21 resultados para Asymptotic Normality

em Bulgarian Digital Mathematics Library at IMI-BAS


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2010 Mathematics Subject Classification: 62F12, 62M05, 62M09, 62M10, 60G42.

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In this paper, we indicate how integer-valued autoregressive time series Ginar(d) of ordre d, d ≥ 1, are simple functionals of multitype branching processes with immigration. This allows the derivation of a simple criteria for the existence of a stationary distribution of the time series, thus proving and extending some results by Al-Osh and Alzaid [1], Du and Li [9] and Gauthier and Latour [11]. One can then transfer results on estimation in subcritical multitype branching processes to stationary Ginar(d) and get consistency and asymptotic normality for the corresponding estimators. The technique covers autoregressive moving average time series as well.

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2000 Mathematics Subject Classification: 60J80.

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2000 Mathematics Subject Classi cation: 60J80.

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2000 Mathematics Subject Classification: 60J80, 62M05

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This study is focused on the comparison and modification of different estimates arising in the branching processes. Simulations of models with or without migration are put through. Due to the complexity of the computations the algorithms are designed with the language of technical computing MATLAB. Using the simulations, estimates of the o spring mean of the generated processes are calculated. It is well known in the literature that under certain conditions the asymptotic distribution of the estimates is proved to be normal. Using the asymptotic normality a modified method of maximum likelihood is proposed. The aim is to obtain trimmed maximum likelihood estimates based on several sample paths with the same number of generations. Thus in a natural way the observations, inconsistent with the aprior information about the asymptotic normality are excluded from the model. The computation of the standard error allows the comparison of different types of estimates.

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This work was presented in part at the 8th International Conference on Finite Fields and Applications Fq^8 , Melbourne, Australia, 9-13 July, 2007.

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This project was partially supported by RFBR, grants 99-01-00233, 98-01-01020 and 00-15-96128.

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2000 Mathematics Subject Classification: 35J05, 35C15, 44P05

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Mathematics Subject Classification: 45G10, 45M99, 47H09

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2000 Mathematics Subject Classification: 60J80.

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Л. И. Каранджулов, Н. Д. Сиракова - В работата се прилага методът на Поанкаре за решаване на почти регулярни нелинейни гранични задачи при общи гранични условия. Предполага се, че диференциалната система съдържа сингулярна функция по отношение на малкия параметър. При определени условия се доказва асимптотичност на решението на поставената задача.

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AMS subject classification: 60J80, 62F12, 62P10.

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2000 Mathematics Subject Classification: 60J80.