Using Time-Inhomogeneity Markov Chain For Testing Kidney Diseases Departures: Apply Study For Razgari Hospital in Erbil-Iraq
Abstract
Numerous research projects in many area concentrate on phenomena that develop over extended times rather than those that are only visible at particular discrete intervals in time. The mechanisms underlying these observations are frequently selected to be represented by time-homogeneous stochastic processes (Markov model). To evaluate the suitability of these models, we process two test statistics. The first test evaluates the overall quality of fit, and the second test evaluates regional departures from homogeneity in the temporal direction. Information on the spread of two Kidney diseases is examined prior to death for 40 kidney disease patients in Rizgari Hospital during the period (2020-2022) . The results of both tests were significant. The statistical social science state SPSS has been used for this study.
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