Consistency and inconsistency in network meta‐analysis: model estimation using multivariate meta‐regression [PDF]
Research Synthesis Methods, 2012 Network meta‐analysis (multiple treatments meta‐analysis, mixed treatment comparisons) attempts to make the best use of a set of studies comparing more than two treatments. However, it is important to assess whether a body of evidence is consistent or inconsistent.
White, Ian R +3 more
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Simulated Maximum Likelihood for Double-Bounded Referendum Models
Journal of Agricultural and Resource Economics, 2001 Although joint estimation of referendum-type contingent value (CV) survey responses using maximum-likelihood models is preferred to single-equation estimation, it has been largely disregarded because estimation involves evaluating multivariate normal ...
Mary C. Riddel
doaj +1 more source
Multivariate analysis to estimate the erodibility of Latosols in Alagoas, Brazil
Diversitas Journal, 2023 Soil erodibility is one of the most important factors in understanding the erosive process. In view of the need to explore methods for determining the values of erodibility by simulated rainfall, the objective was to evaluate, through the tools of multivariate statistics, the erodibility of Latosols from Alagoas influenced by the physical, chemical and
Felipe Ferreira Martins +5 more
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Archetypal analysis: Contributions for estimating boundary cases in multivariate accommodation problem [PDF]
Computers & Industrial Engineering, 2013 The use of archetypal analysis is proposed in order to determine a set of representative cases that entail a certain percentage of the population, in the accommodation problem. A well-known anthropometric database has been used in order to compare our methodology with the common used PCA- approach, showing the advantages of our methodology: the level ...
Epifanio, Irene +2 more
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Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative [PDF]
Royal Society Open Science, 2020 Leaf nitrogen concentration (LNC) is a major indicator in the estimation of the crop growth status which has been diffusely applied in remote sensing. Thus, it is important to accurately obtain LNC by using passive or active technology.
Jian Yang +4 more
doaj +1 more source
Extraction of the underlying structure of systematic risk from non-Gaussian multivariate financial time series using independent component analysis: Evidence from the Mexican stock exchange [PDF]
, 2018 Regarding the problems related to multivariate non-Gaussianity of financial time series, i.e., unreliable results in extraction of underlying risk factors -via Principal Component Analysis or Factor Analysis-, we use Independent Component Analysis (ICA ...
Ladrón de Guevara Cortés, Rogelio +2 more
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Some recent developments on functional data analysis* [PDF]
ESAIM: Proceedings and SurveysRecent contributions to functional data analysis are presented. Various problems are considered including the definition of the barycenter of multivariate functional data and the adaptive nonparametric estimation in the functional linear model with ...
Cugliari Jairo +3 more
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Customized design of hearing aids using statistical shape learning [PDF]
, 2008 3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient’s anatomy.
K. Zhou +6 more
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Remote Sensing, 2019 Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be ...
Mohsen Mirzaei +4 more
doaj +1 more source
Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes
IEEE AccessMultivariate spatio-temporal point patterns have become increasingly common due to the advancement of technology for massive data collection. Parameter estimation is vital for understanding the distributional patterns within such data.
Achmad Choiruddin +4 more
doaj +1 more source