Binomial-exponential 2 Distribution: Different Estimation Methods and Weather Applications

Bakouch, Hassan S.; Dey, Sanku; Ramos, Pedro Luiz; Louzada, Francisco

doi:10.5540/tema.2017.018.02.0233

Cited by 18 publications

(7 citation statements)

References 22 publications

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“…Regarding the parameter estimators of the proposed model, many different inferential procedures could be considered in this study (see, for instance, Bakouch et al [2] or Ramos et al [11]), however due to the large number of observations the different estimators will return similar results. Therefore, we considered the MLEs as they are implemented in R packages.…”

Section: Modeling Results Under Parametric Modelsmentioning

confidence: 99%

Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

Ramos

Nascimento

Fernandes

et al. 2019

Tend. Mat. Apl. Comput.

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The present work intends to study the effectiveness of applying Manchester Triage System to improve patient flow in a Brazilian hospital, which allow a more welcoming and decisive service. Thus, time to event techniques are applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence in the time of attendance. At the end, we provide a simple model that can be used to predict such time under different explanatory variable for a particular Brazilian hospital.

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Section: Modeling Results Under Parametric Modelsmentioning

confidence: 99%

Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

Ramos

Nascimento

Fernandes

et al. 2019

Tend. Mat. Apl. Comput.

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“…As such of the real dataset problem, related to the leukemia, free-survival times (in months) for the 50 autologous transplant patients. Many extensions from this present work can be considered, for instance, the parameters estimation may also be studied under an objective Bayesian analysis (Ramos et al, 2014 or using different classical methods (Louzada et al, 2016;Bakouch et al 2017). Other approach should be to include covariates under the assumption of Cox model, i.e., proportional hazards.…”

Section: Discussionmentioning

confidence: 99%

The Long Term Fréchet Distribution: Estimation, Properties and Its Application

Ramos¹

2017

BBIJ

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In this paper a new long-term survival distribution is proposed. The so called long term Fréchet distribution allows us to fit data where a part of the population is not susceptible to the event of interest. This model may be used, for example, in clinical studies where a portion of the population can be cured during a treatment. It is shown an account of mathematical properties of the new distribution such as its moments and survival properties. As well is presented the maximum likelihood estimators (MLEs) for the parameters. A numerical simulation is carried out in order to verify the performance of the MLEs. Finally, an important application related to the leukemia free-survival times for transplant patients are discussed to illustrates our proposed distribution

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“…The data represents total monthly rainfall during April at Sao Carlos from 1960 to 2014. The data set can be found at [4].…”

Section: Applications To Real Datamentioning

confidence: 99%

On a weighted exponential distribution with a logarithmic weight: theory and applications

et al. 2021

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A new weighted exponential distribution is proposed using a logarithmic weight function. Mathematical properties are studied, including moments, residual life function, order statistics and record values. A parametric estimation is performed using the maximum likelihood method, the weighted least-square method and the maximum product of spacing estimators method. Applications are provided using four real data sets. It is shown that our new distribution works better than a number of classical and recent distributions.

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Binomial-exponential 2 Distribution: Different Estimation Methods and Weather Applications

Cited by 18 publications

References 22 publications

Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

Medical Care in Emergency Units with Risk Classification: Time to Attendance at Hospital based on Parametric Models

The Long Term Fréchet Distribution: Estimation, Properties and Its Application

On a weighted exponential distribution with a logarithmic weight: theory and applications

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