Log in

Relevant bibliographies by topics / General linear model (GLM) / Journal articles

To see the other types of publications on this topic, follow the link: General linear model (GLM).

Journal articles on the topic 'General linear model (GLM)'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'General linear model (GLM).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Li, Yuanpeng, Wenge Yang, Yile Fan, and Yu Zhang. "Modeling and Analysis of Spike-Train Based on Poisson-GML." Journal of Physics: Conference Series 2173, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1742-6596/2173/1/012015.

Full text

Abstract:

Abstract Mathematical modeling is of great significance to the study of brain function. In this paper, an analysis method based on Poisson’s general linear model is adopted to model the brain impulse sequence. First, the ideas of Hodegkin-Hulex model, STA and Poisson’s general linear model are introduced. Secondly, the implementation of the general linear model is introduced. Finally, Poisson GLM Fit Spike-train is simulated and compared with Linear Gaussian-GLM. The AIC tradeoff estimation model fits well. The superiority of Poisson GLM Fit Spike-Train is demonstrated

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

3

Gong, Li, and Bo Jiang. "A matrix analysis of BLMBPs under a general linear model and its transformation." AIMS Mathematics 9, no. 1 (2023): 1840–60. http://dx.doi.org/10.3934/math.2024090.

Full text

Abstract:

<abstract><p>This paper is concerned with the relationships between best linear minimum biased predictors (BLMBPs) in the context of a general linear model (GLM) and its transformed general linear models (TGLMs). We shall establish a mathematical procedure by means of some exact and analytical tools in matrix theory that were developed in recent years. The coverage includes constructing a general vector composed of all unknown parameters in the context of a GLM and its TGLMs, deriving the exact expressions of the BLMBPs through the technical use of analytical solutions of a constra

APA, Harvard, Vancouver, ISO, and other styles

4

Rowe, Kenneth J. "The Commensurability of the General Linear Model in the Context of Educational and Psychosocial Research." Australian Journal of Education 33, no. 1 (1989): 41–52. http://dx.doi.org/10.1177/000494418903300104.

Full text

Abstract:

In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on substantive theory. The potential for accomplishing this goal is predicated, among other things, on the use of statistical models that are commensurate with the theoretical model specifications to which they are applied. This paper discusses the commensurability conditions applying to the general linear model (GLM) and examines some of the more serious limitations entailed by the widespread and often uncritical use of the GLM, particularly in exploratory educational and psychosocial ex post fac

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

7

Ohigashi, Kentaro. "An introductory guide to the statistical analysis—from general linear model to the generalized linear model—." Journal of Weed Science and Technology 55, no. 4 (2010): 268–74. http://dx.doi.org/10.3719/weed.55.268.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Marzjarani, Morteza. "A Comparison of a General Linear Model and the Ratio Estimator." International Journal of Statistics and Probability 9, no. 3 (2020): 54. http://dx.doi.org/10.5539/ijsp.v9n3p54.

Full text

Abstract:

In data analysis, selecting a proper statistical model is a challenging issue. Upon the selection, there are other important factors impacting the results. In this article, two statistical models, a General Linear Model (GLM) and the Ratio Estimator will be compared. Where applicable, some issues such as heteroscedasticity, outliers, etc. and the role they play in data analysis will be studied. For reducing the severity of heteroscedasticity, Weighted Least Square (WLS), Generalized Least Square (GLS), and Feasible Generalized Least Square (FGLS) will be deployed. Also, a revised version of FG

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

10

Østergaard, Jacob, Mark A. Kramer, and Uri T. Eden. "Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models." Neural Computation 30, no. 1 (2018): 125–48. http://dx.doi.org/10.1162/neco_a_01030.

Full text

Abstract:

To understand neural activity, two broad categories of models exist: statistical and dynamical. While statistical models possess rigorous methods for parameter estimation and goodness-of-fit assessment, dynamical models provide mechanistic insight. In general, these two categories of models are separately applied; understanding the relationships between these modeling approaches remains an area of active research. In this letter, we examine this relationship using simulation. To do so, we first generate spike train data from a well-known dynamical model, the Izhikevich neuron, with a noisy inp

APA, Harvard, Vancouver, ISO, and other styles

11

Wooldridge, Jeffrey M. "On the Limits of Glm for Specification Testing: A Comment on Gurmu and Trivedi." Econometric Theory 10, no. 2 (1994): 409–18. http://dx.doi.org/10.1017/s0266466600008471.

Full text

Abstract:

In this comment on Gurmu and Trivedi's “Variable Augmentation Specification Tests in the Linear Exponential Family,” I show how their generalized linear model (GLM) approach relates to other work in econometrics on specification testing in the linear exponential family. In addition to shedding light on the relationship between the statistics and econometrics literatures on testing in quasi-likelihood frameworks, this comparison reveals some important limitations of GLM as a general framework for devising specification tests.

APA, Harvard, Vancouver, ISO, and other styles

12

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 (2021): 399–405. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21060.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

13

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 (2013): 1084–101. http://dx.doi.org/10.2166/nh.2013.045.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

14

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

15

Skidmore, Susan Troncoso. "Teaching GLM Concepts: Explicating the Connections." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 42. http://dx.doi.org/10.2458/jmm.v6i2.18802.

Full text

Abstract:

The purpose of the present paper is to encourage textbook authors, quantitative instructors, curriculum writers, and software developers to move away from the use of isolated apparently disconnected analyses and instead move towards the use of the general linear model as a foundational framework for graduate level statistics training. It is argued that an understanding of modeling, simple linear equations, and commonly used analogous statistical terms will facilitate students understanding of frequently used parametric analyses. Additionally, this holistic approach will equip students with the

APA, Harvard, Vancouver, ISO, and other styles

16

Skidmore, Susan Troncoso. "Teaching GLM Concepts: Explicating the Connections." Journal of Methods and Measurement in the Social Sciences 6, no. 2 (2015): 42. http://dx.doi.org/10.2458/v6i2.18802.

Full text

Abstract:

The purpose of the present paper is to encourage textbook authors, quantitative instructors, curriculum writers, and software developers to move away from the use of isolated apparently disconnected analyses and instead move towards the use of the general linear model as a foundational framework for graduate level statistics training. It is argued that an understanding of modeling, simple linear equations, and commonly used analogous statistical terms will facilitate students understanding of frequently used parametric analyses. Additionally, this holistic approach will equip students with the

APA, Harvard, Vancouver, ISO, and other styles

17

Kafková, Silvie, and Lenka Křivánková. "Generalized Linear Models in Vehicle Insurance." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 62, no. 2 (2014): 383–88. http://dx.doi.org/10.11118/actaun201462020383.

Full text

Abstract:

Actuaries in insurance companies try to find the best model for an estimation of insurance premium. It depends on many risk factors, e.g. the car characteristics and the profile of the driver. In this paper, an analysis of the portfolio of vehicle insurance data using a generalized linear model (GLM) is performed. The main advantage of the approach presented in this article is that the GLMs are not limited by inflexible preconditions. Our aim is to predict the relation of annual claim frequency on given risk factors. Based on a large real-world sample of data from 57 410 vehicles, the present

APA, Harvard, Vancouver, ISO, and other styles

18

Pratiwi, Paramita, Rudju Winarsa, and Purwatiningsih Purwatiningsih. "TOKSISITAS EKSTRAK EKSTRAKSI SERBUK GERGAJI KAYU SENGON LAUT (Albizia falcataria L. Forberg) TERHADAP MORTALITAS Hypothenemus hampei Ferr. (COLEOPTERA: SCOLITYDAE)." Pro-Life 6, no. 2 (2019): 102–11. https://doi.org/10.33541/pro-life.v6i2.1016.

Full text

Abstract:

This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to determine the toxicity of methanol extract This study was conducted to dete

APA, Harvard, Vancouver, ISO, and other styles

19

Yang, R. C. "Towards understanding and use of mixed-model analysis of agricultural experiments." Canadian Journal of Plant Science 90, no. 5 (2010): 605–27. http://dx.doi.org/10.4141/cjps10049.

Full text

Abstract:

Despite the presence of both fixed and random effects in most agricultural experiments, many crop researchers have continued use of the conventional analysis of variance (ANOVA) model or general linear model (GLM) that provides a correct analysis only if all the effects are fixed. Ignoring or mistreating random effects may have inadvertently led to inappropriate analyses and thus to dubious conclusions appearing in the scientific literature. The objective of this paper is to provide a tutorial account of the mixed-model methodology and its applications to the analysis of agricultural experimen

APA, Harvard, Vancouver, ISO, and other styles

20

Lim, Nicole C., Victor M. Pedro, and Elena Oggero. "CORTICAL INTEGRATIVE THERAPY FOR THE TREATMENT OF MIGRAINES AND HEADACHES." Biomedical Sciences Instrumentation 57, no. 2 (2021): 168–76. http://dx.doi.org/10.34107/yhpn9422.04168.

Full text

Abstract:

Migraine is a common neurological disorder that is characterized by a host of symptoms including severe throbbing headaches. In this retrospective chart review, the effectiveness of Cortical Integrative Therapy (PedroCIT®) was examined in adults with migraines. Multivariate General Linear Model (M-GLM) was utilized to determine if the emotional, functional, and overall difficulties, as well as the intensity of pain experienced with headaches decreased from before to after PedroCIT® treatment in individuals with mild to complete disability resulting from headaches. Repeated Measures General Lin

APA, Harvard, Vancouver, ISO, and other styles

21

Long, Jiangping, Hui Lin, Guangxing Wang, Hua Sun, and Enping Yan. "Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images." Sensors 20, no. 14 (2020): 3957. http://dx.doi.org/10.3390/s20143957.

Full text

Abstract:

Increasing the area of planted forests is rather important for compensation the loss of natural forests and slowing down the global warming. Forest growing stem volume (GSV) is a key indicator for monitoring and evaluating the quality of planted forest. To improve the accuracy of planted forest GSV located in south China, four L-band ALOS PALSAR-2 quad-polarimetric synthetic aperture radar (SAR) images were acquired from June to September with short intervals. Polarimetric characteristics (un-fused and fused) derived by the Yamaguchi decomposition from time series SAR images with different int

APA, Harvard, Vancouver, ISO, and other styles

22

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

23

Hayati, Ma’rufah, and Reni Permatasari. "Comparison of Generalized Linear Model between Gamma and Tweedie Compound Response for Rainfall Prediction in Lampung Province." Asian Journal of Probability and Statistics 26, no. 1 (2024): 41–49. http://dx.doi.org/10.9734/ajpas/2024/v26i1583.

Full text

Abstract:

Rainfall plays a pivotal role in influencing agricultural production in Lampung province. The precision of rainfall predictions holds significant importance for enhancing agricultural yields in the region. One effective approach for modeling rainfall is Statistical Downscaling (SD), which employs statistical models to examine the correlation between large-scale (global) climatological data and small-scale (local) data. SD addresses the limitation of global scale data, such as the General Circulation Model (GCM), which lacks the resolution to directly forecast localized climate conditions like

APA, Harvard, Vancouver, ISO, and other styles

24

Jin, Mingwu, Rajesh Nandy, Tim Curran, and Dietmar Cordes. "Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data." International Journal of Biomedical Imaging 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/574971.

Full text

Abstract:

Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data. In its conventional formulation, CCA has several drawbacks that limit its usefulness in fMRI. A major drawback is that, unlike the general linear model (GLM), a test of general linear contrasts of the temporal regressors has not been incorporated into the CCA formalism. To overcome this drawback, a novel directional test statistic was derived using the equivalence of multivariate multiple regression (MVMR) and CCA. This extension will allow C

APA, Harvard, Vancouver, ISO, and other styles

25

Zheng, Yulu, Zheng Guo, Zhiyuan Wu, Jun Wen, and Haifeng Hou. "Comparisons of different statistical models for analyzing the effects of meteorological factors on COVID-19." Frigid Zone Medicine 3, no. 3 (2023): 161–66. http://dx.doi.org/10.2478/fzm-2023-0020.

Full text

Abstract:

Abstract Objective This general non-systematic review aimed to gather information on reported statistical models examing the effects of meteorological factors on coronavirus disease 2019 (COVID-19) and compare these models. Methods PubMed, Web of Science, and Google Scholar were searched for studies on “meteorological factors and COVID-19” published between January 1, 2020, and October 1, 2022. Results The most commonly used approaches for analyzing the association between meteorological factors and COVID-19 were the linear regression model (LRM), generalized linear model (GLM), generalized ad

APA, Harvard, Vancouver, ISO, and other styles

26

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

27

Xie, Shengkun, and Rebecca Luo. "Measuring Variable Importance in Generalized Linear Models for Modeling Size of Loss Distributions." Mathematics 10, no. 10 (2022): 1630. http://dx.doi.org/10.3390/math10101630.

Full text

Abstract:

Predictive modeling is a critical technique in many real-world applications, including auto insurance rate-making and the decision making of rate filings review for regulation purposes. It is also important in predicting financial and economic risk in business and economics. Unlike testing hypotheses in statistical inference, results obtained from predictive modeling serve as statistical evidence for the decision making of the underlying problem and discovering the functional relationship between the response variable and the predictors. As a result of this, the variable importance measures be

APA, Harvard, Vancouver, ISO, and other styles

28

Langenbucher, F. "Statistical analysis of stability data by means of general linear models (GLM)." Drug Development and Industrial Pharmacy 17, no. 2 (1991): 165–81. http://dx.doi.org/10.3109/03639049109043817.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Cui, James. "QIC Program and Model Selection in GEE Analyses." Stata Journal: Promoting communications on statistics and Stata 7, no. 2 (2007): 209–20. http://dx.doi.org/10.1177/1536867x0700700205.

Full text

Abstract:

The generalized estimating equation (GEE) approach is a widely used statistical method in the analysis of longitudinal data in clinical and epidemiological studies. It is an extension of the generalized linear model (GLM) method to correlated data such that valid standard errors of the parameter estimates can be drawn. Unlike the GLM method, which is based on the maximum likelihood theory for independent observations, the gee method is based on the quasilikelihood theory and no assumption is made about the distribution of response observations. Therefore, Akaike's information criterion, a wide

APA, Harvard, Vancouver, ISO, and other styles

30

Clohessy, Chantelle May, Warren Brettanny, Gary Sharp, and Frederik Vorster. "Evaluation of noise levels of two micro-wind turbines using a randomised experiment." Journal of Energy in Southern Africa 25, no. 1 (2014): 19–25. http://dx.doi.org/10.17159/2413-3051/2014/v25i1a2684.

Full text

Abstract:

One of the more contentious environmental concerns of wind turbines is the wind turbine noise. This study assesses the noise impacts of two micro-wind turbines on the environment by comparing the noise generated by these turbines to traditionally accepted surrounding sounds. The sound level data was collected using a randomised experiment and fitted using a general linear model (GLM). The GLM was used to determine the relationship between the sound level generated at a given site to the time of day, the wind speed, the wind direction and a fixed predetermined distance from the sound source.

APA, Harvard, Vancouver, ISO, and other styles

31

Wu, Dandan, Chunqi Chang, Jinfeng Yang, Jiutong Luo, Sha Xie, and Hui Li. "Habit-DisHabit Design with a Quadratic Equation: A Better Model of the Hemodynamic Changes in Preschoolers during the Dimension Change Card Sorting Task." Children 10, no. 9 (2023): 1574. http://dx.doi.org/10.3390/children10091574.

Full text

Abstract:

General linear modeling (GLM) has been widely employed to estimate the hemodynamic changes observed by functional near infrared spectroscopy (fNIRS) technology, which are found to be nonlinear rather than linear, however. Therefore, GLM might not be appropriate for modeling the hemodynamic changes evoked by cognitive processing in developmental neurocognitive studies. There is an urgent need to identify a better statistical model to fit into the nonlinear fNIRS data. This study addressed this need by developing a quadratic equation model to reanalyze the existing fNIRS data (N = 38, Mage = 5.0

APA, Harvard, Vancouver, ISO, and other styles

32

Acquah, Joseph, Damianus Kofi Owusu, and Abdulzeid Yen Anafo. "Application of Stacked Ensemble Techniques for Classifying Recurrent Head and Neck Squamous Cell Carcinoma Prognosis." Asian Journal of Research in Computer Science 17, no. 4 (2024): 77–94. http://dx.doi.org/10.9734/ajrcos/2024/v17i4431.

Full text

Abstract:

A feature selection technique should, in theory, be able to reliably extract pertinent features, identify non-linear feature interactions, scale linearly with the number of features and dimensions, and permit the integration of known sparsity structure. Identifying a machine learning algorithm that performs best given varied distributions may be quite challenging because not all machine learning algorithms are equally created, even though many of them suit very well for a given task. The heterogeneous ensemble feature selection (HETR-EFS) technique learns to combine the feature subsets provide

APA, Harvard, Vancouver, ISO, and other styles

33

Waldorp, Lourens. "Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI." International Journal of Biomedical Imaging 2009 (2009): 1–11. http://dx.doi.org/10.1155/2009/723912.

Full text

Abstract:

As a consequence of misspecification of the hemodynamic response and noise variance models, tests on general linear model coefficients are not valid. Robust estimation of the variance of the general linear model (GLM) coefficients in fMRI time series is therefore essential. In this paper an alternative method to estimate the variance of the GLM coefficients accurately is suggested and compared to other methods. The alternative, referred to as the sandwich, is based primarily on the fact that the time series are obtained from multiple exchangeable stimulus presentations. The analytic results sh

APA, Harvard, Vancouver, ISO, and other styles

34

XU, SHIZHONG. "Testing Hardy–Weinberg disequilibrium using the generalized linear model." Genetics Research 94, no. 6 (2012): 319–30. http://dx.doi.org/10.1017/s0016672312000511.

Full text

Abstract:

SummaryCurrent methods for detecting Hardy–Weinberg disequilibrium (HWD) only deal with one locus at a time. We developed a method that can jointly detect HWD for multiple loci. The method was developed under the generalized linear model (GLM) using the probit link function. When applied to a single locus, the new method is more powerful than the exact test. When applied to two or more loci, the method can reduce false positives caused by linkage disequilibrium (LD). We applied the method to 24 single nucleotide polymorphism (SNP) markers of a single human gene and eliminated several false pos

APA, Harvard, Vancouver, ISO, and other styles

35

Carlos-Júnior, Lélis A., Joel C. Creed, Rob Marrs, et al. "Generalized Linear Models outperform commonly used canonical analysis in estimating spatial structure of presence/absence data." PeerJ 8 (September 3, 2020): e9777. http://dx.doi.org/10.7717/peerj.9777.

Full text

Abstract:

Background Ecological communities tend to be spatially structured due to environmental gradients and/or spatially contagious processes such as growth, dispersion and species interactions. Data transformation followed by usage of algorithms such as Redundancy Analysis (RDA) is a fairly common approach in studies searching for spatial structure in ecological communities, despite recent suggestions advocating the use of Generalized Linear Models (GLMs). Here, we compared the performance of GLMs and RDA in describing spatial structure in ecological community composition data. We simulated realisti

APA, Harvard, Vancouver, ISO, and other styles

36

Mei, Yingying, Jiayi Li, Deping Xiang, and Jingxiong Zhang. "When a Generalized Linear Model Meets Bayesian Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method." Remote Sensing 13, no. 21 (2021): 4324. http://dx.doi.org/10.3390/rs13214324.

Full text

Abstract:

In China, ground-level ozone has shown an increasing trend and has become a serious ambient pollutant. An accurate spatiotemporal distribution of ground-level ozone concentrations (GOCs) is urgently needed. Generalized linear models (GLMs) and Bayesian maximum entropy (BME) models are practical for predicting GOCs. However, GLMs have limited capacity to capture temporal variations and can miss some short-term and regional patterns, while the performance of BME models may degrade in cases of sparse or imperfect monitoring networks. Thus, to predict nationwide 1 km monthly average GOCs for China

APA, Harvard, Vancouver, ISO, and other styles

37

Tan, Yuxuan, Zurui Zeng, Huanzhu Liang, et al. "Association between Perfluoroalkyl and Polyfluoroalkyl Substances and Women’s Infertility, NHANES 2013–2016." International Journal of Environmental Research and Public Health 19, no. 22 (2022): 15348. http://dx.doi.org/10.3390/ijerph192215348.

Full text

Abstract:

Perfluoroalkyl and polyfluoroalkyl substances (PFASs) are widely used in consumer products. However, the role of PFAS in infertility is still poorly understood. A total of 788 women from the 2013–2016 nationally representative NHANES were included to explore the association between PFAS exposure and self-reported infertility. Six PFAS, including PFDE, PFNA, PFHxS, n-PFOA, n-PFOS, and Sm-PFOS, were detected by online SPE-HPLC-TIS-MS/MS. We used the generalized linear regression model (GLM), generalized additive models (GAM), and Bayesian kernel machine regression (BKMR) to assess the single eff

APA, Harvard, Vancouver, ISO, and other styles

38

Noviana Pratiwi and Maria Jefin Paput. "Pemodelan Jumlah Penduduk Miskin di Jawa Timur dengan Generalized Linier Model." INSOLOGI: Jurnal Sains dan Teknologi 1, no. 5 (2022): 491–97. http://dx.doi.org/10.55123/insologi.v1i5.788.

Full text

Abstract:

Poverty as a development issue is an important thing to pay attention. Therefore, it is necessary to analyze to prevent an increase in the number of poor people in an area, one of which is by considering the things that affect poverty estimates and knowing the model of the number of poor people that can later be used as predictions. East Java is the region in Indonesia with the highest population in Indonesia in 2019. One way to find out the influencing factors and at the same time to make a model of the number of poor people in East Java is by modeling with the Generalized Linear Model (GLM)

APA, Harvard, Vancouver, ISO, and other styles

39

Fernandes, Adji Achmad Rinaldo, and Sulis Harmamik. "General Linear Mixed Model (GLMM) Bi-response Applications on Diabetes Mellitus Patients Response." Natural-B 1, no. 2 (2011): 99–101. http://dx.doi.org/10.21776/ub.natural-b.2011.001.02.1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Fox, Jean-Paul, Duco Veen, and Konrad Klotzke. "Generalized Linear Mixed Models for Randomized Responses." Methodology 15, no. 1 (2019): 1–18. http://dx.doi.org/10.1027/1614-2241/a000153.

Full text

Abstract:

Abstract. Response bias (nonresponse and social desirability bias) is one of the main concerns when asking sensitive questions about behavior and attitudes. Self-reports on sensitive issues as in health research (e.g., drug and alcohol abuse), and social and behavioral sciences (e.g., attitudes against refugees, academic cheating) can be expected to be subject to considerable misreporting. To diminish misreporting on self-reports, indirect questioning techniques have been proposed such as the randomized response techniques. The randomized response techniques avoid a direct link between individ

APA, Harvard, Vancouver, ISO, and other styles

41

Wasilewska-Błaszczyk, Monika, and Jacek Mucha. "Application of General Linear Models (GLM) to Assess Nodule Abundance Based on a Photographic Survey (Case Study from IOM Area, Pacific Ocean)." Minerals 11, no. 4 (2021): 427. http://dx.doi.org/10.3390/min11040427.

Full text

Abstract:

The success of the future exploitation of the Pacific polymetallic nodule deposits depends on an accurate estimation of their resources, especially in small batches, scheduled for extraction in the short term. The estimation based only on the results of direct seafloor sampling using box corers is burdened with a large error due to the long sampling interval and high variability of the nodule abundance. Therefore, estimations should take into account the results of bottom photograph analyses performed systematically and in large numbers along the course of a research vessel. For photographs ta

APA, Harvard, Vancouver, ISO, and other styles

42

Osocha, Przemysław, Robert Ulewicz, Paweł Szataniak, et al. "The Empirical Assessment of the Convergence Rate for the Bootstrap Estimation in Design of Experiment Approach." Solid State Phenomena 235 (July 2015): 16–23. http://dx.doi.org/10.4028/www.scientific.net/ssp.235.16.

Full text

Abstract:

Design of experiment (DoE) is a set of practical recipes and theoretical assumptions leading to the optimization of the technological process and/or the stabilization of its output quality. Practically, all the DoE approaches assume the normality of a random noise and the quasi-linearity of models taken from the general linear model (GLM) class. It allows to use traditional least-square methodology to identification of a model parameters and their confidence intervals. It gives usually sufficient results but completely fails if the model is not from GLM class or a random noise has not a normal

APA, Harvard, Vancouver, ISO, and other styles

43

Faris, Richard, and Neil Paton. "121 Statistical Analysis Method Counts for Sow Count Data Responses." Journal of Animal Science 99, Supplement_1 (2021): 56. http://dx.doi.org/10.1093/jas/skab054.094.

Full text

Abstract:

Abstract Several statistical analysis methods are typically employed to analyze sow reproductive count data. The research objective was to compare analysis methods of pig birth counts to determine their robustness in identifying simulated treatment differences. Counts of stillborn (SB), born alive (BA) and sow parity differences were simulated using descriptive statistics from a sow farm. Different scenarios were tested: 1) Effect of a 0.5, 1.0, 1.5, and 2.0 percentage point change in treatment difference in SB and BA and, 2) Replicates of 20 to 200 experimental units (EU) in increments of 20

APA, Harvard, Vancouver, ISO, and other styles

44

Pulunggono, Heru Bagus, Yusuf Azmi Madani, Lina Lathifah Nurazizah, and Moh Zulfajrin. "Prediction and Interpretation of Total N and Its Key Drivers in Cultivated Tropical Peat using Machine Learning and Game Theory." CELEBES Agricultural 4, no. 1 (2023): 46–68. http://dx.doi.org/10.52045/jca.v4i1.592.

Full text

Abstract:

Currently, there is a growing interest among research communities in the development of statistical learning-based pedotransfer functions/PtFs to predict mineral soil nutrients; however, similar studies in peatlands are relatively rare. Moreover, extracting meaningful information from these ‘black-box’ models is crucial, particularly concerning their algorithmic complexity and the non-linear nature of the soil covariate interrelationships. This study employed the Pulunggono (2022a) dataset and the bootstrapping method, to (1) develop and evaluate seven PtF models, including both general linear

APA, Harvard, Vancouver, ISO, and other styles

45

Beggs, Clive B., Simon J. Shepherd, Pietro Cecconi, and Maria Marcella Lagana. "Predicting the Aqueductal Cerebrospinal Fluid Pulse: A Statistical Approach." Applied Sciences 9, no. 10 (2019): 2131. http://dx.doi.org/10.3390/app9102131.

Full text

Abstract:

The cerebrospinal fluid (CSF) pulse in the Aqueduct of Sylvius (aCSF pulse) is often used to evaluate structural changes in the brain. Here we present a novel application of the general linear model (GLM) to predict the motion of the aCSF pulse. MR venography was performed on 13 healthy adults (9 female and 4 males—mean age = 33.2 years). Flow data was acquired from the arterial, venous and CSF vessels in the neck (C2/C3 level) and from the AoS. Regression analysis was undertaken to predict the motion of the aCSF pulse using the cervical flow rates as predictor variables. The relative contribu

APA, Harvard, Vancouver, ISO, and other styles

46

Szöcs, Eduard, and Ralf B. Schäfer. "Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology." Environmental Science and Pollution Research 22, no. 18 (2015): 13990–99. https://doi.org/10.1007/s11356-015-4579-3.

Full text

Abstract:

Ecotoxicologists often encounter count and proportion data that are rarely normally distributed. To meet the assumptions of the linear model such data are usually transformed or non-parametric methods are used if the transformed data still violate the assumptions. Generalised Linear Models (GLM) allow to directly model such data, without the need for transformation. Here, we compare the performance of two parametric methods, i.e., (1) the linear model (assuming normality of transformed data), (2) GLMs (assuming a Poisson, negative binomial, or binomially distibuted response), and (3) non-param

APA, Harvard, Vancouver, ISO, and other styles

47

Mohammed, Safwan, Ali Al-Ebraheem, Imre J. Holb, et al. "Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression." Water 12, no. 9 (2020): 2529. http://dx.doi.org/10.3390/w12092529.

Full text

Abstract:

The Mediterranean part of Syria is affected by soil water erosion due to poor land management. Within this context, the main aim of this research was to track soil erosion and runoff after each rainy storm between September 2013 and April 2014 (rainy season), on two slopes with different gradients (4.7%; 10.3%), under three soil cover types (SCTs): bare soil (BS), metal sieve cover (MC), and strip cropping (SC), in Central Syria. Two statistical multivariate models, the general linear model (GLM), and the random forest regression (RFR) were applied to reveal the importance of SCTs. Our results

APA, Harvard, Vancouver, ISO, and other styles

48

Zhang, Yuzhou, Guang Gao, Lidan Shou, Dun Wu, Guangping Fang, and Hua Sun. "Developing Statistical Modellings to Investigate the Internal Drivers for the Trend of Output Values in the Manufacturing Industry: Evidence from Chinese Enterprises." Proceedings of Business and Economic Studies 4, no. 5 (2021): 52–58. http://dx.doi.org/10.26689/pbes.v4i5.2494.

Full text

Abstract:

The manufacturing industry is an important pillar of the national economy. It is of vital importance to develop statistical modellings in order to quantify the relationship between potential internal drivers and the trend of output values in the manufacturing industry. However, only a few statistical modellings have been established to investigate such associations. This study developed the correlation coefficient model and generalized linear model (GLM) to measure the single and interactive effects of the internal drivers on the changes of the output values. For the GLM, different predictive

APA, Harvard, Vancouver, ISO, and other styles

49

Sihombing, Pardomuan Robinson. "COMPARISON OF GLM, GLMM AND GEE POISSON MATHEMATICAL MODELING PERFORMANCE (Case Study: Number of Pulmonary Tuberculosis Patients in Indonesia in 2019-2021)." Jurnal TAMBORA 6, no. 3 (2022): 102–6. http://dx.doi.org/10.36761/jt.v6i3.2081.

Full text

Abstract:

This study aims to compare the performance of data modeling with Poisson regression with Generalized Linear Model (GLM), Generalized Linear Mixed Model (GLMM), and Generalized Estimating Equation (GEE) modeling. The case study used is a factor that affects the number of Pulmonary Tuberculosis cases in Indonesia with panel data. Based on the AIC criteria, the smallest BIC and RMSE GLMM models perform better than GLM and GEE. In addition, GLMM modeling also has a coefficient of determination value. The results showed that the percentage of the population smoking and the percentage of Unmet Keseh

APA, Harvard, Vancouver, ISO, and other styles

50

Safeer, Sajid, Rahmatullah Qureshi, Shakeel Sabir, Hassan Ubaid ul, and Sheikh Muhammad Farhan Anwar. "A multivariate vegetation analysis of Mahasheer National Park, Azad Jammu and Kashmir." Silva Balcanica 25, no. (1) (2024): 59–71. https://doi.org/10.3897/silvabalcanica.25.e116361.

Full text

Abstract:

This research work targets to evaluate the floristic composition of Mahseer National Park, Azad Jammu and Kashmir (AJK). Field data was recorded from fifteen different sites. The Quadrat method was used for vegetation sampling while the exact location of each site, altitude, exposure and geographical coordinates were documented by using geographical positioning system (GPS). To analyze the significance of environmental variables, multivariate statistical analysis was carried out by using two-way clustering, canonical correspondence analysis (CCA) and general linear model (GLM) response curve a

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!