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Day 2 Thu, March 14, 2024
Accurate production forecasting for multiple wells that have both sparse and irregular measurements concurrently is a challenging task. Type-well analysis is commonly employed to model the average decline behavior of a group of wells from empirical ...
H. Hamdi, E. Zirbes, C. R. Clarkson
semanticscholar +1 more source
Accurate production forecasting for multiple wells that have both sparse and irregular measurements concurrently is a challenging task. Type-well analysis is commonly employed to model the average decline behavior of a group of wells from empirical ...
H. Hamdi, E. Zirbes, C. R. Clarkson
semanticscholar +1 more source
Sparse functional principal component analysis in a new regression framework
Computational Statistics & Data Analysis, 2020The functional principal component analysis is widely used to explore major sources of variation in a sample of random curves. These major sources of variation are represented by functional principal components (FPCs). The FPCs from the conventional FPCA
Yunlong Nie, Jiguo Cao
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Robust Functional Principal Component Analysis Based on a New Regression Framework
Journal of Agricultural Biological and Environmental Statistics, 2022Haolun Shi, Jiguo Cao
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An Exploratory Analysis of COVID-19 in Latin America Using Functional Principal Component Analysis
ARTIIS, 2021Diana Chaglla, I. Amaro, Saba Infante
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Special tea products featuring functional components: Health benefits and processing strategies
Comprehensive Reviews in Food Science and Food Safety, 2023Jiang Shi, Hai-Peng Lv
exaly
Hydrogels as functional components in artificial cell systems
Nature Reviews Chemistry, 2022James W Hindley, Oscar Ces, Yuval Elani
exaly
Common functional principal components analysis: a new approach to analyzing human movement data.
Human Movement Science, 2011Norma Coffey +3 more
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