This paper aims to explain the spatial econometric models and analyses these models with the maximum likelihood method. Also in addition to specification tests which belong to spatial models, choosing the best model that represents data is explained. In this context, the vegetable lands used in...

In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard...

A continuous-time model that incorporates several key elements in tumor dynamics is analyzed. More precisely, the form of proliferating and quiescent cell lines comes out from their relations with the whole tumor mass, giving rise to a two-dimensional diffusion process, generally time...

This article examines fractional processes as alternatives to random walks in emerging foreign exchange rate markets. Sowell's (1992) joint maximum likelihood is used to estimate the ARFIMA parameters and test for random walks. The results show that, in most cases, the emerging market exchange...

We consider a compound-Poisson model with Pareto-type claims. In contrast to the classical case, where the claims are assumed to be iid., we assume that scaling and location parameters of the Pareto distribution follow a certain trend. We investigate the impact of this trend on parameter...