A Ranked Set Generalized Procedure for Computing Mean Using Searls Technique: Applications to Real Data

Key Points

• The study computes means effectively using a ranked set sampling method, enhancing statistical analysis.
• Key evidence shows that applying the Searls technique can improve accuracy in mean estimation compared to traditional methods.
• Analysis involves a ranked set generalized procedure, tailored for more complex datasets with inherent variability.
• This method may enable better data interpretation and clearer insights in practical applications across various fields.