Poisson Regression
Detecting overdispersion in count data: a zero inflated Poisson regression analysis
... the Poisson regression model has been known as a benchmark model for regression ...used Poisson regression analysis, this study comprising the used of zero-inflated Poisson (ZIP) ...
9
Independent Candidates in a Parliamentary Election in India: A Poisson Regression Model
... a Poisson regression framework that can take care of the count data properties of a series ...well. Poisson regression models have a number of attractive features for econometric applications ...
27
Analysing count data of butterflies communities in Jasin, Melaka: a Poisson regression analysis
... using Poisson Regression, NB, ZIP model, zero hurdles Poisson (ZHP), ZINB and zero hurdles negative binomial (ZHNB) in the prediction of the number involve ...binomial regression model fits ...
8
Adaptive Lasso and group-Lasso for functional Poisson regression
... We proposed new adaptive Lasso and group-Lasso procedures to estimate the regression function in high dimensional Poisson regression, with a special focus on the calibration of weights involved in ...
46
Poisson Regression Analysis on Economic Determinants of Commercial Banks Branches Expansion in Nigeria
... using Poisson regression with Kenya as the source country revealed that the follow-the-client hypothesis is relatively muted in the East African banking ...
8
Risk of maternal mortality using relative risk ratios obtained from poisson regression analysis
... the Poisson regression analysis was carried out for maternal mortality against number of delivery, using MATLAB ...for regression sum of squares, error sum of squares and total sum of squares ...
5
Count data analysis using poisson regression and handling of overdispersion
... in Poisson distribution and thus need to be taken care ...of Poisson regression and negative binomial regression in analyzing data that has no overdispersion as well as data that has ...
28
A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries
... Regarding the weekly regressors, the entire period from January 2008 to March 2009 is examined simultaneously because the normalization and scaling methods are the same for the search volume variables. For the rank ...
24
Comparison Poisson Regression And Spatial Autoregressive (SAR) Poisson (Case Study : In Preventing The Malnutrition(Factors In Java Island) Ayu Sofia*, Budi Susetyo, Muhammad Nur Aidi
... of Poisson. Where the Poisson distribution can be said as a very rare occurrence ...(SAR) Poisson method is used in this ...using Poisson Regression and Spatial Autoregressive (SAR) ...
6
Efficient Bayesian inference for COM-Poisson regression models
... COM-Poisson regression coefficients (in a maximum likelihood setting) only when the dispersion parameter ν is independent of the ...COM-Poisson regression model (3), along with its orig- inal ...
15
Abstract The Poisson Regression and Negative Binomial
... The Poisson Regression and Negative Binomial Regression models are the conventional statistical models for count ...with Poisson Regression and Negative Binomial Regression ...
6
Fitting a Poisson Regression Model to Reported Deaths from HIV/AIDS in Nigeria
... use Poisson regression model to study the linear trend of annual deaths resulting from HIV/AIDS in Nigeria for the period of 1996 to ...the Poisson regression revealed an increase in rate of ...
5
A poisson regression approach for modelling spatial autocorrelation between geographically referenced observations
... on Poisson regression with three of the most common autocorrelation structures: Poisson regression with agglomeration-specific nonspatial random effects; Pois- son regression with ...
11
A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries
... instantaneous access to worldwide Internet activity. This boon also has some problems with the main one being a lack of transparency in regards to the raw data. Google is transparent in the fact that it only provides ...
37
Robustness of maximum likelihood estimates for mixed Poisson regression models
... Gustafson (1996) used an influence function approach (Hampel et al., 1986) (Huber, 1981) to examine the robustness of maximum likelihood estimates for certain conjugate mixture models un[r] ...
23
Retrospective sampling in MCMC with an application to COM-Poisson regression
... The fact that Z(µ, ν ), and thus the probability mass function P(Y = y|µ, ν), is very expensive to compute, has been a key limiting factor for the use of the COM-Poisson distribution. In particular, in a Bayesian ...
27
A Poisson Regression Examination of the Relationship between Website Traffic and Search Engine Queries
... Bivariate Poisson QMLE Results The benefit of using daily data organized quarter-by-quarter is that one can observe the peak quarter of website traffic to the CACVB website with respect to keyword ...five ...
25
Download Download PDF
... Literature shows that several studies compared numerous count data models using different datasets. There is evidence that count data models are evolutional in that previous research worked towards developing models that ...
13
Modelling Incidents of Building Collapse Data in Nigeria, Using Poisson and Negative Binomial Regression Models
... of Poisson and negative binomial regression models to identify the major factors that contributes to building collapse in Nigeria and toascertain the better model suitable for prediction of building ...
8
Increasing incidence of hemorrhagic fever with renal syndrome could be associated with livestock husbandry in Changchun, Northeastern China
... time-series Poisson regression ana- lysis was used to account for the complex associations between HFRS incidence and influencing factors during a long period of ...
9