Results 11 to 20 of about 621,525 (301)
Mathematics, 2022 The estimation of the covariance matrix is an important topic in the field of multivariate statistical analysis. In this paper, we propose a new estimator, which is a convex combination of the linear shrinkage estimation and the rotation-invariant ...
Yan Zhang +3 more
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A Method of Moments Estimator for Random Effect Multivariate Meta‐Analysis [PDF]
Biometrics, 2012 SummaryMeta‐analysis is a powerful approach to combine evidence from multiple studies to make inference about one or more parameters of interest, such as regression coefficients. The validity of the fixed effect model meta‐analysis depends on the underlying assumption that all studies in the meta‐analysis share the same effect size.
Chen, Han +2 more
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Mathematics, 2022 Efficiency mapping has an important place in examining the maximum efficiency distribution as well as the energy consumption of designed electric motors at maximum torque and speed.
Oğuz Mısır, Mehmet Akar
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Latent Class Regression Utilizing Fuzzy Clusterwise Generalized Structured Component Analysis
Mathematics, 2020 Latent class analysis (LCA) has been applied in many research areas to disentangle the heterogeneity of a population. Despite its popularity, its estimation method is limited to maximum likelihood estimation (MLE), which requires large samples to satisfy
Seohee Park, Seongeun Kim, Ji Hoon Ryoo
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PLoS ONE, 2022 BackgroundStature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups.
Hasanur Bin Khazri +2 more
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Efficient Density Estimation for High-Dimensional Data
IEEE Access, 2022 Multivariate density estimation methods typically work well in low dimensions and their extension to data analytics in high dimensions domain has proven challenging. For density estimation in high-dimensional big data domains, the non-parametric Bayesian
Aref Majdara, Saeid Nooshabadi
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PLoS ONE, 2018 To understand information representation in human brain activity, it is important to investigate its fine spatial patterns at high temporal resolution. One possible approach is to use source estimation of magnetoencephalography (MEG) signals.
Masashi Sato +3 more
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Agronomy, 2022 The successful estimation of soil organic matter (SOM) and soil total nitrogen (TN) contents with mid-infrared (MIR) reflectance spectroscopy depends on selecting appropriate variable selection techniques and multivariate methods for regression analysis.
Hong Li +5 more
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A multivariate non-parametric kernel estimator for global sensitivity analysis [PDF]
Communications in Statistics - Simulation and Computation, 2017 ABSTRACTThe fact of estimating how a model output is influenced by the variations of inputs has become an important problematic in reliability and sensitivity analysis. This article is interested in estimating sensitivity indices useful to quantify the contribution of inputs to the variance of model output.
Lamia Djerroud +2 more
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Journal of Statistical Software, 2014 R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal mixture models for possibly interval-censored data.
Arnot Komárek, Lenka Komárková
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