Statistical Inference for Spatial Poisson Processes

Language: English

Published by Springer New York Sep 1998, 1998

038798562X / 9780387985626

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This item is printed on demand - it takes 3-4 days longer - Neuware -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 development. Here nonlinear means the models of inhomogeneous Pois son processes with intensity function nonlinearly depending on unknown parameters. In such situations the estimators usually cannot be written in exact form and are given as solutions of some equations. However the models can be quite fruitful in en gineering problems and the existing computing algorithms are sufficiently powerful to calculate these estimators. Therefore the properties of estimators can be interesting too. 292 pp. Englisch.…

Title
Statistical Inference for Spatial Poisson Processes
Author
Yu A. Kutoyants
Publisher
Springer New York Sep 1998
Publication year
1998
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
038798562X
ISBN 13
9780387985626
Item weight
446 grams
Dimensions
235x155x16 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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