LA da Silva, LL Ho, R da Costa Quinino - Journal of Process Control, 2024 - Elsevier
Typically, failure time is modeled using continuous distributions such as the Weibull or Gamma distributions. In many practical scenarios, data is recorded in terms of discrete …
F Vilca, R Vila, H Saulo, L Sánchez… - … in Statistics-Theory and …, 2024 - Taylor & Francis
In this paper, we discuss some theoretical results and properties of a discrete version of the Birnbaum-Saunders distribution. We present a proof of the unimodality of this model …
The purpose of this paper is to present the development of the Proportional Odds Model for discrete time-to-event data in a survival analysis context. In this work, inferences about the …
In this paper, we address the problem of testing goodness-of-fit for discrete distributions, where we focus on the geometric distribution. We define new likelihood-based goodness-of …
In this article, we present the development of the proportional odds hazard model for discrete time-to-event data. In this work, inferences about the model's parameters were …
EC Biazatti, EY Nakano - REMAT: Revista Eletrônica da …, 2020 - periodicos.ifrs.edu.br
Modelos discretos não são populares em análise de sobrevivência. Isso se deve principalmente à escassez de trabalhos que abordam a análise de dados discretos na …
Y Ouyang, R Yan, J Shi - AIMS Mathematics, 2024 - aimspress.com
The multi-parameter estimation of discrete distribution without closed-form solutions by the US algorithm Page 1 https://www.aimspress.com/journal/Math AIMS Mathematics, 9(9) …
The use of continuous probability distributions has been widespread in problems with purely discrete nature. In general, such distributions are not appropriate in this scenario. In this …
A Pallini - Statistica, 2022 - rivista-statistica.unibo.it
The discrete power half-normal distribution is introduced, as the discretization of the power halfnormal distribution, based on the difference of values of the continuous survival function …