نتایج جستجو برای: functional data analysis
تعداد نتایج: 4870994 فیلتر نتایج به سال:
Aim Water column acoustic backscatter is regularly registered during oceanographic surveys, providing valuable information on the composition and distribution of pelagic life in ocean. We propose an objective approach based functional data analysis to classify these seascapes into biogeographical regions. Location Tropical South Atlantic Ocean off northeastern Brazil. Taxon Sound-scattering fau...
the main purpose of the present study was to investigate the relationship between listening proficiency and metacognitive listening strategies awareness among low, mid, and highly self-regulated students. three hundred and seventy one efl students participated in this study (all grade 3 and 4 high-school students who were studying in khansar in academic year 1391-92). to gather the data, three ...
The objective of this paper is to present a review of different calibration and classification methods for functional data in the context of chemometric applications. In chemometric, it is usual to measure certain parameters in terms of a set of spectrometric curves that are observed in a finite set of points (functional data). Although the predictor variable is clearly functional, this problem...
With the advance of modern technology, more and more data are being recorded continuously during a time interval or intermittently at several discrete time points. They are both examples of “functional data”, which have become a commonly encountered type of data. Functional Data Analysis (FDA) encompasses the statistical methodology for such data. Broadly interpreted, FDA deals with the analysi...
In this chapter we examine two different settings in which sparseness can be important in a functional data analysis (FDA). The first setting involves sparseness in the functions. The classical assumption of FDA is that each function has been measured at all time points. However, in practice it is often the case that the functions have only been observed at a relatively small number of points. ...
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