New technologies allow us to handle increasingly large datasets,
while monitoring devices are becoming ever more sophisticated. This
high-tech progress produces statistical units sampled over finer
and finer grids. As the measurement points become closer, the data
can be considered as observations varying over a continuum. This
intrinsic continuous data (called functional data) can be found in
various fields of science, including biomechanics, chemometrics,
econometrics, environmetrics, geophysics, medicine, etc. The
failure of standard multivariate statistics to analyze such
functional data has led the statistical community to develop
appropriate statistical methodologies, called Functional Data
Analysis (FDA). Today, FDA is certainly one of the most motivating
and popular statistical topics due to its impact on crucial
societal issues (health, environment, etc). This is why the FDA
statistical community is rapidly growing, as are the statistical
developments . Therefore, it is necessary to organize regular
meetings in order to provide a state-of-art review of the recent
advances in this fascinating area. This book collects selected and
extended papers presented at the second International Workshop of
Functional and Operatorial Statistics (Santander, Spain, 16-18
June, 2011), in which many outstanding experts on FDA will present
the most relevant advances in this pioneering statistical area.
Undoubtedly, these proceedings will be an essential resource for
academic researchers, master students, engineers, and practitioners
not only in statistics but also in numerous related fields of
application. "
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