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Journal articles on the topic 'GLM'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Kuswoyo, Anton. "EKSPLORASI AIR TANAH DENGAN METODE GEOLISTRIK SCHLUMBERGER DI DAERAH PESISIR KABUPATEN TANAH LAUT." Jurnal Purifikasi 13, no. 2 (2020): 58–66. http://dx.doi.org/10.12962/j25983806.v13.i2.389.

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Intrusi air laut mengakibatkan polusi bagi air tanah, baik air tanah dangkal maupun air tanah dalam, yang merupakan sumber air bersih bagi penduduk. Khusus di daerah pesisir yang belum dilayanan air PDAM, masyarakat masih menggunakan air sumur dangkal sebagai sumber air bersih. Kendala utama sumur dangkal adalah mengalami kekeringan ketika musim kemarau dan mengalami intrusi air laut. Pengambilan data resistivitas dengan menggunakan metode geolistrik Schlumberger dilakukan pada sembilan titik lintasan. Hasil penelitian eksplorasi menunjukkan metoda geolistrik dapat digunakan untuk menentukan k

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2

Páez, Andrés, Andrés Velasco-Villa, Gloria Rey, and Charles E. Rupprecht. "Molecular epidemiology of rabies in Colombia 1994–2005 based on partial nucleoprotein gene sequences." Virus Research 130, no. 1-2 (2007): 172–81. https://doi.org/10.5281/zenodo.13437473.

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(Uploaded by Plazi for the Bat Literature Project) One hundred and twenty-four rabies viruses (RABV) were isolated from humans and eight species of mammals in Colombia during 1994–2005. To determine the genetic and reservoir-associated diversity cDNA fragments encoding 88 amino acids at the carboxyl terminus of the nucleoprotein were sequenced and used in phylogenetic analyses. Eight genetic lineages (GL) were characterized. GL1, GL2 and GL3 consisted of dog-associated antigenic variant (AV) 1 RABV, isolated in the centre-east, north and southwest of Colombia, respectively. GL1 is apparently e

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3

Páez, Andrés, Andrés Velasco-Villa, Gloria Rey, and Charles E. Rupprecht. "Molecular epidemiology of rabies in Colombia 1994–2005 based on partial nucleoprotein gene sequences." Virus Research 130, no. 1-2 (2007): 172–81. https://doi.org/10.5281/zenodo.13437473.

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(Uploaded by Plazi for the Bat Literature Project) One hundred and twenty-four rabies viruses (RABV) were isolated from humans and eight species of mammals in Colombia during 1994–2005. To determine the genetic and reservoir-associated diversity cDNA fragments encoding 88 amino acids at the carboxyl terminus of the nucleoprotein were sequenced and used in phylogenetic analyses. Eight genetic lineages (GL) were characterized. GL1, GL2 and GL3 consisted of dog-associated antigenic variant (AV) 1 RABV, isolated in the centre-east, north and southwest of Colombia, respectively. GL1 is apparently e

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4

Páez, Andrés, Andrés Velasco-Villa, Gloria Rey, and Charles E. Rupprecht. "Molecular epidemiology of rabies in Colombia 1994–2005 based on partial nucleoprotein gene sequences." Virus Research 130, no. 1-2 (2007): 172–81. https://doi.org/10.5281/zenodo.13437473.

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(Uploaded by Plazi for the Bat Literature Project) One hundred and twenty-four rabies viruses (RABV) were isolated from humans and eight species of mammals in Colombia during 1994–2005. To determine the genetic and reservoir-associated diversity cDNA fragments encoding 88 amino acids at the carboxyl terminus of the nucleoprotein were sequenced and used in phylogenetic analyses. Eight genetic lineages (GL) were characterized. GL1, GL2 and GL3 consisted of dog-associated antigenic variant (AV) 1 RABV, isolated in the centre-east, north and southwest of Colombia, respectively. GL1 is apparently e

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5

Páez, Andrés, Andrés Velasco-Villa, Gloria Rey, and Charles E. Rupprecht. "Molecular epidemiology of rabies in Colombia 1994–2005 based on partial nucleoprotein gene sequences." Virus Research 130, no. 1-2 (2007): 172–81. https://doi.org/10.5281/zenodo.13437473.

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(Uploaded by Plazi for the Bat Literature Project) One hundred and twenty-four rabies viruses (RABV) were isolated from humans and eight species of mammals in Colombia during 1994–2005. To determine the genetic and reservoir-associated diversity cDNA fragments encoding 88 amino acids at the carboxyl terminus of the nucleoprotein were sequenced and used in phylogenetic analyses. Eight genetic lineages (GL) were characterized. GL1, GL2 and GL3 consisted of dog-associated antigenic variant (AV) 1 RABV, isolated in the centre-east, north and southwest of Colombia, respectively. GL1 is apparently e

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6

Páez, Andrés, Andrés Velasco-Villa, Gloria Rey, and Charles E. Rupprecht. "Molecular epidemiology of rabies in Colombia 1994–2005 based on partial nucleoprotein gene sequences." Virus Research 130, no. 1-2 (2007): 172–81. https://doi.org/10.5281/zenodo.13437473.

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Abstract:

(Uploaded by Plazi for the Bat Literature Project) One hundred and twenty-four rabies viruses (RABV) were isolated from humans and eight species of mammals in Colombia during 1994–2005. To determine the genetic and reservoir-associated diversity cDNA fragments encoding 88 amino acids at the carboxyl terminus of the nucleoprotein were sequenced and used in phylogenetic analyses. Eight genetic lineages (GL) were characterized. GL1, GL2 and GL3 consisted of dog-associated antigenic variant (AV) 1 RABV, isolated in the centre-east, north and southwest of Colombia, respectively. GL1 is apparently e

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7

MIFTAHUDDIN, ANANDA PRATAMA SITANGGANG, NORIZAN MOHAMED, and MAHARANI A. BAKAR. "MODELLING INDIAN OCEAN AIR TEMPERATURE USING ADDITIVE MODEL." Journal of Mathematical Sciences and Informatics 2, no. 1 (2022): 23–36. http://dx.doi.org/10.46754/jmsi.2022.06.003.

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In this study, we used the fluctuating air temperature dataset. The change is caused by data fluctuations, trend, seasonality, cyclicity and irregularities. The generalized additive model (GAM) data approach is used to describe these phenomena. The aim of this research is to find out the factors that affect the air temperature in the Indian Ocean, find a suitable model, and obtain the best model from three approximate methods, namely the Linear Model (LM), the Generalized Linear Model (GLM), and the GAM models, which use a dataset of factors that affect the temperature of the Indian Ocean (clo

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8

Van Oirbeek, Robin, Félix Vandervorst, Thomas Bury, Gireg Willame, Christopher Grumiau, and Tim Verdonck. "Non-Differentiable Loss Function Optimization and Interaction Effect Discovery in Insurance Pricing Using the Genetic Algorithm." Risks 12, no. 5 (2024): 79. http://dx.doi.org/10.3390/risks12050079.

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Insurance pricing is the process of determining the premiums that policyholders pay in exchange for insurance coverage. In order to estimate premiums, actuaries use statistical based methods, assessing various factors such as the probability of certain events occurring (like accidents or damages), where the Generalized Linear Models (GLMs) are the industry standard method. Traditional GLM approaches face limitations due to non-differentiable loss functions and expansive variable spaces, including both main and interaction terms. In this study, we address the challenge of selecting relevant var

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9

Das, Rabindra Nath, and Jinseog Kim. "GLM and joint GLM techniques in hydrogeology: an illustration." International Journal of Hydrology Science and Technology 2, no. 2 (2012): 185. http://dx.doi.org/10.1504/ijhst.2012.047408.

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10

Ge, Tingting, Ping Sun, Xue Feng, et al. "Clinical features and risk factors of bilateral granulomatous lobular mastitis." Medicine 103, no. 17 (2024): e37854. http://dx.doi.org/10.1097/md.0000000000037854.

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Granulomatous lobular mastitis (GLM) is an idiopathic inflammatory breast disease that tends to recur on the same side. With the accumulation of clinical cases, it has been observed that GLM can also occur contralaterally. Currently, most studies on GLM focus on treatment methods and risk factors for ipsilateral recurrence, and there are few reports on bilateral GLM. The study aimed to summarize the clinical characteristics of patients with bilateral GLM by reviewing their clinical data, and to discuss the risk factors affecting the occurrence of bilateral GLM. A retrospective study of the med

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11

See, Garrett, Melanie Trenhaile-Gannemann, Daniel Ciobanu, Matthew L. Spangler, and Benny Mote. "66 A genome-wide association study for gestation length in swine." Journal of Animal Science 97, Supplement_2 (2019): 40. http://dx.doi.org/10.1093/jas/skz122.071.

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Abstract The objective of the current study was to conduct a genome-wide association on gestation length (GL) in different parities in swine. Sows (n = 831) belonging to the University of Nebraska – Lincoln resource population (Landrace X Nebraska Index Line) were utilized. GL was defined as the number of days between the final insemination and farrowing. Four traits, GL at parity 1, 2, 3 and 4 (GL1, GL2, GL3 and GL4, respectively) were investigated. Animals which were induced 24h prior to a farrowing event were removed from the analysis. Sows were genotyped with the Illumina SNP60 BeadArray.

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Clemente, Carina, Gracinda R. Guerreiro, and Jorge M. Bravo. "Modelling Motor Insurance Claim Frequency and Severity Using Gradient Boosting." Risks 11, no. 9 (2023): 163. http://dx.doi.org/10.3390/risks11090163.

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Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency–severity models assume a linear relationship between a function of the response variable and the predictors, independence between the claim frequency and severity, and assign full credibility to the data. To overcome some of these restrictions, this paper investigates the predictive performance of Gradient Boosting with decision trees as base learners to model the c

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13

Brody, Dorje C., Lane P. Hughston, and Ewan Mackie. "General theory of geometric Lévy models for dynamic asset pricing." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2142 (2012): 1778–98. http://dx.doi.org/10.1098/rspa.2011.0670.

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The geometric Lévy model (GLM) is a natural generalization of the geometric Brownian motion (GBM) model used in the derivation of the Black–Scholes formula. The theory of such models simplifies considerably if one takes a pricing kernel approach. In one dimension, once the underlying Lévy process has been specified, the GLM has four parameters: the initial price, the interest rate, the volatility and the risk aversion. The pricing kernel is the product of a discount factor and a risk aversion martingale. For GBM, the risk aversion parameter is the market price of risk. For a GLM, this interpre

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14

Yang, SeungCheon, Hong Ki Min, Jin-Sil Park, Hyun Sik Na, Mi-La Cho, and Sung-Hwan Park. "A green-lipped mussel prevents rheumatoid arthritis via regulation of inflammatory response and osteoclastogenesis." PLOS ONE 18, no. 1 (2023): e0280601. http://dx.doi.org/10.1371/journal.pone.0280601.

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Rheumatoid arthritis (RA) is a chronic inflammatory disorder characterized by progressive joint destruction. Green-lipped mussel (GLM) has chondro-modulatory and anti-inflammatory properties, but the mechanism underlying the effect of GLM on RA is unclear. To investigate the roles of GLM on the pathogenesis of RA, we examined the effects of GLM in collagen-induced arthritis (CIA) mice and osteoclast differentiation. GLM was orally administrated CIA mice at 3 weeks after chicken type II collagen (CII) immunizations. GLM reduced arthritis severity and the histologic score of CIA mice compared to

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15

SECHERRE, V. "Représentations lisses de GLm(D)GLm(D), III : types simples." Annales Scientifiques de l’École Normale Supérieure 38, no. 6 (2005): 951–77. http://dx.doi.org/10.1016/j.ansens.2005.10.003.

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16

Bailey, Jason Robert, Davide Lauria, W. Brent Lindquist, Stefan Mittnik, and Svetlozar T. Rachev. "Hedonic Models of Real Estate Prices: GAM Models; Environmental and Sex-Offender-Proximity Factors." Journal of Risk and Financial Management 15, no. 12 (2022): 601. http://dx.doi.org/10.3390/jrfm15120601.

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We investigate the use of a P-spline generalized additive hedonic model (GAM) for real estate prices in large U.S. cities, contrasting their predictive efficiency against commonly used linear and polynomial-based generalized linear models (GLM). Using intrinsic and extrinsic factors available from Redfin, we show that the GAM model is capable of describing 84% to 92% of the variance in the expected ln(sales price), based upon 2021 data. In contrast, a strictly linear GLM accounted for 65% to 78% of the variance, while polynomial-based GLMs accounted for 82% to 88%. As climate change is becomin

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17

Arabameri, Alireza, Omid Asadi Nalivan, Sunil Saha, et al. "Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility." Remote Sensing 12, no. 11 (2020): 1890. http://dx.doi.org/10.3390/rs12111890.

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Gully erosion has become one of the major environmental issues, due to the severity of its impact in many parts of the world. Gully erosion directly and indirectly affects agriculture and infrastructural development. The Golestan Dam basin, where soil erosion and degradation are very severe problems, was selected as the study area. This research maps gully erosion susceptibility (GES) by integrating four models: maximum entropy (MaxEnt), artificial neural network (ANN), support vector machine (SVM), and general linear model (GLM). Of 1042 gully locations, 729 (70%) and 313 (30%) gully location

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18

Wilson, Alinta Ann, Antonio Nehme, Alisha Dhyani, and Khaled Mahbub. "A Comparison of Generalised Linear Modelling with Machine Learning Approaches for Predicting Loss Cost in Motor Insurance." Risks 12, no. 4 (2024): 62. http://dx.doi.org/10.3390/risks12040062.

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This study explores the insurance pricing domain in the motor insurance industry, focusing on the creation of “technical models” which are essentially obtained after combining the frequency model (the expected number of claims per unit of exposure) and the severity model (the expected amount per claim). Technical models are designed to predict the loss costs (the product of frequency and severity, i.e., the expected claim amount per unit of exposure) and this is a main factor that is taken into account for pricing insurance policies. Other factors for pricing include the company expenses, inve

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19

Abuhelwa, Ahmad Y., Ganessan Kichenadasse, Ross A. McKinnon, Andrew Rowland, Ashley M. Hopkins, and Michael J. Sorich. "Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial Cancer." Cancers 13, no. 9 (2021): 2001. http://dx.doi.org/10.3390/cancers13092001.

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Machine learning (ML) may enhance the efficiency of developing accurate prediction models for survival, which is critical in informing disease prognosis and care planning. This study aimed to develop an ML prediction model for survival outcomes in patients with urothelial cancer-initiating atezolizumab and to compare model performances when built using an expert-selected (curated) versus an all-in list (uncurated) of variables. Gradient-boosted machine (GBM), random forest, Cox-boosted, and penalised, generalised linear models (GLM) were evaluated for predicting overall survival (OS) and progr

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20

Tranidou, Antigoni, Emmanuela Magriplis, Ioannis Tsakiridis, et al. "Effect of Gestational Weight Gain during the First Half of Pregnancy on the Incidence of GDM, Results from a Pregnant Cohort in Northern Greece." Nutrients 15, no. 4 (2023): 893. http://dx.doi.org/10.3390/nu15040893.

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The aim of this study was to evaluate the effect of gestational weight gain (GWG) up to 23+6 weeks of gestation on the incidence of Gestational Diabetes Mellitus (GDM). A pregnant cohort of 5948 women in Northern Greece was recruited. Anthropometric features before and during pregnancy were recorded, the GWG by 23+6 weeks was calculated and a Generalized Linear Regression Model (GLM) with subgroup analyses based on weight status were computed. GDM was diagnosed in 5.5% of women. GLM results showed that GDM likelihood increased with maternal age (MA) and pre-pregnancy BMI (aOR: 1.08, 95%CI: [1.

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21

Alaqeeli, Omar, and Raad Alturki. "Evaluating the Performance of the Generalized Linear Model (glm) R Package Using Single-Cell RNA-Sequencing Data." Applied Sciences 13, no. 20 (2023): 11512. http://dx.doi.org/10.3390/app132011512.

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The glm R package is commonly used for generalized linear modeling. In this paper, we evaluate the ability of the glm package to predict binomial outcomes using logistic regression. We use single-cell RNA-sequencing datasets, after a series of normalization, to fit data into glm models repeatedly using 10-fold cross-validation over 100 iterations. Our evaluation criteria are glm’s Precision, Recall, F1-Score, Area Under the Curve (AUC), and Runtime. Scores for each evaluation category are collected, and their medians are calculated. Our findings show that glm has fluctuating Precision and F1-S

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22

Kalantar, Bahareh, Naonori Ueda, Vahideh Saeidi, Kourosh Ahmadi, Alfian Abdul Halin, and Farzin Shabani. "Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data." Remote Sensing 12, no. 11 (2020): 1737. http://dx.doi.org/10.3390/rs12111737.

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Predicting landslide occurrences can be difficult. However, failure to do so can be catastrophic, causing unwanted tragedies such as property damage, community displacement, and human casualties. Research into landslide susceptibility mapping (LSM) attempts to alleviate such catastrophes through the identification of landslide prone areas. Computational modelling techniques have been successful in related disaster scenarios, which motivate this work to explore such modelling for LSM. In this research, the potential of supervised machine learning and ensemble learning is investigated. Firstly,

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23

Zhou, Shijie, Robert A. Campbell, and Simon D. Hoyle. "Catch per unit effort standardization using spatio-temporal models for Australia’s Eastern Tuna and Billfish Fishery." ICES Journal of Marine Science 76, no. 6 (2019): 1489–504. http://dx.doi.org/10.1093/icesjms/fsz034.

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Abstract The majority of catch per unit effort (cpue) standardizations use generalized linear models (GLMs) or generalized additive models (GAMs). We develop geostatistical models that model catch locations as continuous Gaussian random fields (GRFs) and apply them to standardizing cpue in Australia’s Eastern Tuna and Billfish Fishery (ETBF). The results are compared with the traditional GLMs currently used in ETBF assessments as well as GAMs. Specifically, we compare seven models in three groups: two GLMs, two GAMs, and three GRF models. Within each group, one model treats spatial and tempora

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24

De Benedictis, G., G. Rose, C. Brancati, and A. Tagarelli. "Glm(1) and Glm(2) Allotypes in Albanian Towns of Calabria." Human Heredity 36, no. 2 (1986): 132–34. http://dx.doi.org/10.1159/000153615.

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25

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 (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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Wang, Yaping, Nusrat Yussouf, Edward R. Mansell, et al. "Impact of Assimilating GOES-R Geostationary Lightning Mapper Flash Extent Density Data on Severe Convection Forecasts in a Warn-on-Forecast System." Monthly Weather Review 149, no. 10 (2021): 3217–41. http://dx.doi.org/10.1175/mwr-d-20-0406.1.

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AbstractThe Geostationary Operational Environmental Satellite-R (GOES-R) Geostationary Lightning Mapper (GLM) instrument detects total lightning rate at high temporal and spatial resolution over the Americas and adjacent oceanic regions. The GLM observations provide detection and monitoring of deep electrified convection. This study explores the impact of assimilating the GLM-derived flash extent density (FED) on the analyses and short-term forecasts of two severe weather events into an experimental Warn-on-Forecast system (WoFS) using the ensemble Kalman filter data assimilation technique. Se

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27

Jhun, JooYeon, Hyun Sik Na, Keun-Hyung Cho, et al. "A green-lipped mussel reduces pain behavior and chondrocyte inflammation and attenuated experimental osteoarthritis progression." PLOS ONE 16, no. 12 (2021): e0259130. http://dx.doi.org/10.1371/journal.pone.0259130.

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The green-lipped mussel (GLM) contains novel omega-3 polyunsaturated fatty acids, which exhibit anti-inflammatory and joint-protecting properties. Osteoarthritis (OA) is a degenerative joint disease characterized by a progressive loss of cartilage; oxidative stress plays a role in the pathogenesis of OA. The objectives of this study were to investigate the in vivo effects of the GLM on pain severity and cartilage degeneration using an experimental rat OA model, and to explore the mode of action of GLM. OA was induced in rats by intra-articular injection of monosodium iodoacetate (MIA) into the

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28

Thompson, Bruce. "The Case for Using the General Linear Model as a Unifying Conceptual Framework for Teaching Statistics and Psychometric Theory." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 30. http://dx.doi.org/10.2458/jmm.v6i2.18801.

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The present paper argues for teaching statistics and psychometric theory using the GLM as a unifying conceptual framework. This helps students understand what analyses have in common, and also provides a firm grounding for understanding that more general cases of the GLM (canonical correlation analysis and SEM) can be interpreted with the same rubric used throughout the GLM. And this approach also helps students better understand analyses that are not part of the GLM, such as predictive discriminant analysis (PDA). The approach helps students understand that all GLM analyses (a) are correlatio

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29

Thompson, Bruce. "The Case for Using the General Linear Model as a Unifying Conceptual Framework for Teaching Statistics and Psychometric Theory." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 30. http://dx.doi.org/10.2458/v6i2.18801.

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The present paper argues for teaching statistics and psychometric theory using the GLM as a unifying conceptual framework. This helps students understand what analyses have in common, and also provides a firm grounding for understanding that more general cases of the GLM (canonical correlation analysis and SEM) can be interpreted with the same rubric used throughout the GLM. And this approach also helps students better understand analyses that are not part of the GLM, such as predictive discriminant analysis (PDA). The approach helps students understand that all GLM analyses (a) are correlatio

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30

Choi, Yong-Hoon, Min-Soo Park, Han-Sang Lim, and Jae-Sam Kim. "A Discussion on Glucose Loading Method in 18F-FDG PET/CT for Cerebral Gliomas." Korean Journal of Nuclear Medicine Technology 27, no. 1 (2023): 53–57. http://dx.doi.org/10.12972/kjnmt.20230009.

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Purpose: The purpose of this study is to determine whether the glucose loading method (GLM) is useful in the differentiation of cerebral gliomas by comparing it with fasting images. Materials and Methods: The patients were 70 people diagnosed with cerebral gliomas, and the equipment was Discovery 710 (GE Healthcare, MI, USA). All patients fasted for more than 6 hours, and fasting images and GLM were performed under the same imaging conditions, and the examination interval was 1 to 14 days. GLM administered 250 ㎖ of 10% glucose solution prior to radiopharmaceutical injection. SUVmax of cerebral

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Ma, Xiaojia, Xiaoli Min, and Chang Yao. "Different Treatments for Granulomatous Lobular Mastitis: A Systematic Review and Meta-Analysis." Breast Care 15, no. 1 (2019): 60–66. http://dx.doi.org/10.1159/000501498.

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Objective: Granulomatous lobular mastitis (GLM) is infrequently diagnosed. This study aimed to evaluate the efficacy and safety of managements for GLM in the nonlactation period. Methods: Publications were retrieved from PubMed, EMBASE, and the Cochrane library on September 10, 2018. We pooled and compared the outcome parameters and complete remission (CR) rates between different treatments using a meta-analysis. Results: Twenty-one publications including 970 patients treated with surgical excision, steroids, abscess drainage, antibiotics, and observation were included. Surgery significantly i

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Harzallah, Ines, Josselin Rigaill, Nicolas Williet, Stephane Paul, and Xavier Roblin. "Golimumab pharmacokinetics in ulcerative colitis: a literature review." Therapeutic Advances in Gastroenterology 10, no. 1 (2016): 89–100. http://dx.doi.org/10.1177/1756283x16676194.

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Golimumab (GLM) is the latest anti-tumor necrosis factor (TNF) that gained its marketing license. Thanks to the PURSUIT induction and maintenance trials, it was approved for the treatment of ulcerative colitis (UC) in 2013. The other anti-TNF drugs available are infliximab and adalimumab. These two drugs have validated algorithms concerning prescription and therapeutic drug monitoring (TDM) but little is known about GLM. The available data on GLM’s exposure–response relationship in UC are from the PURSUIT trials and are recently published. The data reveal all the factors that may impact the ph

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Harkema, Sebastian S., Christopher J. Schultz, Emily B. Berndt, and Phillip M. Bitzer. "Geostationary Lightning Mapper Flash Characteristics of Electrified Snowfall Events." Weather and Forecasting 34, no. 5 (2019): 1571–85. http://dx.doi.org/10.1175/waf-d-19-0082.1.

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Abstract This study examines characteristics of lightning in snowfall events (i.e., thundersnow, TSSN) from the perspective of the Geostationary Lightning Mapper (GLM) and the National Environmental Satellite Data and Information Service (NESDIS) merged Snowfall Rate (mSFR) product. A thundersnow detection algorithm (TDA) was derived from the GLM and mSFR that resulted in a probability of detection (POD) of 66.7% when compared to the aviation routine weather report (METAR) reports of TSSN. However, using the TDA an additional 2175 lightning flashes within detected snowfall were identified that

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34

Hu, Junjun, Alexandre O. Fierro, Yunheng Wang, Jidong Gao, and Edward R. Mansell. "Exploring the Assimilation of GLM-Derived Water Vapor Mass in a Cycled 3DVAR Framework for the Short-Term Forecasts of High-Impact Convective Events." Monthly Weather Review 148, no. 3 (2020): 1005–28. http://dx.doi.org/10.1175/mwr-d-19-0198.1.

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Abstract The recent successful deployment of the Geostationary Lightning Mapper (GLM) on board the Geostationary Operational Environmental Satellite R series (GOES-16/17) provides nearly uniform spatiotemporal measurements of total lightning (intracloud plus cloud to ground) over the Americas and adjacent vast oceanic regions. This study evaluates the potential value of assimilating GLM-derived water vapor mixing ratio on short-term (≤6 h), cloud-scale (dx = 1.5 km) forecasts of five severe weather events over the Great Plains of the United States using a three-dimensional variational (3DVAR)

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35

Trujillo González, Julio, and Abraham De Sedas. "APLICACIÓN DEL MODELO LINEAL GENERALIZADO (GLM) EN LA BIOLOGÍA: UN ENFOQUE VERSÁTIL PARA EL ANÁLISIS DE DATOS COMPLEJOS." Revista Epicentro 2, no. 1 (2024): 12–17. http://dx.doi.org/10.61209/re.v2i1.39.

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El Modelo Lineal Generalizado (GLM) es una extensión de los modelos lineales que permite modelar relaciones entre variables con distribuciones no necesariamente normales. Los GLM son útiles en matemáticas aplicadas, permientiendo modelar y entender relaciones entre variables en situaciones complejas. En Latinoamérica, los GLM se han aplicado en campos como ecología, epidemiología y economía. Los GLM se componen de tres elementos: la distribución de la vsariable de respuesta, el predictor lineal y la función de enlace. Sin embargo, la interpretación de los resultados puede ser compleja y si los

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Tawkir, Mohammad. "Synthesis and Characterisation of Co(II) Cu(II) Zn(III) and La(II) Complexes of Standard Antidiabetic Drugs." Material Science Research India 11, no. 1 (2014): 51–61. http://dx.doi.org/10.13005/msri/110107.

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Metal complxes of Glimeperide drugs were prepared and characterized based on elemental analysis, FT-IR, Molar conductance and thermal analysis (TGA and DTG) technique. From elemental analysis data, the complexes were proposed to have general formulae (GLM)2Co2H2O, (GLM)2Cu, (GLM)2Zn,and (GLM)2La2H2O. The molar conductance data reveal that all the metal complexes are non-electrolytic, IR spectra shows that GLM are coordinated to metal ions in a neutral bidentate manner from the ESR spectra and XRD-spectra. It is found that the geometrical structures of these complexes are tetrahedral Cu(II) ,Zn

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Wu, Ruiyang, Haiyan Zhang, Yan Wang, et al. "A new stage for predicting the prognosis of granulomatous lobular mastitis." PLOS ONE 20, no. 3 (2025): e0319956. https://doi.org/10.1371/journal.pone.0319956.

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Introduction The prognosis of granulomatous lobular mastitis (GLM) had been poor, primarily due to the lack of a unified disease assessment standard. Objective The purpose of this cohort study was to establish a staging system for GLM to more accurately evaluate the prognosis of patients. Methods This study retrospectively collected data from 264 GLM patients who visited our hospital between January 2017 and December 2023. Through logistic regression analysis, factors associated with prognosis were identified, which served as the basis for creating a new staging system. Results Univariate and

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Yang, Zhaohui, Wei Zou, Haodong Liu, Ram P. Sharma, Mengtao Zhang, and Zhenhua Hu. "The Effect of Soil and Topography Factors on Larix gmelinii var. Principis-rupprechtii Forest Mortality and Capability of Decision Tree Binning Method and Generalized Linear Models in Predicting Tree Mortality." Forests 15, no. 12 (2024): 2060. http://dx.doi.org/10.3390/f15122060.

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Understanding the factors influencing individual tree mortality is essential for sustainable forest management, particularly for Prince Rupprech’s larch (Larix gmelinii var. Principis-rupprechtii) in North China’s natural forests. This study focused on 20 sample plots (20 × 20 m each) established in Shanxi Province, North China. This study compared three individual tree mortality models—Generalized Linear Model (GLM), Linear Discriminant Analysis (LDA), and Bayesian Generalized Linear Model (Bayesian GLM)—finding that both GLM and Bayesian GLM achieved approximately 0.87 validation accuracy on

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Tataris, Andreas, and Tristan van Leeuwen. "A Regularised Total Least Squares Approach for 1D Inverse Scattering." Mathematics 10, no. 2 (2022): 216. http://dx.doi.org/10.3390/math10020216.

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We study the inverse scattering problem for a Schrödinger operator related to a static wave operator with variable velocity, using the GLM (Gelfand–Levitan–Marchenko) integral equation. We assume to have noisy scattering data, and we derive a stability estimate for the error of the solution of the GLM integral equation by showing the invertibility of the GLM operator between suitable function spaces. To regularise the problem, we formulate a variational total least squares problem, and we show that, under certain regularity assumptions, the optimisation problem admits minimisers. Finally, we c

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Wang, Ye-sheng, Qi-wei Li, Lin Zhou, et al. "Granulomatous Lobular Mastitis Associated with Mycobacterium abscessus in South China: A Case Report and Review of the Literature." Case Reports in Infectious Diseases 2017 (2017): 1–4. http://dx.doi.org/10.1155/2017/7052908.

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Mycobacteria, which are known as rapidly growing bacteria, are pathogens that are responsible for cutaneous or subcutaneous infections that especially occur after injection, trauma, or surgery. In this report, we describe a species of Mycobacterium abscessus that was isolated from a breast abscess in a patient who was previously diagnosed with granulomatous lobular mastitis (GLM). This current case is the first ever presented case of GLM associated with M. abscessus documented in South China. The case presentation highlights the role of M. abscessus in GLM. The association of M. abscessus and

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MAHAJAN, G., M. S. GILL, and B. DOGRA. "Performance of basmati rice (Oryza sativa) through organic source of nutrients." Indian Journal of Agricultural Sciences 82, no. 5 (2012): 459–61. http://dx.doi.org/10.56093/ijas.v82i5.17813.

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Grain yield of basmati rice improved with organic source of nutrients as compared to recommended level of N and untreated control. GLM (5 tonnes/ha) + VC (2.5 tonnes/ha), GLM (10 tonnes/ha), neem cake (2.5 tonnes/ha) caused 20.2, 16.7 and 15.2% higher grain yield than recommended level of N respectively. So, it was concluded that GLM (10 tonnes/ ha) or GLM (5 tonnes/ha) + VC (2.5 tonnes/ha) or neem cake (2.5 tonnes/ha) are an ideal organic nutrition module/ dose to meet the nutritional requirement of basmati crop and is best alternative to inorganic fertilizer without significant loss in grain

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Schwartzman, S., A. Broadwell, A. Kivitz, et al. "SAT0120 UNITED STATES RHEUMATOLOGY PRACTICE-BASED REAL-WORLD EVIDENCE OF INFUSION REACTIONS IN RHEUMATOID ARTHRITIS PATIENTS TREATED WITH INTRAVENOUS GOLIMUMAB OR INFLIXIMAB: IMPACT OF PRIOR BIOLOGIC EXPOSURE AND METHOTREXATE UTILIZATION." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 994.1–994. http://dx.doi.org/10.1136/annrheumdis-2020-eular.2251.

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Background:AWARE (Comparative and Pragmatic Study of Golimumab IV Versus Infliximab in Rheumatoid Arthritis) is an ongoing Phase 4 comparator study designed to provide a real-world assessment of intravenous golimumab (GLM) and intravenous infliximab (IFX) in patients (pts) with rheumatoid arthritis (RA). The study recently reached its primary endpoint (comparison of overall incidence of infusion reactions in GLM- vs IFX-treated pts after 52 weeks) with the last patient reaching 52 weeks of treatment or discontinuation from the study. AWARE also records prior use of biologic medications and con

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Weinstein, C., M. Govoni, J. Lin, A. Meehan, and Z. Qureshi. "POS0947 LONG-TERM GOLIMUMAB PERSISTENCE: 5-YEAR TREATMENT RETENTION DATA POOLED FROM FIVE PHASE III CLINICAL TRIALS IN PATIENTS WITH RHEUMATOID ARTHRITIS, PSORIATIC ARTHRITIS, AND ANKYLOSING SPONDYLITIS." Annals of the Rheumatic Diseases 81, Suppl 1 (2022): 777.2–778. http://dx.doi.org/10.1136/annrheumdis-2022-eular.4385.

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BackgroundTumor necrosis factor-alpha inhibitors (TNFi), such as golimumab (GLM), are widely prescribed for treatment of chronic immune-mediated rheumatic diseases, such as rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ankylosing spondylitis (AS). Long-term persistence of GLM response in these diseases has previously been described from individual randomized controlled trials.1-5 While treatment retention is considered an important factor for disease progression, health care utilization, and overall quality of life, and has previously been described, the probability of retention on

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Johansson, T., C. Weinstein, A. MEEHAN, et al. "P688 Effect of golimumab induction therapy on histologic disease profile in patients with moderate to severe ulcerative colitis: Results from the randomised, placebo-controlled Phase 3 PURSUIT-SC trial." Journal of Crohn's and Colitis 14, Supplement_1 (2020): S560. http://dx.doi.org/10.1093/ecco-jcc/jjz203.816.

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Abstract Background Histologic improvement is an emerging goal in ulcerative colitis (UC) management. We previously demonstrated in the 6-week, multicentre, randomised, placebo-controlled, double-blind Program of Ulcerative colitis Research Studies Utilising an Investigational Treatment [PURSUIT-SC] Phase 3 trial that SC induction therapy with the tumour necrosis factor-α inhibitor, golimumab (GLM), led to statistically significant and clinically meaningful improvements in the signs and symptoms of UC compared with placebo, including clinical remission, mucosal healing, and improved health-rel

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Peterson, Michael, and Geoffrey Stano. "The Hazards Posed by Mesoscale Lightning Megaflashes." Earth Interactions 25, no. 1 (2021): 46–56. http://dx.doi.org/10.1175/ei-d-20-0016.1.

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Abstract Lightning megaflashes extending over >100-km distances have been observed by the Geostationary Lightning Mappers (GLMs) on NOAA’s R-series Geostationary Operational Environmental Satellites (GOES). The hazards posed by megaflashes are unclear, however, because of limitations in the GLM data. We address these by reprocessing GOES-16 GLM measurements from 1 January 2018 to 15 January 2020 and integrating them with Earth Networks Global Lightning Network (ENGLN) observations. ENGLN verified 194 880 GLM megaflashes as natural lightning. Of these, 127 479 flashes occurred following the

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Liu, Jifeng, Shurong Ma, Dawei Deng, et al. "Multi-Omics Profiling Reveals Glycerolipid Metabolism-Associated Molecular Subtypes and Identifies ALDH2 as a Prognostic Biomarker in Pancreatic Cancer." Metabolites 15, no. 3 (2025): 207. https://doi.org/10.3390/metabo15030207.

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Background: The reprogramming of lipid metabolism, especially glycerolipid metabolism (GLM), plays a key role in cancer progression and response to therapy. However, the role and molecular characterization of GLM in pancreatic cancer (PC) remain unclear. Methods: A pan-cancer analysis of glycerolipid metabolism-related genes (GMRGs) was first conducted to assess copy-number variants, single-nucleotide variations, methylation, and mRNA expression. Subsequently, GLM in PC was characterized using lipidomics, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomic analysis. A cluster an

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Lal Shrestha, Srijan. "Particulate Air Pollution and Daily Mortality in Kathmandu Valley, Nepal: Associations and Distributed Lag." Open Atmospheric Science Journal 6, no. 1 (2012): 62–70. http://dx.doi.org/10.2174/1874282301206010062.

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The distributed lag effect of ambient particulate air pollution that can be attributed to all cause mortality in Kathmandu valley, Nepal is estimated through generalized linear model (GLM) and generalized additive model (GAM) with autoregressive count dependent variable. Models are based upon daily time series data on mortality collected from the leading hospitals and exposure collected from the 6 six strategically dispersed fixed stations within the valley. The distributed lag effect is estimated by assigning appropriate weights governed by a mathematical model in which weights increased init

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Owiredu, Solomon Amoah, Shem Otoi Onyango, Eun-A. Song, Kwang-Il Kim, Byung-Yeob Kim, and Kyoung-Hoon Lee. "Enhancing Chub Mackerel Catch Per Unit Effort (CPUE) Standardization through High-Resolution Analysis of Korean Large Purse Seine Catch and Effort Using AIS Data." Sustainability 16, no. 3 (2024): 1307. http://dx.doi.org/10.3390/su16031307.

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Accurate determination of fishing effort from Automatic Identification System (AIS) data improves catch per unit effort (CPUE) estimation and precise spatial management. By combining AIS data with catch information, a weighted distribution method is applied to allocate catches across various fishing trajectories, accounting for temporal dynamics. A Generalized Linear Model (GLM) and Generalized Additive Model (GAM) were used to examine the influence of spatial–temporal and environmental variables (year, month, Sea Surface Temperature (SST), Sea Surface Salinity (SSS), current velocity, depth,

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Deodhar, A., S. Kafka, E. C. Hsia, et al. "POS0902 EFFICACY AND SAFETY OF INTRAVENOUS GOLIMUMAB IN ANKYLOSING SPONDYLITIS PATIENTS WITH EARLY VS LATE DISEASE THROUGH WEEK 52 OF GO-ALIVE STUDY." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 708–9. http://dx.doi.org/10.1136/annrheumdis-2021-eular.220.

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Background:The GO-ALIVE study assessed efficacy and safety of intravenous golimumab (IV GLM) in patients (pts) with ankylosing spondylitis (AS).1,2Objectives:In this post hoc analysis, we assessed IV GLM efficacy and safety in AS pts with early disease (ED) vs late disease (LD) based on pt-reported duration of inflammatory back pain (IBP).Methods:In this Phase 3, double-blind, placebo (PBO)-controlled trial, pts with active AS were randomized (1:1) to receive IV GLM 2 mg/kg at Week (W) 0, W4, then Q8W or PBO at W0, W4, and W12 with crossover to IV GLM at W16, W20, then Q8W through 52. The prim

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Omerašević, Amela, and Jasmina Selimović. "Classification Ratemaking Using Decision Tree in the Insurance Market of Bosnia and Herzegovina." South East European Journal of Economics and Business 15, no. 2 (2020): 124–39. http://dx.doi.org/10.2478/jeb-2020-0020.

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Abstract This paper investigates the impact of risk classification on life insurance ratemaking with particular reference to Bosnia and Herzegovina (BiH). The research is based on a sample of over eighteen thousand insurance policies for passenger vehicles collected over the period 2015-2020. In our empirical investigation we develop a standard risk model based on the application of Poisson Generalized linear models (GLM) for claims frequency estimate and Gamma GLM for claim severity estimate. The analysis reveals that GLM does not provide a reliable parameter estimates for Multi-level factor

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