Generalized poisson models arising from Markov processes
, 1998 We develop a family of distributions which allow for over-and underdispersion relative to the Poisson. This latter feature is particularly appealing since many existing methods only allow for overdispersion.
Ryan, LM, Bosch, RJ
core
Multiple Contrast Tests for Count Data: Small Sample Approximations and Their Limitations. [PDF]
Biom JPigorsch M, Hothorn LA, Konietschke F.
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Community Disassembly in a Fragmented Tropical Landscape Driven by Both Deterministic and Stochastic Processes. [PDF]
Ecol EvolAzhar I +6 more
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, 2004 Ensemble prediction systems typically show positive spread-error correlation, but they are subject to forecast bias and underdispersion, and therefore uncalibrated.
Tilmann Gneiting +3 more
core
A Perspective on the Use of Poisson Versus Logistic Regression in Exposure-Response Analysis: Insights and Considerations. [PDF]
CPT Pharmacometrics Syst PharmacolCheng Y, Chen P, Li Y.
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Variance-factorized loglinear models for overdispersed and underdispersed counts
Statistical ModellingA technique is proposed for a more structured approach to modelling over- and under-dispersed counts: variance factorized loglinear (VFL) models are a parameterization of an (enlarged) distribution whereby the overdispersed variance is expressed as a product of the nominal variance and a remainder term involving a highly ...
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Macroepidemiologic assessment of swine disease co-occurrences in the United States of America. [PDF]
Porcine Health ManagCezar GA +8 more
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Alternative methods for analyzing cross-sectional studies of common outcomes: A guide for healthcare professionals. [PDF]
J Taibah Univ Med SciAljawadi MH.
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Fast Bayesian Inference for Spatial Mean-Parameterized Conway-Maxwell-Poisson Models. [PDF]
J Comput Graph StatKang B, Hughes J, Haran M.
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