Efficient simulation of a space-time Neyman-Scott rainfall model

A Generalization of the Neyman-Scott Process

In this paper we introduce a generalization of the Neyman-Scott process (Neyman and Scott, 1958) that allows for regularity in the parent process. In particular, we consider the special case where the parent process is a Strauss process with offspring points dispersed about the parent points. Such a generalization allows for point realizations that show a mix of regularity and clustering in the...

MML is not consistent for Neyman-Scott

Minimum Message Length (MML) is a popular method for statistical inference, belonging to the Minimum Description Length (MDL) family. It is a general name for any of several computationally-feasible approximations to the generally NP-Hard Strict Minimum Message Length (SMML) estimator. One often-cited showcase for the power of MML is the Neyman-Scott estimation problem, where most popular estim...

Statistical properties of a nonstationary Neyman - Scott cluster process

The Neyman-Scott cluster point process, originally developed in 1958 to describe the distribution of galaxies in space [l], has become an important representation for a broad range of phenomena in the physical, biological, and social sciences [2], [3]. Bartlett [4] has shown that the shot-noise driven doubly stochastic Poisson point process (SNDP) is a special but important example of a Neyman-...

the innovation of a statistical model to estimate dependable rainfall (dr) and develop it for determination and classification of drought and wet years of iran

آب حاصل از بارش منبع تأمین نیازهای بی شمار جانداران به ویژه انسان است و هرگونه کاهش در کم و کیف آن مستقیماً حیات موجودات زنده را تحت تأثیر منفی قرار می دهد. نوسان سال به سال بارش از ویژگی های اساسی و بسیار مهم بارش های سالانه ایران محسوب می شود که آثار زیان بار آن در تمام عرصه های اقتصادی، اجتماعی و حتی سیاسی- امنیتی به نحوی منعکس می شود. چون میزان آب ناشی از بارش یکی از مولفه های اصلی برنامه ...

A Publication of The Institute of Statistical Mathematics SIMULATION AND ESTIMATION OF THE NEYMAN - SCOTT TYPE SPATIAL CLUSTER MODELS