Score tests for zero inflation in generalized linear models
By D. Deng, S. Paul. 2000
53 citations recorded by the source corpus.
Subfields: Finance, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ed7b91be13e4bae0032bd34f3e27853fea744bb2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
In Management Science and Operations Research
- Gordon K. Smyth
- Bradley Efron
- Yunshun Chen
- Davis J. McCarthy
- Wolfgang Huber
- Matthew Stephens
- Simon Anders
- Mark D. Robinson
In Statistics and Probability
- Gordon K. Smyth
- Kazem Mohammad
- Abbas Moghimbeigi
- Mohammed Reza Eshraghian
- Brian McArdle
- Mark D. Robinson
- Simon N. Wood
- Yunshun Chen
Citations in the corpus
- Pearson's goodness of fit statistic as a score test statistic (2003, background): “For this reason score tests have been proposed frequently in generalized linear model contexts to test for various sorts of model complications such as overdispersion [3, 5, 7, 13, 19, 24], zero inflation [8], adequacy of the link function [9, 20], or extra terms in the fitted model [1, 2,4, 19, 21,”
- Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros (2008, background): “In the literature, some tests for testing ZIP in independent 4 8 19 and correlated data 23 have been developed.”
- SCORE TESTS FOR ZERO-INFLATION AND OVER-DISPERSION IN GENERALIZED LINEAR MODELS (2005, background): “Deng and Paul (2000) develop score tests to detect zero-inflation in a generalized linear model and obtain Broek’s results as special cases.”