Crude oil continues to be one of the significant energy sources. Several countries do not have enough indigenous oil and gas resources. These countries resort to overseas business of Exploration and Production (E&P) of oil to secure a stable supply. Profitability, risk and growth guide overseas...

A general framework is proposed for joint modelling of mixed correlated ordinal and continuous responses with missing values for responses, where the missing mechanism for both kinds of responses is also considered. Considering the posterior distribution of unknowns given all available...

We study the problem of classifying an individual into one of several populations based on mixed nominal, continuous, and ordinal data. Specifically, we obtain a classification procedure as an extension to the so-called location linear discriminant function, by specifying a general mixed-data...

To overcome the main flaw of minimum covariance determinant (MCD) estimator, i.e. difficulty to determine its main parameter <italic>h</italic>, a modified-MCD (M-MCD) algorithm is proposed. In M-MCD, the self-adaptive iteration is proposed to minimize the deflection between the standard deviation of robust...

In this paper, a new estimator combined estimator (CE) is proposed for estimating the finite population mean ¯ <italic>Y</italic> _{<italic>N</italic>} in simple random sampling assuming a long-tailed symmetric super-population model. The efficiency and robustness properties of the CE is compared with the widely used and...

The Bayesian continual reassessment method (CRM) and its likelihood version (CRML) provide important tools for the design of Phase I cancer clinical trials. However, a poorly chosen prior distribution in CRM may lead to inferior performance of the method in the early stage of a trial, whereas...

Prediction of demand for professional sports is increasingly drawing the attention of economists. We apply linear mixed models for modeling attendance figures at Spanish professional football. We investigate economic variables, such as the price of the tickets or the size of the market, and...

When interaction terms exist in a two-factor, factorial experiment, the consideration and analysis of main effects are often restricted to those situations where the interaction between factors is not significant. Hinkelman and Kempthorne [4] softened that stance somewhat and advocate testing...

In this paper, we propose a method to assess influence in skew-Birnbaum--Saunders regression models, which are an extension based on the skew-normal distribution of the usual Birnbaum--Saunders (BS) regression model. An interesting characteristic that the new regression model has is the capacity...

In this paper, we introduce two kinds of new restricted estimators called restricted modified Liu estimator and restricted modified ridge estimator based on prior information for the vector of parameters in a linear regression model with linear restrictions. Furthermore, the performance of the...