Bibliometric Analysis of the Studies Determined By the Monte Carlo Simulation Technique of the Power of the Test

Authors : Malik Ergin, Rabia Albayrak Delialioğlu, Yasin Altay, Özgür Koşkan

Pages : 414-420

Doi:10.34248/bsengineering.1335977

View : 149 | Download : 134

Publication Date : 2023-10-15

Article Type : Research Paper

Abstract :In order to give detailed information about the characteristics of scientific studies related to the power of the test, a bibliometric analysis of studies in which the power of the tests used in statistical data analysis was determined with the aid of Monte Carlo simulation techniques was carried out. The Web of Science (WoS) database\'s 1309 scientific studies in which the power of the test was determined by using Monte Carlo simulation techniques served as the study\'s material of data. The analysis includes the number of studies by year, average citation count by year, the number of articles published in scientific journals, countries of responsible authors, and the most relevant words in the studies. It was observed that Communications in Statistics-Simulation and Computation and Journal of Statistical Computation and Simulation are the journals with the highest number of published articles. The United States of America (USA) takes the lead when considering the countries of corresponding authors, while Türkiye is in 8th place. The most used keywords in the ten-year time period of scientific studies were respectively "power”, "test”, "skewness”, "model” and "inference”. As a result, it can be concluded that test power studies can be obtained safely using the Monte Carlo simulation technique.
Keywords : Type I error probability, Test power, Bibliometric analysis, Monte Carlo, Simulation

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