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Research article

First published 2023-2

The odd extended log-logistic family: Properties,regression,simulations and applications

Gauss M. Cordeiro, Fábio Prataviera, Edwin M.M. Ortega [...]

Model Assisted Statistics and Applications

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Research article

First published 2008-08

Describing variability of MSW composition data with the log-logistic distribution

Mark W. Milke, Vincent Wong, Edward A. McBean

Waste Management & Research: The Journal for a Sustainable Circular Economy

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Research article

First published 1995-11

The Log-Logistic Rate Model

JOSEF BRÜEDERL, ANDREAS DIEKMANN

Sociological Methods & Research

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Research article

First published 2017-1

Log-Logistic Proportional Odds Model for Analyzing Infant Mortality in Bangladesh

Most. Fatima-Tuz-Zahura, Khandoker Akib Mohammad, Wasimul Bari

Asia Pacific Journal of Public Health

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Research article

First published 2016-5

Optimal design strategies for relative potency using the two-parameter log-logistic model

Pattaraporn Tusto, Timothy E. O'Brien, Montip Tiensuwan

Model Assisted Statistics and Applications

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Research article

First published 2019-8

The log-odd logistic-Weibull regression model under informative censoring

Edwin M.M. Ortega, José Nilton da Cruz, Gauss M. Cordeiro

Model Assisted Statistics and Applications

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Research article

First published 2024-2

New results and regression model for the exponentiated odd log-logistic family with applications

Gabriela M. Rodrigues, Roberto Vila, Edwin M.M. Ortega [...]

Model Assisted Statistics and Applications

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Research article

First published 2009-12

Optimum simple ramp test for the log-logistic distribution with censoring

P W Srivastava, R Shukla

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2003-04

Monte Carlo conditional inference for log-linear and logistic models: a survey of current methodology

B S Caffo, J G Booth

Statistical Methods in Medical Research

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Research article

First published 2018-8

Log-likelihood-based Pseudo- R 2 in Logistic Regression

Giselmar A. J. Hemmert, Laura M. Schons, Jan Wieseke [...]

Sociological Methods & Research

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