By Prof. Dr. Ulrich Dieter (auth.), PD Dr. Karl-Heinz Jöckel, Prof. Dr. Günter Rothe, Prof. Dr. Wolfgang Sendler (eds.)
This ebook includes 30 chosen, refereed papers from an in- ternational convention on bootstrapping and similar techni- ques held in Trier 1990. Thepurpose of the publication is to in- shape approximately fresh study within the sector of bootstrap, jack- knife and Monte Carlo exams. Addressing the beginner and the professional it covers in addition theoretical as useful facets of those statistical thoughts. power clients in several disciplines as biometry, epidemiology, laptop technology, economics and sociology but in addition theoretical researchers s- hould seek advice the e-book to learn at the state-of-the-art during this area.
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Extra resources for Bootstrapping and Related Techniques: Proceedings of an International Conference, Held in Trier, FRG, June 4–8, 1990
7; Ripley and Kirkland, 1990). By taking sample patterns sufficiently far apart in the sequence we can generate essentially independent samples. When the simulation process is cheap and the computation of the statistic expensive this is obviously sensible, but sometimes the sizes of the costs will be reversed. For that case Besag and Clifford (1989) consider Monte Carlo tests from temporally dependent samples. An iterative method defines a Markov chain on the state space. In general it will be irreversible, but can be run forwards or backwards.
Wiley, New York. Penttinen, A. (1984). Modelling spatial interaction in spatial point patterns: parameter estimation by the maximum likelihood method. Jyviiskylii Studies in Computer Science, Economics and Statistics 7. Possolo, A. (1988). Subsampling and resampling statistics of spatial processes. Abstract 206-38 Bull. Int. Math. Statist. 17, 227. D. (1977). Modelling spatial patterns. J. Roy. Statist. Soc. B 39, 172-212. D. (1978). Spectral analysis and the analysis of pattern in plant communities.
Occasionally conditioning can be used. Suppose we have two spatial point patterns to test their association. By conditioning on both patterns up to a random motion, we can base inference on random motions (translations, rotations or as appropriate) of one pattern relative to the other. One example of this technique is to two patterns of ants' nests by Harkness and Isham (1983), although I had seen earlier examples. Fine asymptotic points about Monte Carlo tests for composite null hypotheses with estimated nuisance parameters are made by Hall and TItterington (1989).
Bootstrapping and Related Techniques: Proceedings of an International Conference, Held in Trier, FRG, June 4–8, 1990 by Prof. Dr. Ulrich Dieter (auth.), PD Dr. Karl-Heinz Jöckel, Prof. Dr. Günter Rothe, Prof. Dr. Wolfgang Sendler (eds.)