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Artykuły w czasopismach na temat „Generalised linear modelling (GLM)”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 1 lutego 2022

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1

Nogués-Bravo, D. "Comparing regression methods to predict species richness patterns." Web Ecology 9, no. 1 (December 9, 2009): 58–67. http://dx.doi.org/10.5194/we-9-58-2009.

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Abstract. Multivariable regression models have been used extensively as spatial modelling tools. However, other regression approaches are emerging as more efficient techniques. This paper attempts to present a synthesis of Generalised Regression Models (Generalized Linear Models, GLMs, Generalized Additive Models, GAMs), and a Geographically Weighted Regression, GWR, implemented in a GAM, explaining their statistical formulations and assessing improvements in predictive accuracy compared with linear regressions. The problems associated with these approaches are also discussed. A digital databa
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Vencálek, Ondřej, Karel Hron, and Peter Filzmoser. "A comparison of generalised linear models and compositional models for ordered categorical data." Statistical Modelling 20, no. 3 (January 15, 2019): 249–73. http://dx.doi.org/10.1177/1471082x18816540.

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Ordered categorical data occur in many applied fields, such as geochemistry, econometrics, sociology and demography or even transportation research, for example, in the form of results from various questionnaires. There are different possibilities for modelling proportions of individual categories. Generalised linear models (GLMs) are traditionally used for this purpose, but also methods of compositional data analysis (CoDa) can be considered. Here, both approaches are compared in depth. Particularly, different assumptions of the models on variability are highlighted. Advantages and disadvanta
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Saavedra, Angeles, Javier Taboada, María Araújo, and Eduardo Giráldez. "Generalized Linear Spatial Models to Predict Slate Exploitability." Journal of Applied Mathematics 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/531062.

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The aim of this research was to determine the variables that characterize slate exploitability and to model spatial distribution. A generalized linear spatial model (GLSMs) was fitted in order to explore relationship between exploitability and different explanatory variables that characterize slate quality. Modelling the influence of these variables and analysing the spatial distribution of the model residuals yielded a GLSM that allows slate exploitability to be predicted more effectively than when using generalized linear models (GLM), which do not take spatial dependence into account. Study
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Bar Massada, Avi, Alexandra D. Syphard, Susan I. Stewart, and Volker C. Radeloff. "Wildfire ignition-distribution modelling: a comparative study in the Huron–Manistee National Forest, Michigan, USA." International Journal of Wildland Fire 22, no. 2 (2013): 174. http://dx.doi.org/10.1071/wf11178.

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Wildfire ignition distribution models are powerful tools for predicting the probability of ignitions across broad areas, and identifying their drivers. Several approaches have been used for ignition-distribution modelling, yet the performance of different model types has not been compared. This is unfortunate, given that conceptually similar species-distribution models exhibit pronounced differences among model types. Therefore, our goal was to compare the predictive performance, variable importance and the spatial patterns of predicted ignition-probabilities of three ignition-distribution mod
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Bekar, İsmail, and Çağatay Tavşanoğlu. "Modelling the drivers of natural fire activity: the bias created by cropland fires." International Journal of Wildland Fire 26, no. 10 (2017): 845. http://dx.doi.org/10.1071/wf16183.

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Wildland and cropland fires, which differ considerably in fire regime characteristics, have often been evaluated jointly to estimate regional or global fire regimes using satellite-based fire activity data. We hypothesised that excluding cropland fires will change the output of the models regarding the drivers of natural fire activity. We modelled MODIS fire activity data of western and southern Turkey for the years 2000–2015 using binomial generalised linear models in which many climatic, anthropogenic and geographic factors were included as predictor variables. For modelling, we used differe
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Osawa, Takeshi, Hiromune Mitsuhashi, Yuta Uematsu, and Atushi Ushimaru. "Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data." Ecological Informatics 6, no. 5 (September 2011): 270–75. http://dx.doi.org/10.1016/j.ecoinf.2011.05.003.

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Lovegrove, Gordon R., and Tarek Sayed. "Macro-level collision prediction models for evaluating neighbourhood traffic safety." Canadian Journal of Civil Engineering 33, no. 5 (May 1, 2006): 609–21. http://dx.doi.org/10.1139/l06-013.

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This study describes the development of macro-level (i.e., neighbourhood or traffic zone level) collision prediction models using data from 577 neighbourhoods across the Greater Vancouver Regional District. The objective is to provide a safety planning decision-support tool that facilitates a proactive approach to community planning which addresses road safety before problems emerge. The models are developed using the generalized linear regression modelling (GLM) technique assuming a negative binomial error structure. The resulting models relate traffic collisions to neighbourhood characterist
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Karl, Florian M., Jennifer Smith, Shannon Piedt, Kate Turcotte, and Ian Pike. "Applying the health action process approach to bicycle helmet use and evaluating a social marketing campaign." Injury Prevention 24, no. 4 (August 5, 2017): 288–95. http://dx.doi.org/10.1136/injuryprev-2017-042399.

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BackgroundBicycle injuries are of concern in Canada. Since helmet use was mandated in 1996 in the province of British Columbia, Canada, use has increased and head injuries have decreased. Despite the law, many cyclists do not wear a helmet. Health action process approach (HAPA) model explains intention and behaviour with self-efficacy, risk perception, outcome expectancies and planning constructs. The present study examines the impact of a social marketing campaign on HAPA constructs in the context of bicycle helmet use.MethodA questionnaire was administered to identify factors determining hel
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Chun, K. P., H. S. Wheater, and C. J. Onof. "Streamflow estimation for six UK catchments under future climate scenarios." Hydrology Research 40, no. 2-3 (April 1, 2009): 96–112. http://dx.doi.org/10.2166/nh.2009.086.

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Possible changes in streamflow in response to climate variation are crucial for anthropological and ecological systems. However, estimates of precipitation under future climate scenarios are notoriously uncertain. In this article, rainfall time series are generated by the generalized linear model (GLM) approach in which stochastic time series are generated using alternative climate model output variables and potential evaporation series estimated by a temperature method. These have been input to a conceptual rainfall–runoff model (pd4-2par) to simulate the daily streamflows for six UK catchmen
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Iyit, Neslihan. "Modelling world energy security data from multinomial distribution by generalized linear model under different cumulative link functions." Open Chemistry 16, no. 1 (April 30, 2018): 377–85. http://dx.doi.org/10.1515/chem-2018-0053.

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AbstractEnergy securityis one of the major components of energy sustainability in the world’s energy performance. In this study,energy securityis taken as an ordinal response variable coming from the multinomial distribution with the energy grade levelsA,B,C, andD. Thereafter, the worldenergy securitydata is tried to be statistically modelled by usinggeneralized linear model (GLM)approach for the ordinal response variable under different cumulative link functions. The cumulative link functions comparatively used in this study are cumulative logit, cumulative probit, cumulative complementary lo
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11

Capinha, César, Franz Essl, Hanno Seebens, Henrique Miguel Pereira, and Ingolf Kühn. "Models of alien species richness show moderate predictive accuracy and poor transferability." NeoBiota 38 (June 6, 2018): 77–96. http://dx.doi.org/10.3897/neobiota.38.23518.

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Robust predictions of alien species richness are useful to assess global biodiversity change. Nevertheless, the capacity to predict spatial patterns of alien species richness remains largely unassessed. Using 22 data sets of alien species richness from diverse taxonomic groups and covering various parts of the world, we evaluated whether different statistical models were able to provide useful predictions of absolute and relative alien species richness, as a function of explanatory variables representing geographical, environmental and socio-economic factors. Five state-of-the-art count data m
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12

ter Braak, Cajo J. F., Pedro Peres-Neto, and Stéphane Dray. "A critical issue in model-based inference for studying trait-based community assembly and a solution." PeerJ 5 (January 12, 2017): e2885. http://dx.doi.org/10.7717/peerj.2885.

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Statistical testing of trait-environment association from data is a challenge as there is no common unit of observation: the trait is observed on species, the environment on sites and the mediating abundance on species-site combinations. A number of correlation-based methods, such as the community weighted trait means method (CWM), the fourth-corner correlation method and the multivariate method RLQ, have been proposed to estimate such trait-environment associations. In these methods, valid statistical testing proceeds by performing two separate resampling tests, one site-based and the other s
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13

Hay, Fiona R., Andrew Mead, and Mark Bloomberg. "Modelling seed germination in response to continuous variables: use and limitations of probit analysis and alternative approaches." Seed Science Research 24, no. 3 (July 7, 2014): 165–86. http://dx.doi.org/10.1017/s096025851400021x.

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AbstractProbit-based models relating a proportional response variable to a temporal explanatory variable, assuming that the times to response are normally distributed within the population, have been used in seed biology for describing the rate of loss of viability during seed ageing and the progress of germination over time in response to environmental signals (e.g. water, temperature). These models may be expressed as generalized linear models (GLMs) with a probit (cumulative normal distribution) link function, and, using GLM fitting procedures in current statistical software, parameters of
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14

Shen, Bo-Wen. "Aggregated Negative Feedback in a Generalized Lorenz Model." International Journal of Bifurcation and Chaos 29, no. 03 (March 2019): 1950037. http://dx.doi.org/10.1142/s0218127419500378.

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In this study, we first present a generalized Lorenz model (LM) with [Formula: see text] modes, where [Formula: see text] is an odd number that is greater than three. The generalized LM (GLM) is derived based on a successive extension of the nonlinear feedback loop (NFL) with additional high wavenumber modes. By performing a linear stability analysis with [Formula: see text] and [Formula: see text], we illustrate that: (1) within the 3D, 5D, and 7D LMs, the appearance of unstable nontrivial critical points requires a larger Rayleigh parameter in a higher-dimensional LM and (2) within the 9DLM,
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15

Austin, MP. "Modelling the Environmental Niche of Plants: Implications for Plant Community Response to Elevated CO2 Levels." Australian Journal of Botany 40, no. 5 (1992): 615. http://dx.doi.org/10.1071/bt9920615.

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No simple natural gradients in CO2 concentration exist for testing predictions about changes in plant communities in response to elevated CO2. However indirect effects of CO2 via temperature increases can be tested by reference to natural analogues. Physiologists, vegetation modellers of climate change and community ecologists assume very different temperature responses for plants. Physiologists often assume a skewed non-monotonic curve with a tail towards low temperatures, forest modellers using FORET type models, a symmetric curve, and community ecologists a skewed response with a tail towar
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Marzialetti, Flavio, Manuele Bazzichetto, Silvia Giulio, Alicia T. R. Acosta, Angela Stanisci, Marco Malavasi, and Maria Laura Carranza. "Modelling Acacia saligna invasion on the Adriatic coastal landscape: An integrative approach using LTER data." Nature Conservation 34 (May 3, 2019): 127–44. http://dx.doi.org/10.3897/natureconservation.34.29575.

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Invasive Alien Species (IAS) pose a major threat to biodiversity and ecosystem services worldwide. Even if preventing biological invasions should be the most cost-effective way to minimise the impact of IAS on biodiversity, new efforts are necessary to identify early signs of invasion and to assess invasion risk. In this context, the implementation of invasive Species Distribution Models (iSDMs) could represent a sound instrument that merits further research. Acaciasaligna is an Australian vascular plant introduced into Europe during the last half century and is one of the most aggressive IAS
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Harati, Saeed, Liliana Perez, and Roberto Molowny-Horas. "Integrating Neighborhood Effect and Supervised Machine Learning Techniques to Model and Simulate Forest Insect Outbreaks in British Columbia, Canada." Forests 11, no. 11 (November 18, 2020): 1215. http://dx.doi.org/10.3390/f11111215.

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Background and Objectives: Modelling and simulation of forest land cover change due to epidemic insect outbreaks are powerful tools that can be used in planning and preparing strategies for forest management. In this study, we propose an integrative approach to model land cover changes at a provincial level, using as a study case the simulation of the spatiotemporal dynamics of mountain pine beetle (MPB) infestation over the lodgepole pine forest of British Columbia (BC), Canada. This paper aims to simulate land cover change by applying supervised machine learning techniques to maps of MPB-dri
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Zhao, Tongwei, Guangyun Mao, and Ming Chen. "The Role of Change Rates of CYFRA21-1 and CEA in Predicting Chemotherapy Efficacy for Non-Small-Cell Lung Cancer." Computational and Mathematical Methods in Medicine 2021 (September 21, 2021): 1–7. http://dx.doi.org/10.1155/2021/1951364.

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Background. Cytokeratin 19 fragment 21-1 (CYFRA21-1) and carcinoembryonic antigen (CEA) are effective prognostic biomarkers for lung cancer. This study investigated the predictive effects of change rates of CYFRA21-1 and CEA before and after the first cycles of chemotherapy on advanced IIIb/IIIc or IV stage non-small-cell lung cancer (NSCLC) patients. Methods. Data of 103 NSCLC patients who received chemotherapy in Zhejiang Provincial People’s Hospital from February 2018 to November 2020 were retrospectively analyzed. All patients received platinum doublet chemotherapy for at least 2 cycles. C
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Amorim, Patrícia, Miguel Figueiredo, Miguel Machete, Telmo Morato, Ana Martins, and Ricardo Serrão Santos. "Spatial variability of seabird distribution associated with environmental factors: a case study of marine Important Bird Areas in the Azores." ICES Journal of Marine Science 66, no. 1 (November 5, 2008): 29–40. http://dx.doi.org/10.1093/icesjms/fsn175.

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Abstract Amorim, P., Figueiredo, M., Machete, M., Morato, T., Martins, A., and Serrão Santos, R. 2009. Spatial variability of seabird distribution associated with environmental factors: a case study of marine Important Bird Areas in the Azores. – ICES Journal of Marine Science, 66: 29–40. The spatial structure and distribution at sea of Cory's shearwaters (Calonectris diomedea borealis), common terns (Sterna hirundo), and roseate terns (Sterna dougallii) were analysed in the Azores for various environmental factors: sea surface temperature, chlorophyll a concentration, distance to fronts, wind
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Kyei, Kwabena A. "Do parents Influence the Choice of Tertiary Institutions for their Children? Some Statistical Analyses." Journal of Economics and Behavioral Studies 7, no. 6(J) (December 30, 2015): 72–80. http://dx.doi.org/10.22610/jebs.v7i6(j).619.

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The paper investigates whether or not parents influence their children’s choice for tertiary institution to attend. Education has increasingly become more important in this present age to the extent that, without higher qualifications, employment and success become very difficult to achieve. Parents are trying to send their children to tertiary institutions so that these children will be employable. But the question is: Do parents choose the tertiary institutions for their children? The paper wants to find out whether or not parents have a say in their children’s choice for tertiary instit
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DiGiacomo, Alexandra E., Walker E. Harrison, David W. Johnston, and Justin T. Ridge. "Elasmobranch Use of Nearshore Estuarine Habitats Responds to Fine-Scale, Intra-Seasonal Environmental Variation: Observing Coastal Shark Density in a Temperate Estuary Utilizing Unoccupied Aircraft Systems (UAS)." Drones 4, no. 4 (December 8, 2020): 74. http://dx.doi.org/10.3390/drones4040074.

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Many coastal shark species are known to use estuaries of the coastal southeastern United States for essential purposes like foraging, reproducing, and protection from predation. Temperate estuarine landscapes, such as the Rachel Carson Reserve (RCR) in Beaufort, NC, are dynamic habitat mosaics that experience fluctuations in physical and chemical oceanographic properties on various temporal and spatial scales. These patterns in abiotic conditions play an important role in determining species movement. The goal of this study was to understand the impact of environmental conditions around the RC
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Chen, Yuqing, Bruce Doran, Sharyn Sinclair-Hannocks, John Mangos, and Philip Gibbons. "Building selection by the common brushtail possum (Trichosurus vulpecula)." Wildlife Research 47, no. 2 (2020): 186. http://dx.doi.org/10.1071/wr19106.

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Abstract ContextThe common brushtail possum (Trichosurus vulpecula) is a protected native species in Australia that can access buildings in urban areas and cause considerable damage or disruption to building occupants. Although several strategies to discourage this species from entering buildings have been recommended, few have been evaluated empirically. AimsOur study aims to analyse how landscaping and building construction influence occupancy of buildings by the common brushtail possum. MethodsWe collated reports of possums occupying 134 buildings over 12 years on the campus of The Australi
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Bedia, J., S. Herrera, and J. M. Gutiérrez. "Modelling fire frequency and area burned across phytoclimatic regions in Spain using reanalysis data and the Canadian Fire Weather Index System." Natural Hazards and Earth System Sciences Discussions 1, no. 5 (September 17, 2013): 4891–924. http://dx.doi.org/10.5194/nhessd-1-4891-2013.

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Abstract. We develop fire occurrence and burned area models in peninsular Spain, an area of high variability in climate and fuel types, for the period 1990–2008. We based the analysis on a phytoclimatic classification aiming to the stratification of the territory into homogeneous units in terms of climatic and fuel type characteristics, allowing to test model performance under different climatic and fuel conditions. We used generalized linear models (GLM) and multivariate adaptive regression splines (MARS) as modelling algorithms and temperature, relative humidity, precipitation and wind speed
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Martins, Inês, Miha Krofel, Paulo G. Mota, and Francisco Álvares. "Consumption of Carnivores by Wolves: A Worldwide Analysis of Patterns and Drivers." Diversity 12, no. 12 (December 11, 2020): 470. http://dx.doi.org/10.3390/d12120470.

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The occurrence of carnivore species in wolf diet has been overlooked and poorly studied despite the potential implications for wolf ecology and wildlife management. We conducted an extensive literature review, focusing on 120 wolf diet studies worldwide to assess global patterns of carnivore consumption by wolves and their ecological and human-related determinants. We used a total of 143 sampling sites with data on the consumption of carnivores by wolves. In total, 35 carnivore species were reported to be consumed by wolves, comprising members of all taxonomic carnivore families represented wi
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Pellegrino, Irene, Luca Ilahiane, Giovanni Boano, Marco Cucco, Marco Pavia, Heather L. Prestridge, and Gary Voelker. "Avian Haemosporidian Diversity on Sardinia: A First General Assessment for the Insular Mediterranean." Diversity 13, no. 2 (February 10, 2021): 75. http://dx.doi.org/10.3390/d13020075.

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The Western Palearctic is one of the most investigated regions for avian haemosporidian parasites (Haemoproteus, Plasmodium and Leucocytozoon), yet geographic gaps in our regional knowledge remain. Here, we report the first haemosporidian screening of the breeding birds from Sardinia (the second-largest Mediterranean Island and a biodiversity hotspot), and the first for the insular Mediterranean in general. We examined the occurrence of haemosporidians by amplifying their mtDNA cytb gene in 217 breeding birds, belonging to 32 species. The total prevalence of infected birds was 55.3%, and of th
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Harini, K., and K. Sashi Rekha. "Comparison of Logistic Regression and Generalized Linear Model for Identifying Accurate At – Risk Students." Alinteri Journal of Agriculture Sciences 36, no. 1 (June 22, 2021): 399–405. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21060.

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Aim: To predict the accuracy percentage of At - risk students based on High withdrawal and Failure rate. Materials and methods: Logistic Regression with sample size = 20 and Generalised Linear Model (GLM) with sample size = 20 was iterated different times for predicting accuracy percentage of At - risk students. The Novel sigmoid function used in Logistic Regression maps prediction to probabilities which helps to improve the prediction of accuracy percentage. Results and Discussion: Logistic Regression has significantly better accuracy (94.48 %) compared to GLM accuracy (92.76 %). There was a
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Abdellatif, M., W. Atherton, and R. Alkhaddar. "A hybrid generalised linear and Levenberg–Marquardt artificial neural network approach for downscaling future rainfall in North Western England." Hydrology Research 44, no. 6 (January 16, 2013): 1084–101. http://dx.doi.org/10.2166/nh.2013.045.

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This paper describes a novel technique for downscaling daily rainfall which uses a combination of a generalised linear model (GLM) and artificial neural network (ANN) to downscale rainfall. A two-stage process is applied, an occurrence process which uses the GLM model and an amount process which uses an ANN model trained with a Levenberg–Marquardt approach. The GLM-ANN was compared with other three downscaling models, the traditional neural network (ANN), multiple linear regression (MLR) and Poisson regression (PR). The models are applied for downscaling daily rainfall at three locations in th
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Thomas, Daniel B., Michael Kopp, and Katarina Markovič. "Using large-scale structure data and a halo model to constrain generalized dark matter." Monthly Notices of the Royal Astronomical Society 490, no. 1 (September 12, 2019): 813–31. http://dx.doi.org/10.1093/mnras/stz2559.

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ABSTRACT Constraints on the properties of the cosmological dark matter have previously been obtained in a model-independent fashion using the generalized dark matter (GDM) framework. Here we extend that work in several directions: We consider the inclusion of WiggleZ matter power spectrum data (MPS), and show that this improves the constraints on the two perturbative GDM parameters, $c^2_\mathrm{ s}$ and $c^2_\text{vis}$, by a factor of 3, for a conservative choice of wavenumber range. A less conservative choice can yield an improvement of up to an order of magnitude compared to previous const
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Perpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Chiarelli, and Arcangelo Merla. "Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity." Sensors 19, no. 4 (February 19, 2019): 849. http://dx.doi.org/10.3390/s19040849.

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Functional infrared imaging (fIRI) is a validated procedure to infer autonomic arousal. Currently, fIRI signals are analysed through descriptive metrics, such as average temperature changes in a region of interest (ROI). However, the employment of mathematical models could provide a powerful tool for the accurate identification of autonomic activity and investigation of the mechanisms underlying autonomic arousal. A linear temporal statistical model such as the general linear model (GLM) is particularly suited for its simplicity and direct interpretation. In order to apply the GLM, the thermal
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Khorozyan, Igor, Mahmood Soofi, Mobin Soufi, Amirhossein Khaleghi Hamidi, Arash Ghoddousi, and Matthias Waltert. "Effects of shepherds and dogs on livestock depredation by leopards (Panthera pardus) in north-eastern Iran." PeerJ 5 (February 23, 2017): e3049. http://dx.doi.org/10.7717/peerj.3049.

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Human-carnivore conflicts over livestock depredation are increasingly common, yet little is understood about the role of husbandry in conflict mitigation. As shepherds and guarding dogs are most commonly used to curb carnivore attacks on grazing livestock, evaluation and improvement of these practices becomes an important task. We addressed this issue by studying individual leopard (Panthera pardus) attacks on sheep and goats in 34 villages near Golestan National Park, Iran. We obtained and analyzed data on 39 attacks, which included a total loss of 31 sheep and 36 goats in 17 villages. We app
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Luiselli, Luca, Leonardo Sale, Godfrey C. Akani, and Giovanni Amori. "Venomous Snake Abundance Within Snake Species’ Assemblages Worldwide." Diversity 12, no. 2 (February 7, 2020): 69. http://dx.doi.org/10.3390/d12020069.

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Venomous snakes are among the main sources of mortality for humans in rural regions, especially in tropical countries. In this study, a meta-analysis of quantitative community ecology studies on snake assemblages throughout the world was conducted in order to evaluate variation in the frequency of occurrence of venomous species and venomous individuals by habitat and continent. A bibliographic search was done by consulting “Google Scholar” and “ISI Web of Knowledge”. In total, 24,200 results were obtained from our bibliographic search, out of which 60 independent studies reporting raw and anal
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Renshaw, A. E. "Actuarial graduation practice and generalised linear and non-linear models." Journal of the Institute of Actuaries 118, no. 2 (1991): 295–312. http://dx.doi.org/10.1017/s0020268100019454.

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ABSTRACTIt is demonstrated how existing actuarial graduation practice, used in the construction of life tables, can be extended to considerable effect by formulating the techniques within the generalised linear and non-linear modelling framework.
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Pitt, David, Jackie Li, and Tian Kang Lim. "SMOOTHING POISSON COMMON FACTOR MODEL FOR PROJECTING MORTALITY JOINTLY FOR BOTH SEXES." ASTIN Bulletin 48, no. 02 (January 9, 2018): 509–41. http://dx.doi.org/10.1017/asb.2017.44.

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AbstractWe consider a modification to the Poisson common factor model and utilise a generalised linear model (GLM) framework that incorporates a smoothing process and a set of linear constraints. We extend the standard GLM model structure to adopt Lagrange methods and P-splines such that smoothing and constraints are applied simultaneously as the parameters are estimated. Our results on Australian, Canadian and Norwegian data show that this modification results in an improvement in mortality projection in terms of producing more accurate forecasts in the out-of-sample testing. At the same time
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Rickard, J. M. "Application of a generalised linear modelling approach to category analysis." Transportation Planning and Technology 13, no. 2 (February 1989): 121–29. http://dx.doi.org/10.1080/03081068908717393.

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35

Jackson, Andrew S., Kenneth J. Ellis, Brian K. McFarlin, Mary H. Sailors, and Molly S. Bray. "Cross-validation of generalised body composition equations with diverse young men and women: the Training Intervention and Genetics of Exercise Response (TIGER) Study." British Journal of Nutrition 101, no. 6 (August 15, 2008): 871–78. http://dx.doi.org/10.1017/s0007114508047764.

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Generalised skinfold equations developed in the 1970s are commonly used to estimate laboratory-measured percentage fat (BF%). The equations were developed on predominately white individuals using Siri's two-component percentage fat equation (BF%-GEN). We cross-validated the Jackson–Pollock (JP) generalised equations with samples of young white, Hispanic and African–American men and women using dual-energy X-ray absorptiometry (DXA) as the BF% referent criterion (BF%-DXA). The cross-sectional sample included 1129 women and men (aged 17–35 years). The correlations between BF%-GEN and BF%-DXA wer
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36

Aufhauser, E., and M. M. Fischer. "Log-Linear Modelling and Spatial Analysis." Environment and Planning A: Economy and Space 17, no. 7 (July 1985): 931–51. http://dx.doi.org/10.1068/a170931.

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In the past decade the social sciences have seen an upsurge of interest in analysing multidimensional contingency tables using log-linear models. Two broad families of log-linear models may be distinguished: the family of conventional models and the family of unconventional models (that is, quasi-log-linear and hybrid models). In this paper a brief review of such models is presented and some linkage to the class of generalised linear models suggested by Nelder and Wedderburn is provided. The great potential of log-linear models for spatial analysis is illustrated in applying conventional and u
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37

Michaelsen, Tore Christian. "Summer temperature and precipitation govern bat diversity at northern latitudes in Norway." Mammalia 80, no. 1 (January 1, 2016): 1–9. http://dx.doi.org/10.1515/mammalia-2014-0077.

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AbstractThis study investigated bat diversity in a temperature and precipitation gradient in fiord and valley landscapes of western Norway about 62° N. Equipment for automatic recording of bat calls was distributed in areas ranging from lowlands to alpine habitats with a mean July temperature range of 8–14°C. A general description of species distribution was given and diversity was analysed using both a generalised linear model (GLM) and a mixed-effects model (GLMM). With regard to the sampling design, the data were analysed on a binary scale, where presence or absence of any species other tha
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38

RICHES, NICK G. "Complex sentence profiles in children with Specific Language Impairment: Are they really atypical?" Journal of Child Language 44, no. 2 (February 15, 2016): 269–96. http://dx.doi.org/10.1017/s0305000915000847.

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AbstractChildren with Specific Language Impairment (SLI) have language difficulties of unknown origin. Syntactic profiles are atypical, with poor performance on non-canonical structures, e.g. object relatives, suggesting a localized deficit. However, existing analyses using ANOVAs are problematic because they do not systematically address unequal variance, or fully model random effects. Consequently, a Generalised Linear Model (GLM) was used to analyze data from a Sentence Repetition (SR) task involving relative clauses. seventeen children with SLI (mean age 6;7), twenty-one Language Matched (
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39

Bučas, M., U. Bergström, A.-L. Downie, G. Sundblad, M. Gullström, M. von Numers, A. Šiaulys, and M. Lindegarth. "Empirical modelling of benthic species distribution, abundance, and diversity in the Baltic Sea: evaluating the scope for predictive mapping using different modelling approaches." ICES Journal of Marine Science 70, no. 6 (May 19, 2013): 1233–43. http://dx.doi.org/10.1093/icesjms/fst036.

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Abstract Bučas, M., Bergström, U., Downie, A-L., Sundblad, G., Gullström, M., von Numers, M., Šiaulys, A., and Lindegarth, M. 2013. Empirical modelling of benthic species distribution, abundance, and diversity in the Baltic Sea: evaluating the scope for predictive mapping using different modelling approaches. – ICES Journal of Marine Science, 70: 1233–1243. The predictive performance of distribution models of common benthic species in the Baltic Sea was compared using four non-linear methods: generalized additive models (GAMs), multivariate adaptive regression splines, random forest (RF), and
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40

Stanton, Michelle C., and Peter J. Diggle. "Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling?" Environmetrics 24, no. 3 (April 2, 2013): 158–71. http://dx.doi.org/10.1002/env.2205.

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41

Otieno, Odhiambo Luther, and Sam Ngwenya. "The relationship between capital structure and financial performance of firms listed on the Nairobi securities exchange." Corporate Ownership and Control 13, no. 1 (2015): 296–314. http://dx.doi.org/10.22495/cocv13i1c2p8.

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Until now, researchers are not in consensus, whether it is the capital structure that influences performance or performance that influences capital structure or both. The main objective of this study was to establish the relationship between capital structure and financial performance of firms listed on the NSE by employing a generalised linear model (GLM) as an improvement on ordinary least regression (OLS). The results of the study revealed that efficient and profitable firms employ more debt than comparable firms that are less profitable possibly because profitable firms’ exposure to financ
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42

Chandler, Richard E. "Multisite, multivariate weather generation based on generalised linear models." Environmental Modelling & Software 134 (December 2020): 104867. http://dx.doi.org/10.1016/j.envsoft.2020.104867.

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43

BISSELL, J. J., C. C. S. CAIADO, M. GOLDSTEIN, and B. STRAUGHAN. "COMPARTMENTAL MODELLING OF SOCIAL DYNAMICS WITH GENERALISED PEER INCIDENCE." Mathematical Models and Methods in Applied Sciences 24, no. 04 (January 28, 2014): 719–50. http://dx.doi.org/10.1142/s0218202513500656.

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A generalised compartmental method for investigating the spread of socially determined behaviour is introduced, and cast in the specific context of societal smoking dynamics with multiple peer influence. We consider how new peer influence terms, acting in both the rate at which smokers abandon their habit, and the rate at which former smokers relapse, can affect the spread of smoking in populations of constant size. In particular, we develop a three-population model (comprising classes of potential, current, and former smokers) governed by multiple incidence transfer rates with linear frequenc
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44

Koo, Ja-Yong, and Youngjo Lee. "Bivariate B-splines in generalised linear models." Journal of Statistical Computation and Simulation 50, no. 1-2 (August 1994): 119–29. http://dx.doi.org/10.1080/00949659408811603.

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45

Lovick, A. C., and P. K. W. Lee. "Redefining the deviance objective for generalised linear models." British Actuarial Journal 17, no. 3 (September 2012): 491–509. http://dx.doi.org/10.1017/s1357321712000190.

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AbstractThis paper defines the ‘Case Deleted’ Deviance - a new objective function for evaluating Generalised Linear Models, and applies this to a number of practical examples in the pricing of general insurance. The paper details practical approximations to enable the efficient calculation of the objective, and derives modifications to the standard Generalised Linear Modelling algorithm to allow the derivation of scaled parameters from this measure to reduce potential over fitting to historical data. These scaled parameters improve the predictiveness of the model when applied to previously uns
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46

Atkinson, P. M., and R. Massari. "GENERALISED LINEAR MODELLING OF SUSCEPTIBILITY TO LANDSLIDING IN THE CENTRAL APENNINES, ITALY." Computers & Geosciences 24, no. 4 (May 1998): 373–85. http://dx.doi.org/10.1016/s0098-3004(97)00117-9.

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47

Ellem, B. A., A. Bryant, and A. O’Connor. "Statistical Modelling of Platypus, Ornithorhynchus anatinus, Habitat Preferences Using Generalised Linear Models." Australian Mammalogy 20, no. 2 (1998): 281. http://dx.doi.org/10.1071/am98281.

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Bryant (1993) collected extensive data on the habitat preferences of the platypus (Ornithorhynchus anatinus) measured in 36 pools in the upper Macquarie River system. Platypus presence or absence in these pools was measured on three occasions. Detailed modelling of the factors affecting pool preference was complicated by the scale of response being ordinal due to the inability of the observer to distinguish between repeated sightings of the same animal and several different animals. Initial modelling using logistic regression on a presence/absence index, collapsed from the ordinal response, di
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48

Hilton, Jason, Erengul Dodd, Jonathan J. Forster, and Peter W. F. Smith. "Modelling Frontier Mortality Using Bayesian Generalised Additive Models." Journal of Official Statistics 37, no. 3 (September 1, 2021): 569–89. http://dx.doi.org/10.2478/jos-2021-0026.

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Abstract Mortality rates differ across countries and years, and the country with the lowest observed mortality has changed over time. However, the classic Science paper by Oeppen and Vaupel (2002) identified a persistent linear trend over time in maximum national life expectancy. In this article, we look to exploit similar regularities in age-specific mortality by considering for any given year a hypothetical mortality ‘frontier’, which we define as the lower limit of the force of mortality at each age across all countries. Change in this frontier reflects incremental advances across the wide
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49

Farza, Mondher, Mohammed M'Saad, Fenglong Liu, and Boubekeur Targui. "Generalised observers for a class of non-linear systems." International Journal of Modelling, Identification and Control 2, no. 1 (2007): 24. http://dx.doi.org/10.1504/ijmic.2007.014324.

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Green, Bridget S., Caleb Gardner, and Robert B. Kennedy. "Generalised linear modelling of fecundity at length in southern rock lobsters, Jasus edwardsii." Marine Biology 156, no. 9 (May 31, 2009): 1941–47. http://dx.doi.org/10.1007/s00227-009-1226-x.

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