✦ LIBER ✦

Estimation of integrated squared spectral density derivatives

✍ Scribed by Byeong U. Park; Sinsup Cho

Publisher: Elsevier Science
Year: 1991
Tongue: English
Weight: 446 KB
Volume: 12
Category: Article
ISSN: 0167-7152
DOI: 10.1016/0167-7152(91)90165-n

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of integrated squared density

Estimation of integrated squared density derivatives

✍ Peter Hall; J.S. Marron 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 335 KB

On estimating integrated squared spectra

On estimating integrated squared spectral density derivatives

✍ Y.H. Lee; S. Cho; W.C. Kim; B.U. Park 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 635 KB

Using non-stochastic terms to advantage

Using non-stochastic terms to advantage in kernel-based estimation of integrated squared density derivatives

✍ M.C. Jones; S.J. Sheather 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 366 KB

Estimators of integrals of powers of den

Estimators of integrals of powers of density derivatives

✍ Peter Hall; Rodney C.L. Wolff 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 305 KB

Central limit theorem for integrated squ

Central limit theorem for integrated square error of multivariate nonparametric density estimators

✍ Peter Hall 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 639 KB

Integral constraints on the accuracy of

Integral constraints on the accuracy of least-squares estimation

✍ Brett Ninness 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 823 KB

It is common to need to estimate the frequency response of a system from observed input-output data. This paper uses integral constraints to characterise the undermodelling-induced errors involved in solving this problem via parametric least-squares methods. This is achieved by exploiting the Hilber