Consulta: subjectFacets:"Generalized linear models"
Registros recuperados: 18
Data/hora: 03/06/2024 18:35:41

Modelos lineales generalizados con restricciones lineales en los parámetros de regresión
Provedor de dados: Depósito Institucional Abierto de Documentos Digitales del Colegio de Postgraduados (COLPOS DIGITAL )
Autores: Colorado Martínez, Luis.
Para analizar Modelos Lineales Generalizados (MLG) con parámetro de escala conocido, en el que el vector de coeﬁcientes de regresión se encuentra sujeto a restricciones lineales de desigualdad, en este trabajo se propone un método Bayesiano, denominado Gibbs Transfor- mado con Muestreo de Impor tancia (GTMI). Primero se implementa una cadena de Markov de Monte Carlo (MCMC) a una aproximación normal (truncada) de la distribución ﬁnal del vector de coeﬁcientes de regresión y luego se utiliza el método de importancia de muestreo, sugerido por Fosdick (1963) y Hastings (1970) para realizar inferencias en los parámetros de regresión.  Para muestrear la aproximación normal truncada se propone utilizar el muestreo Gibbs eﬁciente propuesto por Rodríguez-Yam...
Tipo: Tesis
Palavras-chave: Modelos lineales generalizados; Restricciones lineales de desigualdad; Distribución normal multivariada truncada; Muestreo Gibbs; Aproximación normal; Muestreo de importancia; Maestría; Estadística; Generalized linear models; Inequality linear constraints; Truncated multivariate normal distribution; Gibbs sampler; Importance sampling.
Ano: 2008
URL: http://hdl.handle.net/10521/1381

Education level and income are important for good environmental awareness: a case study from south Brazil
Provedor de dados: Ecología Austral
Autores: Strieder Philippssen,Juliana; Soares Angeoletto,Fábio H; Santana,Rosangela G.
The relationship between people and the environment is critical for the development of projects and actions towards the sustainable use of nature resources. This study investigated the relationship between a number of socio-demographic variables and environmental awareness in two cities of southern Brazil (Maringá and Sarandí). We found that levels of education and income were positively associated with environmental awareness. Individuals with higher level of education were 3.2 times more likely to have good environmental awareness than individuals with a lower level. Our results contribute to understand social-ecological interactions of urban citizens from this region and to develop management actions to involve urban residents into environmental...
Tipo: Info:eu-repo/semantics/other
Palavras-chave: Generalized linear models; Human ecology; Multinomial regression; Socio-demographic; Urban ecology.
Ano: 2017
URL: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S1667-782X2017000100005

Impact of technological creep on fishing effort and fishing mortality, for a selection of European fleets
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Marchal, Paul; Andersen, Bo; Caillart, B.; Eigaard, Ole; Guyader, Olivier; Hovgaard, Holger; Iriondo, Ane; Le Fur, Fanny; Sacchi, Jacques; Santurtun, Marina.
Face-to-face interviews were conducted to identify the main changes in gear and vessel technology that may have improved the fishing efficiency of a number of French, Danish, and Basque fleets over the past few decades. Important changes include the gradual appearance of twin trawls (Danish and French trawlers) and trammel-nets (French gillnetters), and the increased polyvalence of Basque bottom trawlers. The results suggest that fishing effort descriptors that are not traditionally measured (gear type, groundrope type, length of net used per day, headline length, crew size, number of winch or net drums) may have a substantial impact on catch rates. Adjusting fishing effort using such descriptors may generally improve the relationship between fishing...
Tipo: Text
Palavras-chave: Twin trawls; Technological creep; Groundrope; Generalized linear models; Fishing mortality; Fishing effort; Catch rate.
Ano: 2007
URL: http://archimer.ifremer.fr/doc/2007/publication-2611.pdf

Spatial interactions between saithe (Pollachius virens) and hake (Merluccius merluccius) in the North Sea
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Cormon, Xochitl; Loots, Christophe; Vaz, Sandrine; Vermard, Youen; Marchal, Paul.
Spatial interactions between saithe (Pollachius virens) and hake (Merluccius merluccius) were investigated in the North Sea. Saithe is a well-established species in the North Sea, while occurrence of the less common hake has recently increased in the area. Spatial dynamics of these two species and their potential spatial interactions were explored using binomial generalized linear models (GLM) applied to the International Bottom Trawl Survey (IBTS) data from 1991 to 2012. Models included different types of variables: (i) abiotic variables including sediment types, temperature, and bathymetry; (ii) biotic variables including potential competitors and potential preys presence; and (iii) spatial variables. The models were reduced and used to predict and map...
Tipo: Text
Palavras-chave: Biotic interactions; Competition; Generalized linear models; Hake; North Sea; Overlap; Predator-prey relationship; Saithe; Species distribution modelling.
Ano: 2014
URL: http://archimer.ifremer.fr/doc/00200/31146/29847.pdf

Habitats of ten demersal species in the Gulf of Lions and potential implications for spatial management
Provedor de dados: Institutional Archive of Ifreme (ArchiMer)
Autores: Morfin, Marie; Bez, Nicolas; Fromentin, Jean-marc.
An improved knowledge of habitat utilization by demersal species is a pre-requisite for their spatial management. Based on scientific survey data collected over the period 1994-2010, the present study investigates relationships between 4 environmental factors and 10 demersal species in the Gulf of Lions (northwestern Mediterranean Sea). Generalized linear models provided statistically satisfying results in terms of both model explanatory and predictive powers. The 'biological zone' factors, based on the percentage of light penetration to the sea bottom and bottom temperature, were the most important factors, while sediments and benthic macrofauna were only significant for a few species. The type of associations varied among species, resulting in different...
Tipo: Text
Palavras-chave: Fish habitat; Marine living resources; Mediterranean; Generalized linear models; Model selection; Marine Protected Area; MARXAN.
Ano: 2016
URL: http://archimer.ifremer.fr/doc/00334/44502/45846.pdf

Review of Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff, Glidden, Shiboski, and McCulloch
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Lemeshow,   Stanley; Moeschberger,   Melvin L.
This article reviews Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff et al.
Tipo: Journal Article
Palavras-chave: Linear regression; Logistic regression; Survival analysis; Repeated measures; Generalized linear models; Complex surveys; Research Methods/ Statistical Methods.
Ano: 2005
URL: http://purl.umn.edu/117518

Instrumental variables, bootstrapping, and generalized linear models
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Hardin,   James W.; Schmiediche,   Henrik; Carroll,   Raymond J.
This paper discusses and illustrates the qvf command for fitting generalized linear models. The differences between this new command and Stata’s glm command are highlighted. One of the most notable features of the qvf command is its ability to include instrumental variables. This functionality was added specifically to address measurement error but may be utilized by the user for other purposes. The qvf command was developed in the C-language using Stata’s new plugin features and executes much faster than the glm ado-file.
Tipo: Journal Article
Palavras-chave: Measurement error; Instrumental variables; Murphy–Topel; Bootstrap; Generalized linear models; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116178

Variance estimation for the instrumental variables approach to measurement error in generalized linear models
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Hardin,   James W.; Carroll,   Raymond J.
This paper derives and gives explicit formulas for a derived sandwich variance estimate. This variance estimate is appropriate for generalized linear additive measurement error models fitted using instrumental variables. We also generalize the known results for linear regression. As such, this article explains the theoretical justification for the sandwich estimate of variance utilized in the software for measurement error developed under the Small Business Innovation Research Grant (SBIR) by StataCorp. The results admit estimation of variance matrices for measurement error models where there is an instrument for the unknown covariate.
Tipo: Journal Article
Palavras-chave: Sandwich estimate of variance; Measurement error; White's estimator; Robust variance; Generalized linear models; Instrumental variables; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116177

Review of Generalized Linear Models and Extensions by Hardin and Hilbe
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Newson,   Roger.
This article reviews Generalized Linear Models and Extensions by Hardin and Hilbe.
Tipo: Journal Article
Palavras-chave: Generalized linear models; Book review; Research Methods/ Statistical Methods.
Ano: 2001
URL: http://purl.umn.edu/115939

The simulation extrapolation method for fitting generalized linear models with additive measurement error
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Hardin,   James W.; Schmiediche,   Henrik; Carroll,   Raymond J.
We discuss and illustrate the method of simulation extrapolation for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). As in Hardin, Schmiediche, and Carroll (2003), our discussion includes specified measurement error and measurement error estimated by replicate error-prone proxies. In addition, we discuss and illustrate three extrapolant functions.
Tipo: Journal Article
Palavras-chave: Simulation extrapolation; Measurement error; Instrumental variables; Replicate measures; Generalized linear models; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116184

Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Bergtold,   Jason S.; Spanos,   Aris.
The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous inferences. Furthermore, methods for trying to alleviate such problems, such as univariate generalized linear models, have not provided an adequate alternative for ensuring the statistical adequacy of such models. The purpose of this paper is to re-examine the underlying probabilistic foundations of statistical models with binary dependent variables using the probabilistic reduction approach to provide an alternative approach for model specification. This re-examination leads to the development of the Bernoulli...
Tipo: Conference Paper or Presentation
Palavras-chave: Bernoulli Regression Model; Logistic regression; Generalized linear models; Discrete choice; Probabilistic reduction approach; Model specification; Research Methods/ Statistical Methods.
Ano: 2005
URL: http://purl.umn.edu/19282

The regression-calibration method for fitting generalized linear models with additive measurement error
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Hardin,   James W.; Schmiediche,   Henrik; Carroll,   Raymond J.
This paper discusses and illustrates the method of regression calibration. This is a straightforward technique for fitting models with additive measurement error. We present this discussion in terms of generalized linear models (GLMs) following the notation defined in Hardin and Carroll (2003). Discussion will include specified measurement error, measurement error estimated by replicate error-prone proxies, and measurement error estimated by instrumental variables. The discussion focuses on software developed as part of a small business innovation research (SBIR) grant from the National Institutes of Health (NIH).
Tipo: Journal Article
Palavras-chave: Regression calibration; Measurement error; Instrumental variables; Replicate measures; Generalized linear models; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116180

Measurement error, GLMs, and notational conventions
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Hardin,   James W.; Carroll,   Raymond J.
This paper introduces additive measurement error in a generalized linear-model context. We discuss the types of measurement error along with their effects on fitted models. In addition, we present the notational conventions to be used in this and the accompanying papers.
Tipo: Journal Article
Palavras-chave: Generalized linear models; Transportability; Measurement error; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116175

Review of Generalized Estimating Equations by Hardin and Hilbe
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Stillman,   Steven.
This article reviews Generalized Estimating Equations by Hardin and Hilbe.
Tipo: Journal Article
Palavras-chave: Generalized estimating equations; Generalized linear models; Research Methods/ Statistical Methods.
Ano: 2003
URL: http://purl.umn.edu/116078

Speaking Stata: Graphing model diagnostics
Provedor de dados: Research in Agricultural & Applied Economics (AgEcon Searh)
Autores: Cox,   Nicholas J.
Plotting diagnostic information calculated from residuals and fitted values is a long-standard method for assessing models and seeking ways of improving them. This column focuses on the statistical mainstream defined by regression models for continuous responses, treated in a broad sense to include (for example) generalized linear models. After some comments on the history of such ideas (and even their anthropology and psychology), the commands available in official Stata are reviewed, and a modeldiag package is introduced. A detailed example on fuelwood yield from fallow areas in Nigeria illustrates a variety of general points and specific tips.
Tipo: Journal Article
Palavras-chave: Modeldiag; Anovaplot; Indexplot; Ofrtplot; Ovfplot; Qfrplot; Racplot; Rdplot; Regplot; Rhetplot; Rvfplot2; Rvlrplot; Rvpplot2; Graphics; Diagnostics; Regression; Generalized linear models; Analysis of variance; Research Methods/ Statistical Methods.
Ano: 2004
URL: http://purl.umn.edu/116273

No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil
Provedor de dados: Revista Brasileira de Zoologia
Autores: Santos,Mauricio L.; Lemos,Valéria M.; Vieira,João P.
ABSTRACT We report on the interaction between common bottlenose dolphins, Tursiops truncatus (Montagu, 1821) and cast net fishermen in southern coast of Brazil. The fishery was monitored in the mouth of the Tramandaí River Estuary to investigate the seasonality of catches and their relationships with a set of variables: presence/absence and number of bottlenose dolphins, fishing area, temperature, salinity, wind and water flow direction in the channel. The mullet, Mugil liza Valenciennes, 1836 is the target species and was the dominant fish in the catches (77% of total catch; 50% in frequency; 0.2 ind. x f-1). The use of GLM models helped to reveal that the number of the bottlenose dolphins, time of year (months) and spatial variation of fishing activity...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Fishing activity; Generalized linear models; Mugil liza; Seasonality; Tramandaí River Estuary; Tursiops truncatus.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702018000100340

Linking environmental drivers with amphibian species diversity in ponds from subtropical grasslands
Provedor de dados: Anais da Academia Brasileira de Ciências
Autores: GONÇALVES,DARLENE S.; CRIVELLARI,LUCAS B.; CONTE,CARLOS EDUARDO.
ABSTRACTAmphibian distribution patterns are known to be influenced by habitat diversity at breeding sites. Thus, breeding sites variability and how such variability influences anuran diversity is important. Here, we examine which characteristics at breeding sites are most influential on anuran diversity in grasslands associated with Araucaria forest, southern Brazil, especially in places at risk due to anthropic activities. We evaluate the associations between habitat heterogeneity and anuran species diversity in nine body of water from September 2008 to March 2010, in 12 field campaigns in which 16 species of anurans were found. Of the seven habitat descriptors we examined, water depth, pond surface area and distance to the nearest forest fragment...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Conservation; Environmental variables; Generalized linear models; Hierarchical partitioning.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652015000401751

Eucalyptus cloeziana seed count data: a comparative analysis of statistical models
Provedor de dados: Ciência e Agrotecnologia
Autores: Michelon,Thomas Bruno; Taconeli,Cesar Augusto; Vieira,Elisa Serra Negra; Panobianco,Maristela.
ABSTRACT Generalized linear models (GLMs) are an extension of the linear model and include the normal, Poisson, and negative binomial distributions. Although GLMs were introduced in 1972, most seed technology studies, especially those involving count data, such as germination tests of seeds from the genus Eucalyptus, still using the analysis of variance, without analysis of the fit of other models. Thus, this study aimed to evaluate the most appropriate model in the GLM class for seed count data of Eucalyptus cloeziana. Data were obtained from a germination test using seeds from three lots of E. cloeziana. Each lot was separated by sieving into three material fractions based on size: small (&lt;0.84 mm), medium (from 1.18 to 1.00 mm), and large (&gt;1.18...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Generalized linear models; Poisson; ANOVA; Germination test.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542019000100243