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Volumn 48, Issue 3, 2006, Pages 305-319

A note on sampling designs for random processes with no quadratic mean derivative

Author keywords

Asymptotically optimal design; Best linear unbiased estimator; Covariance kernel; Integrated mean squared error; Path estimation; Regularity conditions

Indexed keywords


EID: 33749380904     PISSN: 13691473     EISSN: 1467842X     Source Type: Journal    
DOI: 10.1111/j.1467-842X.2006.00442.x     Document Type: Article
Times cited : (2)

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  • 4
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    • MUKHERJEE, B. (2003). Exactly optimal sampling designs for processes with a product covariance structure. Canad. J. Statist. 31, 1-19.
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    • Mukherjee, B.1
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    • MÜLLER-GRONBACH, T. (1996). Optimal designs for approximating the path of a stochastic process. J. Statist. Plann. Inference. 49, 371-385.
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    • Sacks, J.1    Ylvisaker, D.2
  • 7
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    • Designs for regression problems with correlated errors: Many parameters
    • SACKS, J. & YLVISAKER, D. (1968). Designs for regression problems with correlated errors: many parameters. Ann. Math. Statist. 39, 46-69.
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    • Sacks, J.1    Ylvisaker, D.2
  • 9
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    • Sampling designs for estimation of a random process
    • Su, Y. & CAMBANIS, S. (1993). Sampling designs for estimation of a random process. Stochastic Process. Appl. 46, 47-89.
    • (1993) Stochastic Process. Appl. , vol.46 , pp. 47-89
    • Su, Y.1    Cambanis, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.