The HPCOUNTREG Procedure
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Overview
- Getting Started
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Syntax
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DetailsMissing ValuesPoisson RegressionConway-Maxwell-Poisson RegressionNegative Binomial RegressionZero-Inflated Count Regression OverviewZero-Inflated Poisson RegressionZero-Inflated Conway-Maxwell-Poisson RegressionZero-Inflated Negative Binomial RegressionParameter Naming Conventions for the RESTRICT, TEST, BOUNDS, and INIT StatementsComputational ResourcesCovariance Matrix TypesDisplayed OutputOUTPUT OUT= Data SetOUTEST= Data SetODS Table Names
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Examples
- References
References
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Cameron, A. C., and Trivedi, P. K. (1986). “Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests.” Journal of Applied Econometrics 1:29–53.
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Cameron, A. C., and Trivedi, P. K. (1998). Regression Analysis of Count Data. Cambridge: Cambridge University Press.
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Conway, R. W., and Maxwell, W. L. (1962). “A Queuing Model with State Dependent Service Rates.” Journal of Industrial Engineering 12:132–136.
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Guikema, S. D., and Coffelt, J. P. (2008). “A Flexible Count Data Regression Model for Risk Analysis.” Risk Analysis 28:213–223.
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Lambert, D. (1992). “Zero-Inflated Poisson Regression with an Application to Defects in Manufacturing.” Technometrics 34:1–14.
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LaMotte, L. R. (1994). “A Note on the Role of Independence in t Statistics Constructed from Linear Statistics in Regression Models.” American Statistician 48:238–240.
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Long, J. S. (1997). Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage Publications.
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Lord, D., Guikema, S. D., and Geedipally, S. R. (2008). “Application of the Conway-Maxwell-Poisson Generalized Linear Model for Analyzing Motor Vehicle Crashes.” Accident Analysis and Prevention 40:1123–1134.
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Shmueli, G., Minka, T. P., Kadane, J. B., Borle, S., and Boatwright, P. (2005). “A Useful Distribution for Fitting Discrete Data: Revival of the Conway-Maxwell-Poisson Distribution.” Journal of the Royal Statistical Society, Series C 54:127–142.