Application in R and application of real
Abstract
Bootstrap is a recently developed technique for analyzing statistical results. The basic concept of statistical data does not change but their interpretations are. This paper presents the method of functioning of this method and some ways to apply it to different real-life situations. Bootstrap analyzes statistical findings that can answer many real questions. It provides strict controls versus wrong interpretations of random patterns. This can be achieved by optimizing the required statistical results, significantly increasing their realistic approach. The treatment of this technique has been developed through the software R.
How to Cite This Article
Katerina Zela, Dorjan Zela, Gerild Qordja, Sediola Ruko (2021). Application in R and application of real. International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 2(4), 185-190.