Correlating Lower Record to Its Waiting Times with Hemoglobin Analysis
摘要
A bivariate probability model is introduced to detect information in the data to address between the lower record values and their occurring times. Statistical properties of the bivariate probability model are probed and presented, with their utilities of data analytics. Specific expressions are provided for several underlying frequency patterns of the collected data. The concepts and the analytic expressions including new measures of dependence are illustrated using the hemoglobin level data among Australian athletes. In other words, this article provides a framework of occurrence of lower record values. The framework provides methods to explore the causes and effects of next lower value and its time. Some concluding remarks for further research direction are given.