Computational Science and Techniques

This paper proposes methodology for companies’ assessment. There is suggesting assessing the company’s prospect, not only according to share price, forecasts of the analysts, but also on the basis of position of each company in two-dimensional space in respect of the other companies. Seeking to describe the share prices of a company during the year, the parameters of skew t distribution are calculated. Then they are used in the inputs of random forest algorithm. Proximity matrices are stored during classification, and they are displayed in two-dimensional space. Thus, two clusters are obtained: one of the companies with upgrade trend, another one – with downgrade trend. This method may be useful those investors who are important to choose the most promising companies of all industry without wasting a lot of time.

The epigraphs of the Evangelical Lutheran cemeteries of Klaipėda provide rich information. They present exhaustive data on the buried person: full dates of their births and deaths, names, surnames, and maiden names of married women; sometimes even the place of origin or the social-professional status is indicated. Beside the personal data, the epigraphs contain farewell or sacred texts addressed to the dead. The ethnic Evangelical Lutheran cemeteries in Klaipėda Region significantly suffered during the historical and political events unfavourable for them. The majority of tombstones and crosses were totally destroyed and cannot be reconstructed. Unique information about the population of the Region was lost forever. In the article, the author analyzes the data presented in epigraphs: the distribution of the dead by gender and age, high infant/ children mortality rates, and other.