Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications by Farwa Willayat, Naz Saud, Muhammad Ijaz, Anita Silvianita, Mahmoud El-Morshedy

“…Estimation of the unknown parameters is carried out by the method of maximum likelihood. A simulation study is conducted using three different iterative methods with different samples of sizes n. …”
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Sufficient statistics for the Pareto distribution parameter by I. S. Pulkin, A. V. Tatarintsev

“…On the basis of the maximum likelihood method the distribution degree indicator is estimated. …”
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Competing Risks in Accelerated Life Testing: A Study on Step-Stress Models with Tampered Random Variables by Hanan Haj Ahmad, Ehab M. Almetwally, Dina A. Ramadan

“…This study employs the TRV model to integrate constant tampering coefficients for each failure cause within step-stress data analysis. Maximum-likelihood estimates for model parameters and tampering coefficients are derived from SSLT data, and some confidence intervals are presented based on the Type-II censoring scheme. …”
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On the power of Gini index-based goodness-of-fit test for the Inverse Gaussian distribution by Hadi Alizadeh Noughabi, Mohammad Shafaei Noughabi

“…To facilitate the application of the test, we estimate the unknown parameters of the Inverse Gaussian distribution using maximum likelihood estimators. Monte Carlo methods are utilized to determine the critical points and assess the actual sizes of the test. …”
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Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values by Fuad S. Al-Duais, Mohammed Alhagyan

“…Comparisons are made between Bayesian estimators (SE, BSE, LINEX, and BLINEX) and maximum likelihood estimator via Monte Carlo simulation. …”
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A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. by Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang

“…In the oracle case with known transferable source datasets, a transfer learning algorithm based on penalized maximum likelihood and expectation-maximization algorithm is established. …”
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The Arcsine Exponentiated-X Family: Validation and Insurance Application by Wenjing He, Zubair Ahmad, Ahmed Z. Afify, Hafida Goual

“…Based on the proposed approach, a three-parameter extension of the Weibull distribution called the arcsine exponentiated-Weibull (ASE-W) distribution is studied in detail. Maximum likelihood is used to estimate the model parameters, and its performance is evaluated by two simulation studies. …”
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A Bounded Lifetime Distribution Specified by a Trigonometric Function: Properties, Regression Model, and Applications by Simon A. Ogumeyo, Festus C. Opone, Abdul Ghaniyyu Abubakari, Jacob C. Ehiwario

“…Seven methods of parameter estimation, including maximum likelihood, ordinary least squares, weighted least squares, moment product spacing, Anderson–Darling, and Cramér–von Mises estimators are used to estimate the parameters of the new distribution. …”
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The complete plastid genome of Citrus hystrix DC. 1813 (Rutaceae) and its phylogenetic analysis by Wan Shuan Lee, Warut Donrung, Bui Manh Hung, Nurien Hidayu Muhamad Rusly, Shiou Yih Lee, Tawatchai Tanee

“…The plastome was A/T biassed, and the overall GC content was 38.4%. Using maximum likelihood and Bayesian inference methods, the phylogenetic analysis of the complete plastome sequence revealed a close relationship between C. hystrix and C. aurantiifolia, placing them under the same clade as C. micrantha.…”
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Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with applicatio... by Mustafa M. Hasaballah, Oluwafemi Samson Balogun, M. E. Bakr

“…Key objectives include the development of maximum likelihood estimators and asymptotic confidence intervals, alongside Bayesian estimation techniques using Markov chain Monte Carlo methods. …”
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Biaxial fatigue tests and crack paths for AISI 304L stainless steel by V. Chaves, C. Madrigal, A. Navarro

“…The S-N curves were built following the ASTM E739 standard and the method of maximum likelihood proposed by Bettinelli. The fatigue limits of the biaxial tests were represented in axes ?…”
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Modelling seasonal influenza in Israel by Oren Barnea, Rami Yaari, Guy Katriel, Lewi Stone

“…The results were corroborated by implementing a stochastic model and using a maximum likelihood approach. The paper discusses the difficulties in estimating these important parameters especially when the reporting rate of influenza cases might only be known with limited accuracy, as is generally the case. …”
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Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils by Alhadi E. Alamir, Gomah E. Nenaah, Mohamed A. Hafiz

“…A generalized inverse matrix technique was used to estimate the mortality model parameters instead of the usual statistical iterative maximum likelihood estimation. As this technique needs to perturb the observed mortality proportions if the proportions include 0 or 1, the optimal perturbation in terms of minimum least squares ($L_2$) error was also determined. …”
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Morphology and multigene phylogeny revealed four new species of Geastrum (Geastrales, Basidiomycota) from China by Xin Yang, Yonggao Zhu, Songjing Duan, Xingxing Wu, Changlin Zhao

“…Sequences of the internal transcribed spacers (ITS), large subunit (nrLSU), the largest subunit of ribosomal polymerase II (RPB1), and subunit 6 of ATP synthase (ATP6) of the nuclear ribosomal DNA (rDNA) markers of the studied samples were generated, and the phylogenetic analyses were performed with maximum likelihood, maximum parsimony and Bayesian inference methods. …”
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Fault-tolerant quantum memory using low-depth random circuit codes by Jon Nelson, Gregory Bentsen, Steven T. Flammia, Michael J. Gullans

“…In addition, we also extend results in the code capacity setting by developing a maximum likelihood marginal decoder for depolarizing noise similar to work by Darmawan et al. …”
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Human Settlements Interactions and Deforestation in Gambari Forest Reserve located in Oluyole Local Government Area (LGA) of Oyo State, Nigeria by E.O. Toyinbo, R.A. Fasasi, C.F. Agbor, C.O. Fakorede

“…Landsat images of 1984 and 2019 were used to extract land cover types using maximum likelihood classifier in Idrisi environment. The level of attractiveness and Interactions of the communities with the reserve were determined employing gravitational model. …”
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Comparison of Lesion Detection and Quantification in MAP Reconstruction with Gaussian and Non-Gaussian Priors by Jinyi Qi

“…It has been shown that the effect of a Gaussian prior can be approximated by linear filtering a maximum likelihood (ML) reconstruction. As a result, sharp edges in reconstructed images are not preserved. …”
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Bayesian and non-bayesian inference for logistic-exponential distribution using improved adaptive type-II progressively censored data. by Subhankar Dutta, Hana N Alqifari, Amani Almohaimeed

“…The classical technique involves constructing maximum likelihood estimators of the model parameters and their asymptotic covariance matrix, followed by estimating the distribution's reliability using survival and hazard functions. …”
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The complete chloroplast genome of Aster scaber Thunb. 1784 (Asteraceae) by Yue Sheng, Yu-tong Huang, Yan-ping Xing, Chun-yan Li, Zi-xin Tang, Yan-yun Yang, Liang Xu

“…Phylogenetic analysis using the maximum likelihood method showed that A. scaber is closely related to Aster species. …”
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The Reliability Model for Bike-Sharing Dispatch Based on Hotspot Detection and Hypothesis Test: A Case Study in Beijing by Chao Sun, Jian Lu

“…By adopting different distribution forms, including Poisson distribution, Rayleigh distribution, exponential distribution, normal distribution, and gamma distribution, we examine the distribution characteristics of OD differences. The maximum likelihood estimation (MLE) technique is applied for model calibration, and chi-squared statistics are used to identify the acceptance of the null hypothesis. …”
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