Fluctuation Limit of Branching Processes with Immigration and Estimation of the Means

نویسندگان

  • Márton Ispány
  • Gyula Pap
  • Martien C. A. van Zuijlen
چکیده

A sequence of Galton–Watson branching processes with immigration is investigated, when the offspring mean tends to its critical value one and the offspring variance tends to zero. It is shown that the fluctuation limit is an Ornstein– Uhlenbeck type process. As a consequence, in contrast to the case where the offspring variance tends to a positive limit, the conditional least squares estimator of the offspring mean turns out to be asymptotically normal. The norming factor is n, in contrast to the subcritical case where it is n, and in contrast to the nearly critical case with positive limiting offspring variance, where it is n.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A limit theorem of discrete Galton - Watson branching processes with immigration 1

We provide a simple set of sufficient conditions for the weak convergence of discrete Galton-Watson branching processes with immigration to continuous time and continuous state branching processes with immigration. Mathematics Subject Classification (2000): 60J80

متن کامل

A Limit Theorem for Discrete Galton–watson Branching Processes with Immigration

Weprovide a simple set of sufficient conditions for theweak convergence of discrete-time, discrete-state Galton–Watson branching processes with immigration to continuous-time, continuous-state branching processes with immigration.

متن کامل

Central Limit Theorem in Multitype Branching Random Walk

A discrete time multitype (p-type) branching random walk on the real line R is considered. The positions of the j-type individuals in the n-th generation form a point process. The asymptotic behavior of these point processes, when the generation size tends to infinity, is studied. The central limit theorem is proved.

متن کامل

A Fluctuation Limit Theorem of Branching Processes with Immigration and Statistical Applications

where {ξ(k, j) : k, j = 1, 2, · · · } and {η(k) : k = 1, 2, · · · } are two independent families of i.i.d. random variables taking values in N := {0, 1, 2, · · · }. The distribution of ξ(k, j) is called the offspring distribution and the distribution of η(k) is called the immigration distribution. Let g(·) and h(·) be the generating functions of ξ(k, j) and η(k), respectively. It is easy to see...

متن کامل

Limit Theorems for Supercritical Markov Branching Processes with Non-homogeneous Poisson Immigration

This paper deals with Markov branching processes allowing immigration at random time points described by a non-homogeneous Poisson process. This class of processes generalizes a classical model proposed by Sevastyanov, which included a time-homogeneous Poisson immigration. The proposed model finds applications in cell kinetics studies. Limit theorems are obtained in the supercritical case. Some...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017