Results 1 to 10 of about 122,644 (307)

The Evaluation of Municipal Tourist Tax Awareness: The Case of the City of Porto [PDF]

open access: yesTourism and Hospitality Management, 2020
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
doaj   +1 more source

Estimation of the maximum sustainable yield of giant grenadier Albatrossia pectoralis (Macrouridae) in the Russian Far East using Bayesian surplus production model JABBA

open access: yesИзвестия ТИНРО, 2023
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
doaj   +1 more source

Perbandingan Model Generalized Ammi (Gammi) dengan Row Column Interaction Model pada Interaksi Genotipe dan Lingkungan

open access: yesJournal Focus Action of Research Mathematic, 2022
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
doaj   +1 more source

ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models

open access: yesJournal of Statistical Software, 2022
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
doaj   +1 more source

MODEL STOKASTIK DENGAN PENDEKATAN GENERALIZED LINEAR MODEL UNTUK MENGESTIMASI CADANGAN KLAIM INCURRED BUT NOT REPORTED

open access: yesBarekeng, 2021
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
doaj   +1 more source

Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? [PDF]

open access: yesPeerJ, 2022
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
doaj   +2 more sources

Bayesian credibility for GLMs [PDF]

open access: yesInsurance: Mathematics and Economics, 2018
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

Comparative analysis of three bait types in deep-set pelagic longline gear in the Equatorial Atlantic Ocean

open access: yesBoletim do Instituto de Pesca, 2022
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
doaj   +1 more source

INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA

open access: yesBarekeng, 2022
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
doaj   +1 more source

RISK FACTORS SELECTION WITH DATA MINING METHODS FOR INSURANCE PREMIUM RATEMAKING [PDF]

open access: yesZbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2020
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
doaj   +1 more source

Home - About - Disclaimer - Privacy