Results 31 to 40 of about 1,020,025 (280)
Principal Component Analysis of Munich Functional Developmental Diagnosis
Pediatric Reports, 2021 Objectives: Munich Functional Developmental Diagnosis (MFDD) is a scale for assessing the psychomotor development of children in the first months or years of life.
Grażyna Pazera +3 more
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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression
مجلة بغداد للعلوم, 2022 This paper proposed a new method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates are functional and the Principal Component Analysis was utilized to de-correlate the multivariate
Shelan Saied Ismaeel +2 more
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Applied Sciences, 2022 The lithium-ion (Li-ion) battery is a promising energy storage technology for electronics, automobiles, and smart grids. Extensive research was conducted in the past to improve the prediction of the remaining capacity of the Li-ion battery.
MD Shoriat Ullah, Kangwon Seo
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Forecasting, 2022 We propose a functional time series method to obtain accurate multi-step-ahead forecasts for age-specific mortality rates. The dynamic functional principal component analysis method is used to decompose the mortality curves into dynamic functional ...
Ufuk Beyaztas, Hanlin Shang
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Functional classification of small towns in Germany. A methodological comparison
Raumforschung und Raumordnung, 2020 The development of small towns in Germany in terms of their economic, demographic and social endowment is a subject area that has been rather neglected so far.
Philipp Gareis, Antonia Milbert
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Mathematics, 2023 This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo +2 more
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Atmosphere, 2023 Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi +6 more
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Mathematics, 2023 This paper aims to identify the main determinants of the countries that present contagion during the period 2000–2021, based on the determination of the behavior patterns of 18 stock market indices of 15 of the main economies.
Jorge Omar Razo-De-Anda +2 more
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Computation, 2021 Feature extraction plays an important role in machine learning for signal processing, particularly for low-dimensional data visualization and predictive analytics.
Shengkun Xie
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Multi-dimensional functional principal component analysis [PDF]
Statistics and Computing, 2016 Functional principal component analysis is one of the most commonly employed approaches in functional and longitudinal data analysis and we extend it to analyze functional/longitudinal data observed on a general $d$-dimensional domain. The computational issues emerging in the extension are fully addressed with our proposed solutions.
Chen, Lu-Hung, Jiang, Ci-Ren
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