Inferences for Generalized Pareto Distribution Based on Progressive First-Failure Censoring Scheme by Rashad M. El-Sagheer, Taghreed M. Jawa, Neveen Sayed-Ahmed

“…Finally, the performance of Bayes estimates is compared with that of maximum likelihood estimates through a Monte Carlo simulation study.…”
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Biaxial fatigue tests of notched specimens for AISI 304L stainless steel by G. Beretta, V. Chaves, A. Navarro

“…The S-N curves were constructed following the ASTM E739 standard and the fatigues limits were calculated following the method of maximum likelihood proposed by Bettinelli. The crack direction along the surface was analysed, with especial attention to the crack initiation zones. …”
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Detectability constraints on meso-scale structure in complex networks. by Rudy Arthur

“…We then derive a general equivalence between optimising block modularity and maximum likelihood estimation of the parameters of the degree corrected Stochastic Block Model. …”
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Improved Estimation of the Initial Number of Susceptible Individuals in the General Stochastic Epidemic Model Using Penalized Likelihood by Changhyuck Oh

“…This short note describes how to improve the maximum likelihood estimators of the infection rate and the initial number of susceptible individuals and provides their approximate Hessian matrix for the general stochastic epidemic model by using the concept of the penalized likelihood function. …”
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Parameter Estimation on a Stochastic SIR Model with Media Coverage by Changguo Li, Yongzhen Pei, Meixia Zhu, Yue Deng

“…In order to reduce the computational load, the Newton-Raphson algorithm and Markov Chain Monte Carlo (MCMC) technique are incorporated with maximum likelihood estimation. Simulations validate our estimation results and the necessity of a model with media coverage when modeling the contagious diseases.…”
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Inference of Process Capability Index Cpy for 3-Burr-XII Distribution Based on Progressive Type-II Censoring by Rashad M. EL-Sagheer, Mustafa M. Hasaballah

“…In this paper, we discussed the estimation of the index Cpy for a 3-Burr-XII distribution based on Progressive Type-II censoring. The maximum likelihood and Bayes method have been used to obtain the estimating of the index Cpy. …”
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Harmonic Mixture Fréchet Distribution: Properties and Applications to Lifetime Data by Selasi Kwaku Ocloo, Lewis Brew, Suleman Nasiru, Benjamin Odoi

“…Estimators for the parameters of the harmonic mixture Fréchet distribution are derived using the estimation techniques such as the maximum-likelihood estimation, the ordinary least-squares estimation, the weighted least-squares estimation, the Cramér–von Mises estimation, and the Anderson–Darling estimation. …”
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Retinal thickness and vascular density changes in Keratoconus: A systematic review and meta-analysis by Hadi Vahedi, Mirsaeed Abdollahi, Reza Moshfeghinia, Shima Emami, Navid Sobhi, Rana Sorkhabi, Ali Jafarizadeh

“…We analyzed the data using STATA software 17 and the random effects model with the restricted maximum likelihood (REML) or maximum likelihood (ML) method to pool the standardized mean difference (SMD) and the weighted mean difference (WMD) of retinal thickness and vascular density compared to non-KC eyes. …”
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A Semiparametric Approach for Modeling Partially Linear Autoregressive Model with Skew Normal Innovations by Leila Sakhabakhsh, Rahman Farnoosh, Afshin Fallah, Mohammadhassan Behzadi

“…Then, the conditional maximum-likelihood approach is used to estimate the unknown parameters through the expectation-maximization (EM) algorithm. …”
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Improved Inference for Moving Average Disturbances in Nonlinear Regression Models by Pierre Nguimkeu

“…Compared to the commonly used first-order methods such as likelihood ratio and Wald tests which rely on large samples and asymptotic properties of the maximum likelihood estimation, the proposed method has remarkable accuracy. …”
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The Extended Inverse Weibull Distribution: Properties and Applications by Said Alkarni, Ahmed Z. Afify, I. Elbatal, M. Elgarhy

“…Four estimation methods, namely, the maximum likelihood, least squares, weighted least squares, and Cramér–von Mises methods, are utilized to estimate the TIHLIW parameters. …”
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New Lindley Generator Based on T-X Family of Distributions: Properties and Reliability Applications by Fatehi Yahya Eissa, Chhaya Dhanraj Sonar

“…To estimate the parameters of the new family of distributions, we utilize a range of methods, including maximum likelihood, maximum product spacing, least squares, Cramer-von Mises, and Anderson–Darling estimations. …”
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Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values by Fuad S. Al-Duais

“…Next, we compared the performance of the proposed method (WLINEX) in this work with Bayesian estimation using the LINEX loss function, Bayesian estimation using the squared-error (SEL) loss function, and maximum likelihood estimation (MLE). The evaluation depended on the difference between the estimated parameters and the parameters of completed data. …”
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Shrinkage Methods for Estimating the Shape Parameter of the Generalized Pareto Distribution by Wilhemina Adoma Pels, Atinuke O. Adebanji, Sampson Twumasi-Ankrah, Richard Minkah

“…The performance of the proposed estimators is compared with the existing estimators (i.e., maximum likelihood, likelihood moment estimators, etc.) for the shape parameter of the generalized Pareto distribution in a simulation study. …”
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The Moderating Effect of the Sector's Level of Concentration on the Relationship Between Balance Sheet Composition and the Firm's Competitive Advantage by Luiz Claudio Louzada, Márcio Augusto Gonçalves

“…We based the tests on the hierarchical model approach with repeated measures involving serial and nested regressions, estimated by maximum likelihood. The test results suggest that (i) the firm’s idiosyncratic features have greater explanatory capability for the firm’s performance than the industry features; (ii) the relation between firm idiosyncratic resources and firm performance are sensitive to industry characteristics.…”
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Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…Furthermore, point and interval estimation of the unknown parameters of the new Pareto model is obtained. Maximum likelihood and Bayesian estimation methods are considered for that purpose. …”
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Retour d’expérience sur le développement participatif d’un jeu sérieux à destination des professionnels de l’acte de construire et d’aménager by Fanny Coulombié, Véronique Dufour

“…Eventually, these first games led us to change in a significant way the balance between maximum likelihood and pedagogy.…”
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Classical and Bayesian Inference Using Type-II Unified Progressive Hybrid Censored Samples for Pareto Model by M. Nagy, Adel Fahad Alrasheedi

“…We used this censored sample to compute the maximum likelihood estimates of unknown parameters from the Pareto distribution, as well as Bayesian estimates for unknown parameters under three different error loss functions. …”
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Relationship Between Performance of the FUNDEB Municipal Board and Active and Passive Waste by Nálbia de Araujo Santos, Luana Aparecida Pereira, Daniele Silva Rodrigues

“…The methodological strategies used were the content analysis and the regression for count-data, based on the negative binomial model by maximum likelihood. The results indicated a positive and significant relationship between the lack of action of the FUNDEB Monitoring and Social Control Council and the waste of public resources allocated to basic education related to poor management. …”
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Bayesian and non-bayesian estimation of Marshall-Olkin XLindley distribution in presence of censoring, cure fraction, and application on medical data by Hleil Alrweili, Eid Sadun Alotaibi

“…We estimate the parameters of the distribution using both maximum likelihood and Bayesian approaches. We employ three medical datasets to show the MOXL distribution's adaptability. …”
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