Tourist and recreational complex elements dynamics research data analysis qualitative methods

Abstract

This article presents the results the adapted complex methodology operation for the pre-estimating analysis of the dynamics of tourist flow time series decomposition in the Dombai ski village, the features of which are in the combined use of both classical and new “nonlinear” statistics. The methods proposed and tested by the authors are presented in the form of a pre-estimating model for assessing the tourist flow time series trend stability. The following methods of nonlinear dynamics were tested: the method of the normalized Hurst range, phase-plane analysis. The methods of fractal analysis used and adapted by the authors ensure the identification and assessment of a number of socio-economic time series fundamental qualitative and quantitative pre-estimating characteristics, namely, the presence of memory, including long-term memory, its depth, which in turn can determine the process as persistent (antipersistent, trend-resistant or reverse) to reveal the noise color.

Evaluating the Rising Trends of Divorces Within Malaysian Community

“…The concerned research considers qualitative data analysis techniques to consider the behavioral aspect in Malaysia and identify the education and cultural exposure as necessary factors influencing the rising divorce trend in the country (Kumratova et al, 2021). In addition, this data analysis method allows the research to explore behavioral patterns of different Malaysian communities and relate it with the divorce rate within the country.…”

Innovative methods and tools for obtaining pre-forecast information in the socio-economic processes research

“…A more detailed description of the phase analysis algorithm is presented in the sources [4,5,6,9,11,12]. This article presents a study of the aggregated time series "Tourists" based on phase analysis.…”

“…The article presents the development of the information system for the complex socio-economic processes pre-forecast analysis by the method of the time series studying local fluctuations [6,7,9,11,12]. To visualize the model and describe all the actions performed by the developed program, the authors use a number of tools that allow to simulate actions in processes, to determine their order and the necessary resources.…”