The construction of simple classification rules is a frequent problem in medical research. For example a difference in overall survival time may suggest distinct types, i.e. subgroups of patients, of diffuse large B-cell lymphoma identified by gene expression profiling. Maximally selected rank...

Two estimation procedures for the parameters of the multivariate normal distribution, based on the sample characteristic function and having an equivalent basis in terms of density estimation, are presented. The procedures depend on a user-specified index, variation of which produces a response...

In this paper, we consider the visualization and statistical modeling of financial data (e.g., sales, assets) for many global firms which are listed and delisted. This study presents an exploratory data analysis carried out in the R programming language. The results show that a log-linear model...

Scaling behavior measured in cross-sectional studies through the tail index of a power law is prone to a bias. This hampers inference; in particular, time variation in estimated tail indices may be erroneous. In the case of a linear factor model, the factor biases the tail indices in the left and...

In this paper we derived some Bayesian estimators of the scale parameter for the Laplace distribution under different loss function including the squared log error loss function, Quadratic loss function and Entropy loss function. Also some classical estimators have been obtained, such as Maximum...