Modeling bimodal discrete data using Conway-Maxwell-Poisson mixture models
Year of publication: |
2015
|
---|---|
Authors: | Sur, Pragya ; Shmueli, Galit ; Bose, Smarajit ; Dubey, Paromita |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 33.2015, 3, p. 352-365
|
Subject: | Censored data | Count data | EM algorithm | Likert scale | Surveys | Schätztheorie | Estimation theory | Algorithmus | Algorithm | Generalisiertes lineares Modell | Generalized linear model |
-
Empirical hierarchical modelling for count data using the spatial random effects model
Sengupta, Aritra, (2013)
-
Modelling healthcare demand count data with excessive zeros and overdispersion
Park, Myung Hyun, (2021)
-
Miori, Virginia M., (2009)
- More ...
-
Prediction‐Oriented Model Selection in Partial Least Squares Path Modeling
Sharma, Pratyush Nidhi, (2018)
-
Machine learning for business analytics : concepts, techniques, and applications in R
Shmueli, Galit, (2023)
-
Jank, Wolfgang, (2010)
- More ...