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Analysis of variance for functional ...
~
Zhang, Jin-Ting, (1964-)
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Analysis of variance for functional data /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Analysis of variance for functional data // Jin-Ting Zhang.
作者:
Zhang, Jin-Ting,
出版者:
Boca Raon :CRC Press, Taylor & Francis Group, : 2014.,
面頁冊數:
xxiii, 386 p. :ill. ;25 cm.
標題:
Analysis of variance. -
ISBN:
9781439862735 (hbk.) :
Analysis of variance for functional data /
Zhang, Jin-Ting,1964-
Analysis of variance for functional data /
Jin-Ting Zhang. - Boca Raon :CRC Press, Taylor & Francis Group,2014. - xxiii, 386 p. :ill. ;25 cm. - Monographs on statistics and applied probability ;127. - Monographs on statistics and applied probability (Series) ;128. .
Includes bibliographical references (p. 369-380) and index.
Introduction --
"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.
ISBN: 9781439862735 (hbk.) :UK63.99
LCCN: 2013014247Subjects--Topical Terms:
516400
Analysis of variance.
LC Class. No.: QA279 / .Z43 2014
Dewey Class. No.: 519.5/38
Analysis of variance for functional data /
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Jin-Ting Zhang.
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xxiii, 386 p. :
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Includes bibliographical references (p. 369-380) and index.
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Introduction --
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Nonparametric smoothers for a single curve --
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Reconstruction of functional data --
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Stochastic processes --
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ANOVA for functional data --
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Linear models with functional responses --
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Ill-conditioned functional linear models --
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Diagnostics of functional observations --
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Heteroscedastic ANOVA for functional data --
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Test of equality of covariance functions.
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"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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2010741
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