Enhanced modeling of directional data using truncated wrapped Akash distribution for geological and environmental applications

Key Points

• Directional data modeling shows significant improvement, enhancing the accuracy of predictions in geological studies and environmental assessments.
• Key metrics demonstrate enhanced data fitting capabilities with the truncated wrapped Akash distribution applied in diverse scientific contexts.
• Application of novel statistical methods allows more precise interpretation of complex directional datasets in geological and environmental research.
• This technique suggests better modeling outcomes for future studies, indicating the need for further exploration in various scientific fields.