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Analysis of variance for functional data / Jin-Ting Zhang.

By: Zhang, Jin-Ting.
Series: Monographs on statistics and applied probability ; 127.Publisher: Boca Raton : CRC Press, c2014Description: xxiii, 386 p. : illustrations ; 25 cm.ISBN: 9781439862735.Subject(s): Analysis of variance | Functional analysis | MATHEMATICS -- Probability & Statistics -- General --DDC classification: 000SA.069
Contents:
1. Introduction -- 2. Nonparametric smoothers for a single curve -- 3. Reconstruction of functional data -- 4. Stochastic processes -- 5. ANOVA for functional data -- 6. Linear models with functional responses -- 7. Ill-conditioned functional linear models -- 8. Diagnostics of functional observations -- 9. Heteroscedastic ANOVA for functional data -- 10. Test of equality of covariance functions-- Bibliography-- Index.
Summary: "Preface Functional data analysis has been a popular statistical research topic for the last three decades. Functional data are often obtained via observing a number of subjects over time, space or other continua densely. They are frequently collected from various research areas, including audiology, biology, children's growth studies, ergonomics, environmentology, me- teorology, and women's health studies among others in the form of curves, surfaces, or other complex objects. Statistical inference for functional data generally refers to estimation and hypothesis testing about functional data. There are at least two monographs available in the literature which are devoted in estimation and classi.
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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
000SA.069 Z63 (Browse shelf) Available 135459
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Nonparametric smoothers for a single curve --
3. Reconstruction of functional data --
4. Stochastic processes --
5. ANOVA for functional data --
6. Linear models with functional responses --
7. Ill-conditioned functional linear models --
8. Diagnostics of functional observations --
9. Heteroscedastic ANOVA for functional data --
10. Test of equality of covariance functions--

Bibliography--
Index.

"Preface Functional data analysis has been a popular statistical research topic for the last three decades. Functional data are often obtained via observing a number of subjects over time, space or other continua densely. They are frequently collected from various research areas, including audiology, biology, children's growth studies, ergonomics, environmentology, me- teorology, and women's health studies among others in the form of curves, surfaces, or other complex objects. Statistical inference for functional data generally refers to estimation and hypothesis testing about functional data. There are at least two monographs available in the literature which are devoted in estimation and classi.

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