In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests, particularly in areas such as Global Navigation Satellite System (GNSS) measurements, where data often exhibit non-normal characteristics resulting from their variability and errors....

This paper analyzes the tax collection from payroll tax on staff and non-staff in the state of Quintana Roo from 2000 to 2010. Its main contribution is to identify the statistical revenue behavior using a fractal approach, establishing iterative patterns at both state and municipal level, for...

In this paper, we deal with the scheduling problem of systems that have similar structure of the production-scheduling problem of assembly plants of discrete products. Firstly, the definition of order controlled, assembly plant of discrete productions is given, together with the problem of...

Extreme Value Theory is increasingly used in the modelling of financial time series. The non-normality of stock returns leads to the search for alternative distributions that allows skewness and leptokurtic behavior. One of the most used distributions is the Pareto Distribution because it allows...

In this paper, we deal with the scheduling problem of systems that have similar structure of the production-scheduling problem of assembly plants of discrete products. Firstly, the definition of order controlled, assembly plant of discrete productions is given, together with the problem of...

We test for the presence of time-varying parameters (TVP) in the long-run dynamics of energy prices for oil, natural gas and coal, within a standard class of mean-reverting models. We also propose residual-based diagnostic tests and examine out-of-sample forecasts. In-sample LR tests support the...