Bootstrap Method as a Tool for Analyzing Data with Atypical Distributions Deviating from Parametric Assumptions: Critique and Effectiveness Evaluation

In today’s research environment characterized by exponential data growth and increasing complexity, the selection of appropriate statistical tests, tailored to research objectives and data distributions, is paramount for rigorous analysis and accurate interpretation. This article explores the growin...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Joanna Kostanek, Kamil Karolczak, Wiktor Kuliczkowski, Cezary Watala
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-07-01
סדרה:	Data
נושאים:	bootstrap resampling procedures violation of parametric tests assumptions multiple comparisons simulations
גישה מקוונת:	https://www.mdpi.com/2306-5729/9/8/95
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!