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Modified Maximum Likelihood Estimation of the Inverse Weibull Model
Axioms, 2023 The inverse Weibull model is a simple and flexible model used for survival analysis, reliability theory, and other scientific fields. The main problem in this context is the estimation of the model parameters.
Mohamed Kayid, Mashael A. Alshehri
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A New Kibria-Lukman-Type Estimator for Poisson Regression Models
Acta InfologicaOne of the most important models for the analysis of count data is the Poisson Regression Model (PRM). The parameter estimates of the PRM are obtained by the Maximum Likelihood Estimator (MLE).
Cemal Çiçek, Kadri Ulaş Akay
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Some Estimation Properties of the Random Coefficients Regression [PDF]
The Egyptian Statistical Journal, 2000 Random coefficients regression (RCR) model provides a useful analysis for Reiss Agricultural experiments. paper, we some cross section and time series data in Economics, and growth curve data in usefully properties of using the RCR estimator.
Ahmed Youssef
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Estimating conflict losses and reporting biases
Proceedings of the National Academy of Sciences, 2023 Determining the number of casualties and fatalities suffered in militarized conflicts is important for conflict measurement, forecasting, and accountability. However, given the nature of conflict, reliable statistics on casualties are rare. Countries or political actors involved in conflicts have incentives to hide or manipulate these numbers, while ...
Radford, Benjamin J. +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
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IEEE Access, 2021 A situation in which an image is combined with multiple images to form interferometric pairs is often observed in small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) deformation inversion, and this situation leads to a near linear
Min Zhai +6 more
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Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
Pediatric Blood &Cancer, EarlyView.ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
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AlgorithmsPoisson regression is used to model count response variables. The method has a strict assumption that the mean and variance of the response variable are equal, while, in practice, the case of overdispersion is common.
Rasha A. Farghali +4 more
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Estimators in simple random sampling: Searls approach [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2013 This paper investigates four new estimators in simple random sampling: biased sample mean, ratio estimator and two linear regression estimators, using known coefficients of variation of the study variable and auxiliary variable. The properties of the new
Jirawan Jitthavech +1 more
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Human biases in body measurement estimation [PDF]
EPJ Data Science, 2020 AbstractBody measurements, including weight and height, are key indicators of health. Being able to visually assess body measurements reliably is a step towards increased awareness of overweight and obesity and is thus important for public health. Nevertheless it is currently not well understood how accurately humans can assess weight and height from ...
Kirill Martynov +2 more
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