Results 21 to 30 of about 91,736 (294)
Shui kexue jinzhan, 2022 The intra-annual precipitation of the headwater catchment of the Yellow River basin (HCYRB) occurs in a concentrated manner, which leads to a high flood risk.
Wenzhuo WANG +5 more
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Bayesian estimators in uncertain nested error regression models
Journal of Multivariate Analysis, 2017 Nested error regression models are useful tools for analysis of grouped data, especially in the case of small area estimation. This paper suggests a nested error regression model using uncertain random effects in which the random effect in each area is expressed as a mixture of a normal distribution and a positive mass at $0$.
Shonosuke Sugasawa, Tatsuya Kubokawa
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On non-negative estimation of variance components in mixed linear models
Journal of Advanced Research, 2016 Alternative estimators have been derived for estimating the variance components according to Iterative Almost Unbiased Estimation (IAUE). As a result two modified IAUEs are introduced.
Heba A. El Leithy +2 more
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GNAQPMS-Hg v1.0, a global nested atmospheric mercury transport model: model description, evaluation and application to trans-boundary transport of Chinese anthropogenic emissions [PDF]
Geoscientific Model Development, 2015 Atmospheric mercury (Hg) is a toxic pollutant and can be transported over the whole globe due to its long lifetime in the atmosphere. For the purpose of assessing Hg hemispheric transport and better characterizing regional Hg pollution, a global nested ...
H. S. Chen +7 more
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On testing random effects in the nested-error regression model
Communications in Statistics - Simulation and Computation, 2017 We derive an exact F-test for random effects in the nested-error regression model. The derivation utilizes a matrix decomposition that offers a transformation of the response vector into two indepe...
Hall, Peter, Maiti, Tapabrata
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Novel metrics for growth model selection
Emerging Themes in Epidemiology, 2018 Background Literature surrounding the statistical modeling of childhood growth data involves a diverse set of potential models from which investigators can choose.
Matthew R. Grigsby +6 more
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Bayesian system identification for structures considering spatial and temporal correlation
Data-Centric Engineering, 2023 The decreasing cost and improved sensor and monitoring system technology (e.g., fiber optics and strain gauges) have led to more measurements in close proximity to each other.
Ioannis Koune +3 more
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Partitioning Error Spaces in Linear Models (Error Contrasts) [PDF]
The Egyptian Statistical Journal, 1995 This paper introduces the general idea of error contrasts, their properties, and uses. Error contrasts is a way for partitioning the error space and depend on it's canonical representation, that is the vector space of linear unbiased estimators of zero ...
El-Houssainy Rady
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UNBALANCED NESTED COMPONENT ERROR MODEL FOR ESTIMATING PEST DAMAGE FUNCTIONS [PDF]
, 2017 A recently developed nested error component model for unbalanced panel data is used to estimate insect damage functions. The model estimates the separate random effects for location and year on the variability of yield loss and has smaller standard ...
Yang, Juan, Mitchell, Paul D.
core +1 more source
Advances in Mechanical Engineering, 2015 This paper presents a novel decentralized integral nested sliding mode control approach for a time varying constrained modular and reconfigurable robot (MRR) and addresses the problem of joint trajectory tracking control of the MRR with strongly coupled ...
Bo Dong, Yuanchun Li
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