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)： TANAKA Ushio (Rikkyo Univ., Tokyo, JPN) ,  OGATA Yosihiko (Univ. Tokyo, Tokyo, JPN) ,  OGATA Yosihiko (Inst. of Statistical Mathematics, Tokyo, JPN)
Material： Annals of the Institute of Statistical Mathematics  (Ann Inst Stat Math)
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)

Thesaurus term： *process ,  *likelihood function ,  cluster ,  *estimation ,  *function (mathematics) ,  contact ,  distance ,  strength function ,  *distance function

JST classification (1)： Statistics  (AB08000H)

Reference (29)：

• Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19, 716-723.
• Baddeley, A., Turner, R. (2000). Practical maximum pseudolikelihood for spatial point patterns. Australian & New Zealand Journal of Statistics, 42, 283-322.
• Baddeley, A., Barany, I., Schneider, R., Weil, W. (2007). Stochastic Geometry Lecture Notes in Mathematics 1892. Berlin: Springer.
• Baudin, M. (1981). Likelihood and nearest-neighbor distance properties of multidimensional Poisson cluster processes. Journal of Applied Probability, 18, 879-888.
• Cressie, N. (1993). Statistics for Spatial Data. New York, Chichester: John Wiley & Sons.

Terms in the title (5)： 重畳 ,  クラスタ ,  過程 ,  同定 ,  推定