Dynamic asset allocation strategies that are continuously rebalanced so as to always keep a fixed constant proportion of wealth invested in the various assets at each point in time play a fundamental role in the theory of optimal portfolio strategies. In this paper we study the rate of return on investment, defined here as the net gain in wealth divided by the cumulative investment, for such in...

In this article, the so called Transmuted Exponential (TE) distribution was applied to two real life datasets to assess its potential flexibility over some other generalized models. Various statistical properties of the TE distribution were also identified while the method of maximum likelihood estimation was used to estimate the model parameters.

The main purpose of this work is investigated a loss system, which can serve as a model of modified Robbins-Monro stochastic approximation in the presence of delayed observations. Here we confine ourselves to the case of exponential distribution The results achieved for the loss system enable to conclude about the efficiency of the procedure and to give a hint for the choice of the number of se...

We give a detailed sketch of how the exponential, Poisson, gamma, beta, normal, χ, t, and F distributions arise in “natural” ways. Our only prerequisite distributions will be the binomial distribution and the uniform distribution on [0, 1]. The details of the (more than) healthy dose of multivariable calculus along the way may certainly be slurred over by those looking for a sense of how the di...

Recently, the number of studies involving complex network applications in transportation has increased steadily as scholars from various fields analyze traffic networks. Nonetheless, research on rail network growth is relatively rare. This research examines the evolution of the Public Urban Rail Transit Networks of Kuala Lumpur (PURTNoKL) based on complex network theory and covers both the topo...

A Bayesian analysis was developed with different noninformative prior distributions such as Jeffreys, Maximal Data Information, and Reference. The aim was to investigate the effects of each prior distribution on the posterior estimates of the parameters of the extended exponential geometric distribution, based on simulated data and a real application.