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Real-world applications modelled by time-dependent dynamical systems with specific properties such as long-range dependence or self-similarity are usually described by fractional Brownian motion. The investigation of the qualitative behaviour of its realisations is an important topic. For this purpose, efficient mappings from realisations of the dynamical system, i.e., time series, to a set of scalar-valued…

The objective of this research is to propose the estimator of the population mean for incomplete data by using information of simple linear relationship model in the data set. In addition, the factorization of the likelihood function is created to derive the maximum likelihood estimator for the population mean. The simulation study was conducted for…

In research project, efficiency comparison study in prediction of normalization with data mining classification. The purpose of the research was to compare three normalization methods in term of classification accuracy that the normalized data provided: Z-Score, Decimal Scaling and Statistical Column. The six known classifications: K-Nearest Neighbor, Decision Tree, Artificial Neural Network, Support Vector Machine,…

More than one year after the outbreak of the COVID-19 pandemic the behavior of figures published by official sources of the countries are skeptical for the public. Many probability tests are used to detect the reliability of information among which Benford’s Law. This study focused on the Western Balkan countries, as one of the foremost…

COVID-19 is a viral disease that became a pandemic representing a very great challenge worldwide. The purpose of this article is to analyze COVID-19 patients’ data based on time- to-event analysis and identify the factors that affect the recovery time from COVID-19. The datasets that are used in this study are for cases that are…

The present article explains obtaining of the Bayesian prediction bounds at the maximum and minimum rate taking into account the results of future observation from a new version of a bathtub-shape failure rate distribution of life time type in the presence of outliers. The Type-II censored sample serves as a basis for the intervals of…

We proposed two robust confidence interval estimators, namely, the median interquartile range confidence interval (MDIQR) and the trimean interquartile range confidence interval (TRIQR) for the population mean (µ) as an alternative to the classical confidence interval. The proposed methods are based on the asymptotic normal theorem (ANT) for the sample median (MD) and the sample…

The research presents a statistical analysis that characterize the environment of the admitted students to Higher Public Education Institutions, by providing an overview of student’s distribution to the courses of studies offered by universities in Albania, such as, economy, medicine, technical etc., and grouping them according to the relative density of 38 (thirty eight) administrative…

Job tenure is an important factor for both employees and employers. Sometimes, for employees, this time is a criterion in starting new job, and also for employers when they have to hire new employees. It measures the length of time that employees have been in their current job or with their current employer. Analyzing factors,…

Circular data are common in biological studies which are involved angle and direction measurements. An outlier in circular biological data mostly related to the abnormality of the data set. The existence of outliers may affect the final outcome of a data analysis. Thus, an outliers’ identification method is essential in circular biological data to determine…

The present paper details a queueing model with two kinds of repair facilities and server timeout. Here the customer arrives in compound Poisson process into the system and the lifetime of the server follows exponential distribution. At the point when the system is vacant, the server waits for customers for a settled time ‘c’. If…

This study examined the performance of two proposed permutation methods for Chow test analysis and the Milek permutation method for testing structural break in linear models. The proposed permutation methods are: (1) permute object of dependent variable and (2) permute object of the predicted dependent variable. Simulation from gamma distribution and standard normal distribution were…

This paper investigates the methods of optimal design construction for step-stress accelerated life testing (ALT) when a Cox’s hazards model is adopted with either a linear or a quadratic baseline hazard function. We discuss multiple step-stress plans for time-censored ALT experiments. The maximum likelihood method is utilized for estimating the model parameters. The information matrices…