Results 11 to 20 of about 91,736 (294)
Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]
Journal of Multivariate Analysis, 2009 Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects. Such parameters are of particular interest in prediction problems where the dependent variable is the logarithm of the variable that is the object of ...
Molina, Isabel
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Multilevel IRT Modeling in Practice with the Package mlirt
Journal of Statistical Software, 2007 Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error.
Jean-Paul Fox
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Simultaneous estimation under nested error regression model
, 2004 Zhang (2003) proposed a frequentist method of simultaneous small area estimation under hierarchical models. This can be useful when various ensemble characteristics of the small area parameters are of interest in addition to area-specific prediction.
Zhang, Li-Chun
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Hybrid Look-Up-Tables Based Behavioral Model for Dynamic Nonlinear Power Amplifiers
IEEE Access, 2020 A new look-up table based behavioral model for dynamic nonlinear power amplifiers is proposed. This model labelled as hybrid look-up tables model is based on the combination of a memoryless look-up table sub-model and a nested look-up tables one.
Ahmad I. Dalbah +2 more
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Buildings, 2023 This paper proposes a Bayesian RC-frame finite element model updating (FEMU) and damage state estimation approach using the nonlinear acceleration time history based on nested sampling.
Kunyang Wang +2 more
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A shift in strategy or “error”? Strategy classification over multiple stochastic specifications [PDF]
Judgment and Decision Making, 2011 We present a classification methodology that jointly assigns to a decision maker a best-fitting decision strategy for a set of choice data as well as a best-fitting stochastic specification of that decision strategy.
Clintin P. Davis-Stober +3 more
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BMC Medical Research Methodology, 2018 Background In individually randomised trials we might expect interventions delivered in groups or by care providers to result in clustering of outcomes for participants treated in the same group or by the same care provider.
Jane Candlish +5 more
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Advances in Mechanical Engineering, 2021 In order to solve the low coupling displacement and high crosstalk error of multi-dimensional micro-displacement stage, a two-dimensional micro-displacement stage based on flexure hinges and piezoelectric ceramics is designed and analyzed.
Tao Jin +5 more
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Prediction of Clinical Outcomes in Acute Ischaemic Stroke Patients: A Comparative Study
Frontiers in Neurology, 2021 Background: Clinical stroke rehabilitation decision making relies on multi-modal data, including imaging and other clinical assessments. However, most previously described methods for predicting long-term stroke outcomes do not make use of the full multi-
Deepthi Rajashekar +16 more
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A Nested Attention Neural Hybrid Model for Grammatical Error Correction [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model with nested attention layers for GEC.
Jianshu Ji +5 more
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