Generalized linear models

McCullagh, Peter

doi:10.1016/0377-2217(84)90282-0

Cited by 364 publications

(227 citation statements)

References 14 publications

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“…Soil moisture variation was assessed under a statistical modeling approach taking into account the distribution of moisture data as a function of the seasons. In autumn, moisture followed a normal distribution, allowing the use of a Generalized Linear Model (GLM) in Gaussian distribution [63,64]. The model was validated by observing the distribution of residuals.…”

Section: Discussionmentioning

confidence: 99%

Substrate Composition and Depth Affect Soil Moisture Behavior and Plant-Soil Relationship on Mediterranean Extensive Green Roofs

Chenot

Gaget

Moinardeau

et al. 2017

Water

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Abstract:The Mediterranean basin is extremely vulnerable to climate change, and one of the areas most impacted by human water demand. Yet the green roofs increasingly created both for aesthetic reasons and to limit pollution and urban runoff are themselves very water-demanding. Successful green roof installation depends on the establishment of the vegetation, and the substrate is the key element: it conserves water, and provides the nutrients and physical support indispensable for plant growth. Since typical Mediterranean plant communities require no maintenance, this study seeks to develop techniques for creating maintenance-and watering-free horizontal green roofs for public or private buildings in a Mediterranean context. The innovative aspect of this study lies in creating two soil mixes, fine elements (clay and silt) and coarse elements (pebbles of all sizes), in two different thicknesses, to assess vegetation development. Monitoring of substrate moisture was carried out and coupled with local rainfall measurements during summer and autumn. As expected, substrate moisture is mainly influenced by substrate depth (the deeper, the moister) and composition (the finer the particles (clays and silts), the higher the moisture content). Vegetation cover impacts moisture to a lesser extent but is itself affected by the composition and depth of the substrates. These results are subsequently discussed with relation to the issue of sustainable green roofs in Mediterranean climates. Considering applications of our results, for an optimal colonization of a Mediterranean vegetation, a substrate thickness of 15 cm composed mainly of fine elements (75% clay-silt and 25% pebble-sand) would be recommended in green roofs.

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Section: Discussionmentioning

confidence: 99%

Substrate Composition and Depth Affect Soil Moisture Behavior and Plant-Soil Relationship on Mediterranean Extensive Green Roofs

Chenot

Gaget

Moinardeau

et al. 2017

Water

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“…For each GLM analysis, the relationship of the dependent variable with the explanatory variables (link function) was assumed to be identical, with a normal variable error distribution. Model goodness-of-fit was measured by the deviance statistic and the change in deviance F-ratio tested (McCullagh 1984;McCullagh and Nelder 1989;Dobson 1999) with a 5% significance level. The percentage of deviance explained was also calculated for each model (see Dobson 1999), in order to estimate the percentage of explained variation.…”

Section: Effect Of Environmental Variables On Tick's Activitymentioning

confidence: 99%

“…General linear models (GLM) (McCullagh 1984;Crawley 1993) were used to test the possible significant relationship between the dependent variable (tick's activity) and the environmental and ground temperature and humidity. Therefore, GLM were used to analyze the relationship of each independent variable with the dependent variable and explanatory models for each group of independent variables were obtained in order to check the maximum contribution of each of them to the dependent variable.…”

Section: Effect Of Environmental Variables On Tick's Activitymentioning

confidence: 99%

Influence of environmental temperature and humidity on questing ticks in central Spain

Requena-García

Olmeda-García

González³

et al. 2017

Exp Appl Acarol

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Ticks are important ectoparasites and vectors of the pathogens that cause disease in humans and animals. At a natural reserve in Ciudad Real (Spain), an uncontrollable infestation of wild animals with Hyalomma lusitanicum (Koch) has been reported by some game reserve owners. Many questions about distribution, abundance, and phenology of this tick in this area remain unanswered. The aim of this study was to determine if temperature and relative humidity affect the questing tick's activity in four species of ticks in a meso-Mediterranean area, especially that of H. lusitanicum. Data for tick populations in six selected sampling sites every month, between January 2007 and December 2013 were used. Temperature and humidity values (ground and environmental) were recorded. The sampling effort, the similarity between sites, and the phenology of the species were analyzed. Effects of environmental variables on tick's activity were assessed by general linear models (GLM) whereas the comparative importance of variables was measured by hierarchical variance partitioning. Hyalomma lusitanicum represented 96.3% of the four species of ticks collected. Spring and summer months presented a higher activity of ticks, than autumn and winter months. In general, humidity variables were negatively related to the activity of ticks, whereas temperature variables were positively related. Our results suggest that the highest activity in the area is produced by biological characteristics of H. lusitanicum; being temperature and humidity the most important environmental factors influencing the abundance of this species in the region.

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“…Differently, Hypothesis 2 is tested through a multiple Ordinary Least Squares (OLS) regression as the response variable (TOBIN_Q) is continuous (McCullagh & Nelder, 1989;Agresti, 2013). The baseline regression model for this hypothesis is the following:…”

Section: Variablesmentioning

confidence: 99%

Examining the Relationship between Disproportional Ownership Mechanisms and Company Performance: An Empirical Research

Saggese

2016

IBR

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The paper explores the relation between the use of disproportional ownership mechanisms and firm performance in listed companies. Literature suggests that such tools deviate from the proportionality principle between cash-flow rights and control rights and negatively affect firm outcomes. Differently, some studies emphasize that disproportional ownership mechanisms have a positive effect on company performance as controlling shareholders can be motivated to maximize corporate outcomes, providing outperforming benefits than the potential minority expropriation risk. Moreover, it is still an open issue whether firm performance can be interpreted as determinant of disproportional ownership mechanisms. Therefore, it is an empirical question whether company performance can be considered as an implication and/or a driver of disproportional ownership devices. Moving from these premises, the article relies on a unique hand-collected dataset and examines a sample of Italian listed companies through regression analyses. Findings show that the use of disproportional ownership devices is affected by past company performance and highlight that these ownership tools worsen firm outcomes. The research has both theoretical implications for future studies and practical implications for policy makers.

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Generalized linear models

Cited by 364 publications

References 14 publications

Substrate Composition and Depth Affect Soil Moisture Behavior and Plant-Soil Relationship on Mediterranean Extensive Green Roofs

Substrate Composition and Depth Affect Soil Moisture Behavior and Plant-Soil Relationship on Mediterranean Extensive Green Roofs

Influence of environmental temperature and humidity on questing ticks in central Spain

Examining the Relationship between Disproportional Ownership Mechanisms and Company Performance: An Empirical Research

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