Results 21 to 30 of about 23,934,423 (243)

Skewed Probit Regression

open access: yesRevstat Statistical Journal, 2021
Skewed probit regression is but one example of a statistical model that generalizes a simpler model, like probit regression. All skew-symmetric distributions and link functions arise from symmetric distributions by incorporating a skewness parameter ...
Janet van Niekerk , Håvard Rue
doaj   +1 more source

ESTIMASI PARAMETER MODEL PROBIT PADA DATA PANEL MENGGUNAKAN OPTIMASI BFGS

open access: yesBarekeng, 2020
One model that may explain the pattern of the relationship between the categorical dependent variable and the independent variables is probit regression. In the probit regression, the independent variable can be categorical or continuous.
Halistin Halistin   +3 more
doaj   +1 more source

Investigating crash-related injuries between animal-related and motor vehicle in Rural China: Bayesian random parameter probit model considering endogenous variables

open access: yesCogent Engineering, 2023
This study intended to investigate the injury severity of animal-vehicle crashes (AVCs) and identify the contributing factors from the perspective of animals.
Quan Yuan   +5 more
doaj   +1 more source

An Analysis on the Determining Factors of Farmers’ Land-Scale Management: Empirical Analysis Based on the Micro-Perspective of Farmers in China

open access: yesLand, 2022
In the context of continuous improvement in China’s land system, the development of the rural economy is insufficient, and the growth of farmers’ income lacks sustainable momentum.
Xiang Li, Hyukku Lee
doaj   +1 more source

GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model [PDF]

open access: yesStatistics and computing, 2016
Gibbs sampling is a widely used Markov chain Monte Carlo (MCMC) method for numerically approximating integrals of interest in Bayesian statistics and other mathematical sciences.
Alexander Terenin   +2 more
semanticscholar   +1 more source

Objective Bayes model selection in probit models [PDF]

open access: yesStatistics in Medicine, 2011
We describe a new variable selection procedure for categorical responses where the candidate models are all probit regression models. The procedure uses objective intrinsic priors for the model parameters, which do not depend on tuning parameters, and ranks the models for the different subsets of covariates according to their model posterior ...
Luis, Leon-Novelo   +2 more
openaire   +2 more sources

La inclusión financiera en Sincelejo (Colombia). Un modelo econométrico probit

open access: yesEcos de Economía, 2018
En este trabajo se examina la relación entre la inclusión financiera y la pobreza monetaria de los hogares del municipio de Sincelejo, departamento de Sucre (Colombia), y se confirma la correlación entre las dos variables a través de un modelo ...
Alfredo Rafael Anaya Narváez   +1 more
doaj   +1 more source

Factors Affecting Adaptation to Climate Change through Agroforestry in Kenya

open access: yesLand, 2021
The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems.
Kevin Pello   +3 more
doaj   +1 more source

MNP: R Package for Fitting the Multinomial Probit Model

open access: yesJournal of Statistical Software, 2005
MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the
David A. Van Dyk, Kosuke Imai
doaj   +3 more sources

PERBANDINGAN ESTIMASI MODEL RESPON KUALITATIF MENGGUNAKAN METODE OLS, GMM DAN MAXIMUM LIKELIHOOD: PADA KASUS PROBABILITAS KEPEMILIKAN MOBIL RUMAH TANGGA DI KELURAHAN PAHLAWAN KOTA PALEMBANG

open access: yesJurnal Ekonomi Pembangunan, 2013
This study aim to comparing accuracy in the analysis of qualitative response data especially to analyze the probability of car ownership households by using LPM models , GMM,  Probit and Logit Models.
Syamsurijal AK, imam Asngari
doaj   +1 more source

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