Comparative Study of FDA and Time Series Approaches for Seabed Classification from Acoustic Curves

Predicting rainfall and irrigation requirements of corn in Ecuador

“…Now, a great deal of FDA approaches for univariate and multivariate statistical techniques are developed, ranging from descriptive analysis [7] , outlier detection [8] , statistical quality control [9] , analysis of variance [10] , classification [11] , to regression [12] and time series [13] , among others. All these techniques have been successfully applied to solve problems in many scientific domains such as engineering [14] , material science [15] , geosciences [16] , medicine and genetics [17] , environmental sciences (dealing many times with the spatio–temporal domain) [18] , and of course agriculture [19] , among many others. The current popularity of FDA techniques is also due, in part, to the large number of freely available computational tools that allow their application, available in the R statistical software, such as the fda and fda.usc packages [20] , [21] , among others.…”