The Oxford handbook of functional data analysis

By:

Ferraty, Frederic

Contributor(s):

Ferraty, Frederic

Material type: Text

TextPublication details: 2011 Oxford University Press New DelhiDescription: xvi, 494 p. : ill. ; 26 cmISBN:

9780199568444

Subject(s):

DDC classification:

519.535 O9

Summary: As technology progresses, we are able to handle larger and larger datasets. At the same time, monitoring devices such as electronic equipment and sensors (for registering images, temperature, etc.) have become more and more sophisticated. This high-tech revolution offers the opportunity to observe phenomena in an increasingly accurate way by producing statistical units sampled over a finer and finer grid, with the measurement points so close that the data can be considered as observations varying over a continuum. Such continuous (or functional) data may occur in biomechanics (e.g. human movements), chemometrics (e.g. spectrometric curves), econometrics (e.g. the stock market index), geophysics (http://www.oup.com)

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	519.535 O9 (Browse shelf(Opens below))	Available		173612

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Previous	519.535 M4I6 An introduction to multivariable analysis: from vector to manifold	519.535 N3 New developments and techniques in structural equation modeling	519.535 N3I6 An introduction to copulas	519.535 O9 The Oxford handbook of functional data analysis	519.535 P2M6 Modeling and analysis of compositional data	519.535 P7A7 Applied multivariate analysis: using Bayesian and frequentist methods of inference	519.535 R2A7 Applied functional data analysis: methods and case studies	Next

As technology progresses, we are able to handle larger and larger datasets. At the same time, monitoring devices such as electronic equipment and sensors (for registering images, temperature, etc.) have become more and more sophisticated. This high-tech revolution offers the opportunity to observe phenomena in an increasingly accurate way by producing statistical units sampled over a finer and finer grid, with the measurement points so close that the data can be considered as observations varying over a continuum. Such continuous (or functional) data may occur in biomechanics (e.g. human movements), chemometrics (e.g. spectrometric curves), econometrics (e.g. the stock market index), geophysics (http://www.oup.com)

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