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Y.a. Kutoyants - Statistical Inference for Spatial Poisson Processes - 9780387985626 - V9780387985626
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Statistical Inference for Spatial Poisson Processes

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Description for Statistical Inference for Spatial Poisson Processes Paperback. Discusses the estimation theory for the wide class of inhomogeneous Poisson processes. This book investigates the maximum likelihood, Bayesian, and the minimum distance estimators in parametric problems and studies the empiric intensity measure and the kernel-type estimators in nonparametric estimation problems. Series: Lecture Notes in Statistics. Num Pages: 287 pages, 2 black & white illustrations, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 15. Weight in Grams: 413.
This work is devoted to several problems of parametric (mainly) and nonparametric estimation through the observation of Poisson processes defined on general spaces. Poisson processes are quite popular in applied research and therefore they attract the attention of many statisticians. There are a lot of good books on point processes and many of them contain chapters devoted to statistical inference for general and partic­ ular models of processes. There are even chapters on statistical estimation problems for inhomogeneous Poisson processes in asymptotic statements. Nevertheless it seems that the asymptotic theory of estimation for nonlinear models of Poisson processes needs some ... Read more

Product Details

Format
Paperback
Publication date
1998
Publisher
Springer-Verlag New York Inc. United States
Number of pages
287
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
279
Place of Publication
New York, NY, United States
ISBN
9780387985626
SKU
V9780387985626
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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