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Lognormal-based mixture models for robust fitting of hospital length of stay distributions

Operations Research for Health Care, 2019
Understanding the structure of length of stay distributions can support operational and clinical decision making in hospitals. Our objective is to develop robust methods for fitting these length of stay distributions, which are often skewed and ...
Xu Zhang   +4 more
semanticscholar   +1 more source

Ship Detection in SAR Images Based on Lognormal $\rho$ -Metric

IEEE Geoscience and Remote Sensing Letters, 2018
Information geometry emerged from the study of the geometrical structure of a manifold of probability distributions. It defines a Riemannian metric uniquely, which is Fisher information metric. However, the classical Fisher metric method has a limitation
Meng-Hsien Yang, Chunsheng Guo
semanticscholar   +1 more source

Comparison of Weibull and Lognormal Cure Models with Cox in the Survival Analysis Of Breast Cancer Patients in Rafsanjan

Journal of research in health sciences, 2017
Background: Breast cancer is the most common cancer after lung cancer and the second cause of death. In this study we compared Weibull and Lognormal Cure Models with Cox regression on the survival of breast cancer. Study design: A cohort study.
Minasadat Hoseini   +2 more
semanticscholar   +1 more source

Is Gibrat’s “Economic Inequality” lognormal?

Empirical Economics, 2020
S. B. Akhundjanov, Alexis Akira Toda
semanticscholar   +1 more source

Sinyalize Arterlerdeki Araç Takip Aralıklarının İncelenmesi

, 2014
S. Çalışkanelli   +4 more
semanticscholar   +1 more source

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce   +2 more
exaly  

Multivariate poisson lognormal modeling of crashes by type and severity on rural two lane highways.

Accident Analysis and Prevention, 2017
Kai Wang   +3 more
semanticscholar   +1 more source

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