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Resampling a coverage pattern

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  • Hall, Peter

Abstract

The possibility of resampling (bootstrapping) a spatial pattern is investigated. It is suggested that resampling provides a unified approach to consistemt inference in a wide range of coverage problems. Nevertheless, resampling distorts some of the interactions in the problem, and so introduces biases. The sizes of bias and standard deviation are investigated in the case of estimating sampling variance via resampling.

Suggested Citation

  • Hall, Peter, 1985. "Resampling a coverage pattern," Stochastic Processes and their Applications, Elsevier, vol. 20(2), pages 231-246, September.
    • Handle: RePEc:eee:spapps:v:20:y:1985:i:2:p:231-246
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    Citations

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    Cited by:

    1. Iranpanah, N. & Mohammadzadeh, M. & Taylor, C.C., 2011. "A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 578-587, January.
    2. Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2015. "High dimensional generalized empirical likelihood for moment restrictions with dependent data," Journal of Econometrics, Elsevier, vol. 185(1), pages 283-304.
    3. Wolfgang Hardle & Torsten Kleinow & Alexander Korostelev & Camille Logeay & Eckhard Platen, 2008. "Semiparametric diffusion estimation and application to a stock market index," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 81-92.
    4. BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.
    5. Bucchia, Béatrice & Wendler, Martin, 2017. "Change-point detection and bootstrap for Hilbert space valued random fields," Journal of Multivariate Analysis, Elsevier, vol. 155(C), pages 344-368.
    6. Hinrichsen, Richard A. & Paulsen, Charles M., 2020. "Low carrying capacity a risk for threatened Chinook Salmon," Ecological Modelling, Elsevier, vol. 432(C).
    7. Lahiri, Soumendra Nath, 1997. "On Inconsistency of the Jackknife-after-Bootstrap Bias Estimator for Dependent Data," Journal of Multivariate Analysis, Elsevier, vol. 63(1), pages 15-34, October.
    8. Cerqueti, Roy & Falbo, Paolo & Pelizzari, Cristian, 2017. "Relevant states and memory in Markov chain bootstrapping and simulation," European Journal of Operational Research, Elsevier, vol. 256(1), pages 163-177.
    9. Sjöstedt-de Luna, Sara, 2001. "Resampling non-homogeneous spatial data with smoothly varying mean values," Statistics & Probability Letters, Elsevier, vol. 53(4), pages 373-379, July.
    10. Tina Kalayil & Somya Tyagi & Mahfuza Khatun & Sikandar Siddiqui, 2019. "A Risk-Sensitive Momentum Approach To Stock Selection," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 61-84, January –.
    11. Whitcher, Brandon, 2006. "Wavelet-based bootstrapping of spatial patterns on a finite lattice," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2399-2421, May.

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