The article focuses on properties generalised to the multidimensional case of known coefficients of spatial correlation. The main result of the work is the decomposition of the introduced generalised autocorrelation coefficients into the sum of ordinary autocorrelation coefficients, but...

Logistic regression is widely used in complex data analysis. When predictors are at individual level and the response at aggregate level, logistic regression can be estimated using the Maximum Likelihood Estimation (MLE) method with the joint likelihood function formed by Poisson binomial...

Reducing poverty and improving the living standards of the poor and vulnerable populations in Sri Lanka have been one of the country's key goals. The government has designed poverty-targeting programs with relevant government agencies working to support low-income families. The programs include...

The main objective of the research described in the article is to study the maximum likelihood (ML) estimation and the Bayesian approach for parameter estimation of the Lomax distribution. Additionally, the study aims to determine the approximate intervals for the parameters and the survival...

Poverty is one of the most important global socio-economic problems. Despite a strong interest in this phenomenon, there is no unified concept for measuring it. It is difficult to quantify due to the diversity of the dimensions of perceived poverty, particularly subjective ones. Thus, the aim of...

This study introduces a new family of distributions (FoD) called type I heavy-tailed odd Burr III-G (TI-HT-OBIII-G) distribution. Several statistical properties of the family are derived along with actuarial risk measures. The maximum likelihood estimation (MLE) approach is adopted in the...

The aim of the article is to propose a unification of the generalized Marshall-Olkin (GMO) and Poisson-G (P-G) distributions into a new family of distributions. The density and survival function are expressed as infinite mixtures of an exponentiated-P-G family. The quantile function, asymptotes,...

The purpose of the paper is to empirically determine the impact of human capital on the innovation performance of EU economies. Currently, most researchers consider human capital a significant factor of economic growth based on knowledge and innovation. Depending on the amount and quality of the...

Despite the introduction of several adjustments, mitigating data anomalies in financial datasets has proven challenging, particularly in the context of cryptocurrencies with extreme values and increased volatility. The progress in properly addressing these anomalies prior to testing remains...

The concept of reversed relevation transform was introduced by Di Crescenzo and Toomaj (2015). In this article, we study important reliability properties of the reversed relevation transform under the proportional reversed hazards assumption. The results of research on information measures are...