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Count Data Modelling and Tourism Demand [PDF]

This thesis consists of four papers concerning modelling of count data and tourism demand. For three of the papers the focus is on the integer-valued autoregressive moving average model class (INARMA), and especially on the INAR(1) model.
Hellström, Jörgen
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The Influence of the East Australian Current on the Regional Distribution of Humpback Whales (Megaptera novaeangliae)

Journal of Marine Science and Engineering
Humpback whales (Megaptera novaeangliae) migrate annually along the east coast of Australia, utilizing various habitats, including open embayments such as the Gold Coast bay (GCB) in southeast Queensland, for resting and social behaviors.
Patrick Woletz, Jan-Olaf Meynecke
doaj   +1 more source

HURDLE COUNT-DATA MODELS IN RECREATION DEMAND ANALYSIS [PDF]

When a sample of recreators is drawn from the general population using a survey, many in the sample will not recreate at a recreation site of interest.
Shaw, W. Douglass, Shonkwiler, John Scott   +1 more
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Subsampling bootstrap of count features of networks

, 2015
Analysis of stochastic models of networks is quite important in light of the huge influx of network data in social, information and bio sciences, but a proper statistical analysis of features of different stochastic models of networks is still underway ...
Bhattacharyya, Sharmodeep, Bickel, Peter J.   +1 more
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THE FAST DECAY PROCESS IN RECREATIONAL DEMAND ACTIVITIES AND THE USE OF ALTERNATIVE COUNT DATA MODELS [PDF]

Since the early 1990s, researchers have routinely used count data models (such as the Poisson and negative binomial) to estimate the demand for recreational activities.
Sarker, Rakhal, Surry, Yves R.
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POISSON MIXED MODELS WITH A BOOSTING APPROACH FOR THE ANALYSIS OF COUNT DATA

Barekeng
Boosting is a powerful technique for enhancing predictive accuracy by iteratively reweighting observations, and is particularly effective in high-dimensional settings and for variable selection.
Ita Wulandari, Khairil Anwar Notodiputro, Bagus Sartono, Anwar Fitrianto, Anang Kurnia   +4 more
doaj   +1 more source

Time Series of Count Data : Modelling and Estimation [PDF]

This paper compares various models for time series of counts which can account for discreetness, overdispersion and serial correlation. Besides observation- and parameter-driven models based upon corresponding conditional Poisson distributions, we also ...
Jung, Robert, Kukuk, Martin, Liesenfeld, Roman   +2 more
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A simple bivariate count data regression model [PDF]

This paper develops a simple bivariate count data regression model in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components. Unlike existing commonly used bivariate models, we obtain
John Elder, Shiferaw Gurmu
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Semiparametric estimation of on-stie count data models [PDF]

This article proposes semiparametric estimation of on-site count data models based on a series expansion approach of Gurmu, Rilstone and Stern (1999, Journal of Econometrics 88, 123-150), which is flexible and adaptable for a form of overdispersion as ...
Katsuhito Nohara, Masaki Narukawa
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Smooth-car mixed models for spatial count data [PDF]

Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Dae-Jin Lee, Maria Durban
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