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References in periodicals archive ?
With the purpose of facilitating the processes carried out in relation to functional data analysis and taking into account the issues raised by Ramsay & Silverman (2005) about the definition of functional data on measurements repeated in a continuous system of reference being a curve through space.
Introduction to functional data analysis. Canadian Psychology/Psychologie canadienne 48 (3), 135-155.
The main concentration of this study is to apply the SCS method for identifying the surface runoff of watersheds and thenceforward use functional data analysis for predicting the surface runoff pattern of each watershed in the form of fitted smooth curve.
Functional data analysis technique was applied to create a function from the observation data.
That enables utilizing functional data analysis (FDA) for prediction of the behaviour of some of the process parameters.
In this study, functional data analysis methodology has been used in order to design a mathematical model for flank wear prediction.
Several other notable developments have arisen out of the systematic research of the functional data analysis group named the Toulouse School of Functional Data Analysis [11].
In Section 2, we describe the functional principal component analysis (FPCA), which plays a significant role in the development of functional data analysis. It is also an essential ingredient of functional principal component regression (FPCR).
Darius, "Potential applications of functional data analysis in chemometrics," Journal of Chemometrics, vol.
The Analyzer therefore utilizes Functional Data Analysis (FDA) [23] to model the evolution of the basic parsed data.
The analyzer autonomous agent uses functional data analysis in two stages.
Intensive longitudinal data arises in "any situation where quantitative or qualitative characteristics of multiple individuals or study units are recorded at more than a handful of time points" and includes "situations involving continuous-time measurement of recurrent events, provided that the period of measurement is long enough for a large number of these events to be potentially observed for each subject." Initial chapters focus on multilevel models, while later chapters examine such methodological tools from response theory, functional data analysis, time series, state-space modeling, analysis of dynamical systems through stochastic differential equations, engineering control systems, and point process models.
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