Analysis of variance for functional data / Jin-Ting Zhang.
Series: Monographs on statistics and applied probability ; 127.Publication details: Boca Raton : CRC Press, c2014.Description: xxiii, 386 p. : illustrations ; 25 cmISBN:- 9781439862735
- 23 Z63 000SA.069
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
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Books | ISI Library, Kolkata | 000SA.069 Z63 (Browse shelf(Opens below)) | Available | 135459 |
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000SA.069 P877 High-dimensional covariance estimation / | 000SA.069 Sch316 Analysis of variance | 000SA.069 Sch316 Analysis of variance | 000SA.069 Z63 Analysis of variance for functional data / | 000SA.069 TR.40 Multiplicative model for analyzing variances which are affected by several factors | 000SA.069=3 El39 Grenzen voor korrelatiekoefficienten in een trivariate verdeling | 000SA.069=4 D868 Analyse de variance et plans d'experience |
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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