Statistics can be used to reveal cheating and corruption. Statistics can see what cannot be perceived with the naked eye. This article discusses the disclosure of cheating by statistics seen in relation to similar studies. The evaluation process of a semester course at a university is a data...

Over the past decades, various methods for comparing the means of two log-normal have been proposed. Some of them are differing in terms of how the statistic test adjust to accept or to reject the null hypothesis. In this study, a new method of test for comparing the means of two log-normal...

Principal component analysis (PCA) is a well established technique for data analysis and processing. Recently, it has been shown that the principal axes of a set of observed data vectors might be determined trough maximum likelihood estimation of parameter in a specific form of latent variable...

In this paper, we consider and examine the performance of two-step LM unit root tests with trend-breaks. In the first step, we jointly test for the existence and location of breaks using a maximum F-test. In the second step, we utilize the identified breaks and test for a unit root. A...

The paper is aimed at contributing to the body of knowledge that exist in the area of energy forecasting by reviewing relevant empirical works on energy forecasting using ARIMA models. This paper is relevant in the face of frequent power outage and the dependence on external economies for energy...

In this paper, we introduce the procedure of a specification test for linear dynamic stochastic general equilibrium (DSGE) models. Given a parameterized DSGE model, we can empirically find omitted variables and check whether the model's structure is correct. -- DSGE model ; specification test

We study empirically how the positive effects of capital account liberalization on economic growth can be magnified or reduced by Corruption control. We develop a model in which Corruption control and capital account liberalization promote growth, but acts as substitutes. We test this...

The stock market patterns are non-linear in nature therefore it is difficult to forecast the future trends of the market. In this paper we have used different macro-economic factors of Indian stock market. Macro-economic factors include technical indicators. These technical indicators help to...

Primary income data yields the most exact estimates of the Gini coefficient. Using Lorenz curves, the Gini coefficient is defined as the ratio of the area between the diagonal and the Lorenz curve and the area of the whole triangle under the diagonal. Various attempts have been made to obtain...

Convergence is a subject of controversy in regional studies, no matter if the analysis is carried out across regions of various countries or regions of the same country. Convergence is quite difficult to assess because it can be unconditional, conditional or club convergence. When referring to...