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	Provedor de dados AgEcon (10) ArchiMer (3) Rev. Bras. Zool. (1) Infoteca-e (1) Colegio de Postgraduados (1) Anais da ABC (AABC) (1) Ciência e Agrotecnologia (1) Ecología austral (1) Mais... Autor Carroll, Raymond J. (5) Hardin, James W. (5) Schmiediche, Henrik (3) Marchal, Paul (2) Andersen, Bo (1) Bergtold, Jason S. (1) Bez, Nicolas (1) CONTE,CARLOS EDUARDO (1) CRIVELLARI,LUCAS B. (1) Caillart, B. (1) Colorado Martínez, Luis (1) Cormon, Xochitl (1) Cox, Nicholas J. (1) Eigaard, Ole (1) Fromentin, Jean-marc (1) GONÇALVES,DARLENE S. (1) Guyader, Olivier (1) Hovgaard, Holger (1) Iriondo, Ane (1) Le Fur, Fanny (1) Mais... Palavra-chave Generalized linear models (19) Research Methods/ Statistical Methods (10) Measurement error (5) Instrumental variables (4) Logistic regression (2) Replicate measures (2) ANOVA (1) Agrupamento hierárquico (1) Analysis of variance (1) Anovaplot (1) Análise de variância (1) Aproximación normal (1) Bernoulli Regression Model (1) Biotic interactions (1) Book review (1) Bootstrap (1) Catch rate (1) Competition (1) Complex surveys (1) Conservation (1) Mais... Tipo do documento Journal Article (9) Info:eu-repo/semantics/article (3) Text (3) Conference Paper or Presentation (1) Folhetos (1) Info:eu-repo/semantics/other (1) Tesis (1) Mais... Ano 2019 (1) 2018 (1) 2017 (1) 2016 (1) 2015 (1) 2014 (1) 2010 (1) 2008 (1) 2007 (1) 2005 (2) 2004 (1) 2003 (6) 2001 (1) Mais... País United States (10) Brazil (4) France (3) Argentina (1) Mexico (1) Idioma Inglês (17) Espanhol (1) Português (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 19 Primeira ... 1 ... Última Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables AgEcon 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 Education level and income are important for good environmental awareness: a case study from south Brazil Ecología austral 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 Eucalyptus cloeziana seed count data: a comparative analysis of statistical models Ciência e Agrotecnologia 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 (<0.84 mm), medium (from 1.18 to 1.00 mm), and large (>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 Habitats of ten demersal species in the Gulf of Lions and potential implications for spatial management ArchiMer 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 Impact of technological creep on fishing effort and fishing mortality, for a selection of European fleets ArchiMer 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 Instrumental variables, bootstrapping, and generalized linear models AgEcon 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 Linking environmental drivers with amphibian species diversity in ponds from subtropical grasslands Anais da ABC (AABC) 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 Measurement error, GLMs, and notational conventions AgEcon 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 Metodologia para a comparação de diferentes métodos de descrição de agrupamentos hierárquicos de documentos independentes do algoritmo de agrupamento. Infoteca-e MOURA, M. F.; SANTOS, F. F. dos; MARCACINI, R. M.; REZENDE, S. O.. Para facilitar a compreensão de uma coleção de documentos, pode-se organizá-la em grupos hierárquicos e obter descritores para cada um dos grupos automaticamente. O problema que se apresenta é decidir entre métodos de agrupamentos e de descrição dos grupos, que sejam eficientes e apresentem bons resultados. Particularmente, este trabalho apresenta uma proposta para a comparação entre resultados obtidos a partir de métodos de seleção de descritores em agrupamentos hierárquicos de documentos, especificamente para métodos independentes do algoritmo de agrupamento utilizado. Para esses métodos, dado um agrupamento hierárquico, o objetivo é selecionar descritores (palavras ou sentenças) discriminativos dos grupos, preferencialmente sem repetição de descritores... Tipo: Folhetos Palavras-chave: Descritores de agrupamento; Agrupamento hierárquico; Mineração de texto; Modelos lineares generalizado; Análise de variância; Recuperação de informação; Generalized linear models; Mutual information mean; Multiple mean comparisons; Hierarchical document clusters descriptors. Ano: 2010 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/885560 Modelos lineales generalizados con restricciones lineales en los parámetros de regresión Colegio de Postgraduados 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 No mullet, no gain: cooperation between dolphins and cast net fishermen in southern Brazil Rev. Bras. Zool. 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 Review of Generalized Estimating Equations by Hardin and Hilbe AgEcon 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 Review of Generalized Linear Models and Extensions by Hardin and Hilbe AgEcon 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 Review of Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff, Glidden, Shiboski, and McCulloch AgEcon 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 Spatial interactions between saithe (Pollachius virens) and hake (Merluccius merluccius) in the North Sea ArchiMer 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 Speaking Stata: Graphing model diagnostics AgEcon 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 The regression-calibration method for fitting generalized linear models with additive measurement error AgEcon 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 The simulation extrapolation method for fitting generalized linear models with additive measurement error AgEcon 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 Variance estimation for the instrumental variables approach to measurement error in generalized linear models AgEcon 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 Registros recuperados: 19 Primeira ... 1 ... Última

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