Score tests for zero inflation in generalized linear models
Canadian Journal of StatisticsPublished 1 September 2000
Dianliang Deng, S. R. Paul
Citations50
SJR quartileQ2
SJR score0.59
SNIP0.91
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Abstract The authors develop score tests of goodness of fit for discrete generalized linear models against zero inflation. The binomial and Poisson models are treated as examples, and in the latter case the proposed test reduces to that of Broek (1995). Some simulation results and an illustrative example are presented.
Keywords
MathematicsDecision SciencesEconomics, Econometrics and Finance
TechnometricsZero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
3,959 Citations1992Diane Lambert
Mathematical Proceedings of the Cambridge Philosophical SocietyLarge sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation
719 Citations1948C. Radhakrishna Rao
Journal of the American Statistical AssociationTesting for Overdispersion in Poisson and Binomial Regression Models
358 Citations1992C. B. Dean
BiometricsA Score Test for Zero Inflation in a Poisson Distribution
306 Citations1995Jan van den Broek
Journal of the American Statistical AssociationTests of Hypotheses in Overdispersed Poisson Regression and other Quasi-Likelihood Models
275 Citations1990Norman E. Breslow
BiometricsLogarithmic Transformations in ANOVA
193 Citations1987Donald A. Berry
The method has advantages similar to those of rank transformations--namely, it is easy to use and is resistant to extreme observations, and is a useful generalization of least squares.
Journal of Applied EconometricsHETEROGENEITY, EXCESS ZEROS, AND THE STRUCTURE OF COUNT DATA MODELS
172 Citations1997John Mullahy
Journal of the American Statistical AssociationResidual Diagnostics for Mixture Models
83 Citations1992Bruce G. Lindsay, Kathryn Roeder
BiometricsThe Use of a Mixture Model in the Analysis of Count Data
55 Citations1988Vernon T. Farewell, D. A. Sprott
A mixture model is presented for the analysis of data on premature ventricular contractions and it is shown to be straightforward and the conclusions relatively simple.
Journal of the American Statistical AssociationAnalysis of Two-Way Layout of Count Data Involving Multiple Counts in Each Cell
28 Citations1998S. R. Paul, Tathagata Banerjee