Results 1 to 10 of about 122,644 (307)
The Evaluation of Municipal Tourist Tax Awareness: The Case of the City of Porto [PDF]
Purpose – Evaluation of the municipal tourist tax awareness by tourists visiting the city of Porto, in order to test their knowledge and assessment about it and estimate the consequences on the city’s level of competitiveness, as a tourism destination ...
Ana Pinto Borges +2 more
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Statistical estimates for the exploitable stock of giant grenadier are determined, by fishing zones in the Russian Far East, and interannual dynamics of the species biomass is considered using historical data on catches and abundance.
V. V. Kulik +2 more
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Model Generalized AMMI (GAMMI) merupakan perluasan dari model AMMI (Additive Main Effect and Multiplicative Interaction). Model GAMMI melibatkan konsep Generalized Linear Model (GLM) pada variabel responnya.
Kurnia Ahadiyah, Ardiana Fatma Dewi
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ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models
This paper describes the gretl function package ParMA, which provides Bayesian model averaging (BMA) in generalized linear models. In order to overcome the lack of analytical specification for many of the models covered, the package features an ...
Riccardo (Jack) Lucchetti, Luca Pedini
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One of the crucial things in the insurance business is determining the amount of IBNR claim reserves. The amount of IBNR's claim reserves is uncertain so it is necessary to estimate as accurately as possible.
Feby Seru +2 more
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Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? [PDF]
Background Community assembly by trait selection (CATS) allows for the detection of environmental filtering and estimation of the relative role of local and regional (meta-community-level) effects on community composition from trait and abundance data ...
Zoltán Botta-Dukát
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Bayesian credibility for GLMs [PDF]
We revisit the classical credibility results of Jewell and Bühlmann to obtain credibility premiums for a GLM using a modern Bayesian approach. Here the prior distributions can be chosen without restrictions to be conjugate to the response distribution. It can even come from out-of-sample information if the actuary prefers.
Garrido, José +1 more
openaire +3 more sources
The choice of bait is one of the fisheries tactics used to increase selectivity for particular target species. The performance of three bait types (mackerel, sardine, squid) was evaluated with a commercial vessel operating in the Equatorial Atlantic ...
Tiago Hilário Pedrosa CAMPELLO +5 more
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INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA
Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
M. Fathurahman
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RISK FACTORS SELECTION WITH DATA MINING METHODS FOR INSURANCE PREMIUM RATEMAKING [PDF]
Insurance companies that have adopted the application of data mining methods in their business have become more competitive in the insurance market. Data mining methods provides the insurance industry with numerous advantages: shorter data processing ...
Amela Omerašević, Jasmina Selimović
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