Testing the probability distribution models for the patients' lengths of stay in hospital

Hastanede Yatma Sürelerinin Olasılık Dağılımı tartışma konusudur. Literatürde, hastanede yatma süreleri verileri için Weibull, Gamma ve Lognormal dağılımları çoğunlukla kullanılan dağılımlardır. Son yıllarda, araştırmacılar Kuvvet Yasası Olasılık Dağılımın ın bu veriye iyi uyduğuna yönelik kanıtlar bulmuştur Bu çalışma, verilerin Kuvvet Yasası, Weibull, Gamma ve Lognormal dağılımına sahip olup olmadığının araştırılmasına odaklanmıştır. Bu amaçla, bir Türk hastanesi örneklemi kullanılmış ve test edilmiştir. Sonuçlar, Türkiye örneği için verilerin Lognormal Olasılık Dağılımına sahip olduğunu göstermektedir

Hastanede yatma süreleri için olasılık dağılımı modellerinin test edilmesi

The Probability Distribution of Lengths of Stay in Hospital is a matter of debate. Weibull, Gamma and Lognormal distributions are commonly used distributions for the Lengths of Stay in hospital data in the related Literature. In recent years, researchers found evidence that Power Law Probability Distribution fits well to this data. This study focused on the investigation of whether the distribution of the data follows Power Law, Weibull, Gamma and Log normal or not. For this purpose, a sample of a Turkish Hospital data was used and tested. Results show that the data follows a Lognormal Probability Distribution for the Turkish Case

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