Results 251 to 260 of about 168,974 (306)
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Whittle estimation in multivariate CCC-GARCH processes
Communications in Statistics - Theory and Methods, 2018In this paper, we explore some probabilistic properties and statistical analysis of multivariate constant conditional correlation GARCH (CCC-GARCH for short) model.
A. Bibi, Karima Kimouche
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In Analysis, 2021
We developed a multivariate curve resolution (MCR) calculation combined with the mapping of cosine similarity (cos-s) for estimating multiple mixture spectra of chemicals. The cos-s map was obtained by calculating the similarities of the variation of the
Yuya Nagai, K. Katayama
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We developed a multivariate curve resolution (MCR) calculation combined with the mapping of cosine similarity (cos-s) for estimating multiple mixture spectra of chemicals. The cos-s map was obtained by calculating the similarities of the variation of the
Yuya Nagai, K. Katayama
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Estimation methods for multivariate Tobit confirmatory factor analysis
Computational Statistics & Data Analysis, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Denise Reis Costa +3 more
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Investigating the Environmental Kuznets Curve hypothesis in Kenya: A multivariate analysis
Renewable & Sustainable Energy Reviews, 2020In the quest towards a cleaner environment via the mitigation of climate change and its impact, this study examined the validity of the environmental Kuznets curve (EKC) hypothesis, energy efficiency and energy consumption indicators in Kenya.
S. Sarkodie, I. Ozturk
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Statistics in Medicine
Alzheimer's disease (AD) is a complex and progressive neurodegenerative disorder, characterized by diverse cognitive and functional impairments that manifest heterogeneously across individuals, domains, and time.
Yuanyuan Guo +3 more
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Alzheimer's disease (AD) is a complex and progressive neurodegenerative disorder, characterized by diverse cognitive and functional impairments that manifest heterogeneously across individuals, domains, and time.
Yuanyuan Guo +3 more
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Performance analysis of state estimators for a multivariable process
2017 International Conference on Nascent Technologies in Engineering (ICNTE), 2017State estimation techniques play a great role in providing insight into plant dynamics by providing information about the quality variables in the system. For multivariable systems, typically few variables are directly measured, while others can be estimated.
Anjali Deshpande +2 more
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Bayes Estimate of the Noncentrality Parameter in Multivariate Analysis
Communications in Statistics - Simulation and Computation, 1974Madansky and Olkin (1969) derived approximate confidence intervals for the parameter,μ∑-1μ This paper deals with the estimation of the parameter using a Bayes technique. The general case with parameter Ω=∑-1MN is also considered and Bayes estimates of Ω and tr j Ω derived.
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Performance analysis of the AM-SG parameter estimation for multivariable systems
Applied Mathematics and Computation, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heqiang Han +4 more
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Quality of evidence for multivariate analysis to keep stable estimates
International Journal of Cardiology, 2013De Felice et al. reported clinical outcome in patients treated with abciximab [1]. I have some concern on their study outcome from a statistical viewpoint. First, they detected 35 patients with major adverse cardiac events for 30 days (15 patientswithout abciximab and 20 patients with abciximab).
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Spectroscopic Estimation of Dapoxetine HCl using Multivariate Analysis
Research Journal of Pharmacy and Technology, 2020A sensitive and exact UV spectroscopic technique with a multilinear regression technique for assurance for Dapoxetine HCL in the drug dosage form. This technique relies upon the utilization of the linear regression equations by utilizing the interconnection between absorbance and concentration at five selected wavelengths.
P Krishnakumar +3 more
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