Results 11 to 20 of about 68,121 (251)
Forecasting Prorocentrum minimum blooms in the Chesapeake Bay using empirical habitat models
Frontiers in Marine Science, 2023 Aquaculturists, local beach managers, and other stakeholders require forecasts of harmful biotic events, so they can assess and respond to health threats when harmful algal blooms (HABs) are present.
Dante M. L. Horemans +4 more
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BMC Medical Research Methodology, 2017 Background The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) models that addressed the random ...
Jie Pu, Di Fang, Jeffrey R. Wilson
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Analysis of neonatal clinical trials with twin births
BMC Medical Research Methodology, 2009 Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L +2 more
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Evaluating an Automated Number Series Item Generator Using Linear Logistic Test Models [PDF]
Journal of Intelligence, 2018 This study investigates the item properties of a newly developed Automatic Number Series Item Generator (ANSIG). The foundation of the ANSIG is based on five hypothesised cognitive operators. Thirteen item models were developed using the numGen R package and eleven were evaluated in this study.
Bao Loe +3 more
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A generalized Liu-type estimator for logistic partial linear regression model with multicollinearity
AIMS Mathematics, 2023 <abstract><p>This paper is concerned with proposing a generalized Liu-type estimator (GLTE) to address the multicollinearity problem of explanatory variable of the linear part in the logistic partially linear regression model. Using the profile likelihood method, we propose the GLTE as a general class of Liu-type estimator, which includes ...
Dayang Dai, Dabuxilatu Wang
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K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model
Mathematics, 2023 Multicollinearity negatively affects the efficiency of the maximum likelihood estimator (MLE) in both the linear and generalized linear models. The Kibria and Lukman estimator (KLE) was developed as an alternative to the MLE to handle multicollinearity ...
Adewale F. Lukman +5 more
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Locally A-optimal Design for Poisson Regression Model with Two Parameters [PDF]
The Egyptian Statistical JournalGeneralized linear model (GLM) which is regarded as an extension of standard linear regression in that it allows continuous or discrete data from one-parameter exponential family distributions to be paired with explanatory variables using appropriate ...
Tofan Biswal
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Applied Sciences, 2023 The current research has aimed to investigate and develop machine-learning approaches by using the data in the dataset to be applied to classify location-based social network data and predict user activities based on the nature of various locations (such
Naimat Ullah Khan +4 more
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Journal of Applied Animal Research, 2018 The aim of this study was to compare alternative models for the genetic evaluation of heifer fertility in Simmental–Simbrah cattle. The analyses were conducted using a database with 37,390 female birth information recorded from 1984 to 2007, and 59,018 ...
J. J. Baeza-Rodríguez +3 more
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mplot: An R Package for Graphical Model Stability and Variable Selection Procedures
Journal of Statistical Software, 2018 The mplot package provides an easy to use implementation of model stability and variable inclusion plots (Müller and Welsh 2010; Murray, Heritier, and Müller 2013) as well as the adaptive fence (Jiang, Rao, Gu, and Nguyen 2008; Jiang, Nguyen, and Rao ...
Garth Tarr +2 more
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