2683-2694
    • Faddy, M.1    Smith, D.2
  • 18
    • 34848858315 scopus 로고    scopus 로고
    • Zero-truncated generalized poisson regression model with an application to domestic violence
    • K. Singh. 2006. –Zero-Truncated Generalized Poisson Regression Model with an Application to Domestic Violence.— Journal of Data Science 4: 117-130.
    • (2006) Journal of Data Science , vol.4 , pp. 117-130
    • Singh, K.1
  • 19
    • 79952965186 scopus 로고    scopus 로고
    • Estimation of hurdle models for overdispersed count data
    • Fabermacher, H. 2011. –Estimation of Hurdle Models for Overdispersed Count Data.— Stata Journal 11 (no. 1): 82-94.
    • (2011) Stata Journal , vol.11 , Issue.1 , pp. 82-94
    • Fabermacher, H.1
  • 20
    • 84886102304 scopus 로고    scopus 로고
    • Extensions of hurdle models for overdispersed count data
    • Fabermacher, H. 2013. –Extensions of Hurdle Models for Overdispersed Count Data.— Health Economics 22 (no.11): 1398-1404.
    • (2013) Health Economics , vol.22 , Issue.11 , pp. 1398-1404
    • Fabermacher, H.1
  • 22
    • 84862196499 scopus 로고    scopus 로고
    • The impact of forest stand structure on red squirrel habitat use
    • Flaherty, S., G. Patenaude, A. Close, and P. W. W. Lutz. 2012. –The Impact of Forest Stand Structure on Red Squirrel Habitat Use.— Forestry 85: 437-444.
    • (2012) Forestry , vol.85 , pp. 437-444
    • Flaherty, S.1    Patenaude, G.2    Close, A.3    Lutz, P.W.4
  • 25
    • 0002898617 scopus 로고
    • Abnormal selection bias
    • ed. S. Karlin, T. Amemiya, and L. A. Goodman, New York: Academic Press
    • Goldberger, A. S. 1983. –Abnormal Selection Bias,— in Studies in Econometrics, Time Series, andMultivariateStatistics," ed. S. Karlin, T. Amemiya, and L. A. Goodman, pp. 67-85. New York: Academic Press.
    • (1983) Studies in Econometrics, Time Series, Andmultivariatestatistics , pp. 67-85
    • Goldberger, A.S.1
  • 26
  • 28
    • 43849112975 scopus 로고    scopus 로고
    • Functional forms for the negative binomial model for count data
    • Greene, W. H.2008. Functional Forms for the Negative Binomial Model for Count Data, Economics Letters, 99 (no. 3): 585-590.
    • (2008) Economics Letters , vol.99 , Issue.3 , pp. 585-590
    • Greene, W.H.1
  • 33
  • 34
    • 85001038125 scopus 로고    scopus 로고
    • Regression models for count data based on the negative binomial(P) distribution
    • J. M. Hilbe. 2014a. –Regression Models for Count Data Based on the Negative Binomial(p) Distribution.— Stata Journal 14.
    • (2014) Stata Journal
    • Hilbe, J.M.1
  • 35
    • 84953780683 scopus 로고    scopus 로고
    • Truncated regression models for count data
    • J. M. Hilbe. 2014b. –Truncated Regression Models for Count Data.— Stata Journal 14.
    • (2014) Stata Journal
    • Hilbe, J.M.1
  • 36
    • 84953780684 scopus 로고    scopus 로고
    • Modeling count data with generalized distributions
    • Harris, T., J. M. Hilbe, and J. W. Hardin. 2013. –Modeling Count Data with Generalized Distributions.— Stata Journal.
    • (2013) Stata Journal
    • Harris, T.1    Hilbe, J.M.2    Hardin, J.W.3
  • 37
    • 84872382548 scopus 로고    scopus 로고
    • Modeling underdispersed count data with generalized poisson regression
    • Harris, T., Z. Yang, and J. W. Hardin. 2012. –Modeling Underdispersed Count Data with Generalized Poisson Regression.— Stata Journal 12 (no. 4): 736-747.
    • (2012) Stata Journal , vol.12 , Issue.4 , pp. 736-747
    • Harris, T.1    Yang, Z.2    Hardin, J.W.3
  • 38
    • 84972488102 scopus 로고
    • Generalized additive models
    • Hastie, T., and R. Tibshirani. 1986. –Generalized Additive Models.— Statistical Science 1 (no. 3): 297-318.
    • (1986) Statistical Science , vol.1 , Issue.3 , pp. 297-318
    • Hastie, T.1    Tibshirani, R.2
  • 40
    • 0000250716 scopus 로고
    • Specification tests in econometrics
    • Hausman, J. A. 1978. –Specification Tests in Econometrics.— Econometrica 46: 1251-1271.
    • (1978) Econometrica , vol.46 , pp. 1251-1271
    • Hausman, J.A.1
  • 41
    • 84935670624 scopus 로고
    • Econometric models for count data with an application to the patents-r&d relationship
    • B. Hall, and Z. Griliches. 1984. –Econometric Models for Count Data with an Application to the Patents-R&D Relationship.— Econometrica 52: 909-938.
    • (1984) Econometrica , vol.52 , pp. 909-938
    • Hall, B.1    Griliches, Z.2
  • 42
    • 0000125534 scopus 로고
    • Sample selection bias as a specification error
    • Heckman, J. 1979. –Sample Selection Bias as a Specification Error.— Econometrica 47: 153-161.
    • (1979) Econometrica , vol.47 , pp. 153-161
    • Heckman, J.1
  • 43
    • 0003941689 scopus 로고
    • Generalized linear models for altered zero probabilities and overdispersion in count data
    • University of California, San Francisco
    • Heilbron, D. 1989. –Generalized Linear Models for Altered Zero Probabilities and Overdispersion in Count Data.— Technical Report, Department of Epidemiology and Biostatistics, University of California, San Francisco.
    • (1989) Technical Report, Department of Epidemiology and Biostatistics
    • Heilbron, D.1
  • 45
    • 84924009921 scopus 로고
    • Generalized linear models using power links
    • 12: sg16.1
    • Hilbe, J. M. 1993b. –Generalized Linear Models Using Power Links.— Stata Technical Bulletin 12: sg16.1.
    • (1993) Stata Technical Bulletin
    • Hilbe, J.M.1
  • 47
    • 84953780685 scopus 로고
    • Negative binomial reegression
    • 18: sg16.5
    • Hilbe, J. M. 1994a. –Negative Binomial Reegression.— Stata Technical Bulletin 18: sg16.5.
    • (1994) Stata Technical Bulletin
    • Hilbe, J.M.1
  • 48
    • 3643112030 scopus 로고
    • Generalized linear models
    • Hilbe, J. M. 1994b. –Generalized Linear Models.— The American Statistician 48 (no. 3): 255-265.
    • (1994) The American Statistician , vol.48 , Issue.3 , pp. 255-265
    • Hilbe, J.M.1
  • 49
    • 84923972006 scopus 로고    scopus 로고
    • Right, left, and uncensored poisson regression
    • Hilbe, J. M. 1998. –Right, Left, and Uncensored Poisson Regression.— Stata Technical Bulletin 46: 18-20.
    • (1998) Stata Technical Bulletin , vol.46 , pp. 18-20
    • Hilbe, J.M.1
  • 50
    • 84923972009 scopus 로고    scopus 로고
    • Two-parameter log-gamma and log-inverse gaussian models
    • College Station, TX: Stata Press
    • Hilbe, J. M. 2000. –Two-Parameter log-gamma and log-inverse Gaussian Models,— in Stata Technical Bulletin Reprints, pp.118-121. College Station, TX: Stata Press.
    • (2000) Stata Technical Bulletin Reprints , pp. 118-121
    • Hilbe, J.M.1
  • 52
    • 84953780687 scopus 로고    scopus 로고
    • Censornb: Stata module to estimate censored negative binomial regression as survival model
    • Hilbe, J. M. 2005b. –CENSORNB: Stata Module to Estimate Censored Negative Binomial Regression as Survival Model.— Boston College of Economics, Statistical Software Components, http://ideas.repec.org/c/boc/bocode/s456508.html.
    • (2005) Boston College of Economics, Statistical Software Components
    • Hilbe, J.M.1
  • 54
    • 49649089115 scopus 로고    scopus 로고
    • The co-evolution of statistics and hz
    • ed. S. S. Sawilowsky, Charlotte, NC: Information Age Publishing
    • Hilbe, J. M. 2007b. –The Co-evolution of Statistics and Hz,— in Real Data Analysis, ed. S. S. Sawilowsky, pp. 3-20. Charlotte, NC: Information Age Publishing.
    • (2007) Real Data Analysis , pp. 3-20
    • Hilbe, J.M.1
  • 56
    • 84953780688 scopus 로고    scopus 로고
    • Cpoissone: Stata module to estimate censored poisson regression (econometric parameterization)
    • Hilbe, J. M. 2009b. –CPOISSONE: Stata Module to Estimate Censored Poisson Regression (Econometric Parameterization).— Boston College of Economics, Statistical Software Components, http://ideas.repec.org/c/boc/bocode/s457079.html.
    • (2009) Boston College of Economics, Statistical Software Components
    • Hilbe, J.M.1
  • 60
    • 84923991621 scopus 로고    scopus 로고
    • second edition. Cambridge: Cambridge University Press
    • Hilbe, J. M. 2011. Negative Binomial Regression, second edition. Cambridge: Cambridge University Press.
    • (2011) Negative Binomial Regression
    • Hilbe, J.M.1
  • 63
    • 67649362269 scopus 로고    scopus 로고
    • Count response regression models
    • ed. C. R. Rao, J. P. Miller, and D. C. Rao, Amsterdam: Elsevier
    • Hilbe, J. M., and W. H. Greene. 2008. –Count Response Regression Models,— in Handbook of Statistics, vol. 27, ed. C. R. Rao, J. P. Miller, and D. C. Rao, pp. 210-252. Amsterdam: Elsevier.
    • (2008) Handbook of Statistics , vol.27 , pp. 210-252
    • Hilbe, J.M.1    Greene, W.H.2
  • 64
    • 63149190796 scopus 로고    scopus 로고
    • Working-correlation-structure identification in generalized estimating equations
    • Hin, L., and Y. Wang. 2008. –Working-Correlation-Structure Identification in Generalized Estimating Equations.— Statistics in Medicine 28: 642-658.
    • (2008) Statistics in Medicine , vol.28 , pp. 642-658
    • Hin, L.1    Wang, Y.2
  • 67
  • 68
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • Hurvich, C. M., and C. Tsai. 1989. –Regression and Time Series Model Selection in Small Samples.— Biometrika 76 (no. 2): 297-307.
    • (1989) Biometrika , vol.76 , Issue.2 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.2
  • 69
    • 5244266684 scopus 로고
    • The generalized waring distribution applied to accidenttheory
    • Irwin, J. O. 1968. –The Generalized Waring Distribution Applied to AccidentTheory.— Journal of the Royal Statistical Society Series A 131 (no. 2): 205-225.
    • (1968) Journal of the Royal Statistical Society Series A , vol.131 , Issue.2 , pp. 205-225
    • Irwin, J.O.1
  • 70
    • 84988052086 scopus 로고
    • Negative binomial and mixed poisson regression
    • Lawless, J. F. 1987. –Negative Binomial and Mixed Poisson Regression.— Canadian Journal of Statistics 15 (no. 3): 209-225.
    • (1987) Canadian Journal of Statistics , vol.15 , Issue.3 , pp. 209-225
    • Lawless, J.F.1
  • 74
    • 84953780690 scopus 로고    scopus 로고
    • Application of the conway-maxwell-poisson generalized linear model for analyzing motor vehicle crashes
    • Lord, D., S. E. Guikema, and S. R. Geedipally. 2007. –Application of the Conway-Maxwell-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes.— Unpublished manuscript.
    • (2007) Unpublished Manuscript
    • Lord, D.1    Guikema, S.E.2    Geedipally, S.R.3
  • 77
    • 0001898235 scopus 로고
    • Quasi-likelihood functions
    • McCullagh P. 1983. –Quasi-likelihood Functions.— Annals of Statistics 11: 59-67.
    • (1983) Annals of Statistics , vol.11 , pp. 59-67
    • McCullagh, P.1
  • 79
    • 84953780691 scopus 로고    scopus 로고
    • Un modelo de valla doble para datos de conteo y su aplicacion en el estudio de la fecundidad en mexico
    • ed. A. Mendoza. College Station, TX: Stata Press
    • Miranda, A. 2013. –Un modelo de valla doble para datos de conteo y su aplicacion en el estudio de la fecundidad en Mexico,— in Aplicaciones en Economia y Ciencias Sociales con Stata, ed. A. Mendoza. College Station, TX: Stata Press.
    • (2013) Aplicaciones En Economia Y Ciencias Sociales Con Stata
    • Miranda, A.1
  • 82
    • 0000854272 scopus 로고
    • Specification and testing of some modified count data models
    • Mullahy, J. 1986. –Specification and Testing of Some Modified Count Data Models.— Journal of Econometrics 33: 341-365.
    • (1986) Journal of Econometrics , vol.33 , pp. 341-365
    • Mullahy, J.1
  • 83
    • 0000456152 scopus 로고
    • An extended quasi-likelihood function
    • Nelder, J., and D. Pregibon. 1987. –An Extended Quasi-likelihood Function.— Biometrika 74: 221-232.
    • (1987) Biometrika , vol.74 , pp. 221-232
    • Nelder, J.1    Pregibon, D.2
  • 84
    • 0005889129 scopus 로고
    • Practical applications of the statistics of repeated events, particularly to industrial accidents
    • Newbold, E. M. 1927. –Practical Applications of the Statistics of Repeated Events, Particularly to Industrial Accidents.— Journal of the Royal Statistical Society 90: 487-547.
    • (1927) Journal of the Royal Statistical Society , vol.90 , pp. 487-547
    • Newbold, E.M.1
  • 85
    • 0035102570 scopus 로고    scopus 로고
    • Akaike's information criterion in generalized estimating equations
    • Pan, W. 2001. –Akaike's Information Criterion in Generalized Estimating Equations.— Biometrics 57: 120-125.
    • (2001) Biometrics , vol.57 , pp. 120-125
    • Pan, W.1
  • 90
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G. E. 1978. –Estimating the Dimension of a Model.— Annals of Statistics 6 (no. 2): 461-464.
    • (1978) Annals of Statistics , vol.6 , Issue.2 , pp. 461-464
    • Schwarz, G.E.1
  • 92
    • 77955896676 scopus 로고    scopus 로고
    • A flexible regression model for count data
    • Sellers, K. F., and G. Shmueli. 2010. –A Flexible Regression Model for Count Data.— Annals of Applied Statistics 4 (no. 2): 943-961.
    • (2010) Annals of Applied Statistics , vol.4 , Issue.2 , pp. 943-961
    • Sellers, K.F.1    Shmueli, G.2
  • 97
    • 0001227575 scopus 로고
    • Additive regression and other nonparametric models
    • Stone, C. S. 1985. –Additive Regression and Other Nonparametric Models.— Annals of Statistics 13 (no. 2): 689-705.
    • (1985) Annals of Statistics , vol.13 , Issue.2 , pp. 689-705
    • Stone, C.S.1
  • 101
    • 33847382959 scopus 로고    scopus 로고
    • Relaxing the rule of ten events per variable in logistic and cox regression
    • Vittinghoff, E., and C. E. McCulloch. 2006. –Relaxing the Rule of Ten Events per Variable in Logistic and Cox Regression.— American Journal of Epidemiology 165 (no. 6): 710-718.
    • (2006) American Journal of Epidemiology , vol.165 , Issue.6 , pp. 710-718
    • Vittinghoff, E.1    McCulloch, C.E.2
  • 102
    • 0000646447 scopus 로고
    • Likelihood ratio tests for model selection and non-nested hypotheses
    • Vuong, Q. H. 1989. –Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses.— Econometrica 57: 307-333.
    • (1989) Econometrica , vol.57 , pp. 307-333
    • Vuong, Q.H.1
  • 103
    • 84953717070 scopus 로고    scopus 로고
    • Sequential and drop one term likelihood-ratio tests
    • Wang, Z. 2000. –Sequential and Drop One Term Likelihood-Ratio Tests.— Stata Technical Bulletin 54: sg133.
    • (2000) Stata Technical Bulletin , vol.54
    • Wang, Z.1
  • 104
    • 0016335739 scopus 로고
    • Quasi-likelihood functions, generalized linear models and the gauss-newton method
    • Wedderburn, R. W. M. 1974. –Quasi-likelihood Functions, Generalized Linear Models and the Gauss-Newton Method.— Biometrika 61: 439-447.
    • (1974) Biometrika , vol.61 , pp. 439-447
    • Wedderburn, R.1
  • 106
    • 0000095552 scopus 로고
    • A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
    • White, H. 1980. –A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.— Econometrica 48 (no. 4): 817-838.
    • (1980) Econometrica , vol.48 , Issue.4 , pp. 817-838
    • White, H.1
  • 108
    • 0020973982 scopus 로고
    • The univariate generalized waring distribution in relation to accident theory: Proneness, spells or contagion?
    • Xekalaki, E. 1983. –The Univariate Generalized Waring Distribution in Relation to Accident Theory: Proneness, Spells or Contagion?— Biometrics 39 (no. 3): 39-47.
    • (1983) Biometrics , vol.39 , Issue.3 , pp. 39-47
    • Xekalaki, E.1
  • 109
    • 84863605732 scopus 로고    scopus 로고
    • Modeling time series of counts with com-poisson ingarch models
    • Zhu, F. 2012. –Modeling Time Series of Counts with COM-Poisson INGARCH Models.— Mathematical and Computer Modelling 56 (no. 9): 191-203.
    • (2012) Mathematical and Computer Modelling , vol.56 , Issue.9 , pp. 191-203
    • Zhu, F.1


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