Art
J-GLOBAL ID：201402260756723670
Reference number：14A0831012
Identification and estimation of superposed Neyman-Scott spatial cluster processes
重畳Neyman-Scott空間クラスタ過程の同定及び推定
Author (3)：
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Material：
Volume：
66
Issue：
4
Page：
687-702
Publication year：
Aug. 2014
JST Material Number：
W2286A
ISSN：
0020-3157
Document type：
Article
Article type：
原著論文
Country of issue：
Germany, Federal Republic of (DEU)
Language：
ENGLISH (EN)
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,
Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
JST classification (1)：
JST classification
Category name(code) classified by JST.
Statistics
Reference (29)：
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Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19, 716-723.
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Baddeley, A., Turner, R. (2000). Practical maximum pseudolikelihood for spatial point patterns. Australian & New Zealand Journal of Statistics, 42, 283-322.
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Baddeley, A., Barany, I., Schneider, R., Weil, W. (2007). Stochastic Geometry Lecture Notes in Mathematics 1892. Berlin: Springer.
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Baudin, M. (1981). Likelihood and nearest-neighbor distance properties of multidimensional Poisson cluster processes. Journal of Applied Probability, 18, 879-888.
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Cressie, N. (1993). Statistics for Spatial Data. New York, Chichester: John Wiley & Sons.
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Terms in the title (5)：
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