A Logistic Trigonometric Generalized Class of Distribution Characteristics, Applications, and Simulations by Zafar Mahmood, Hazar A. Khogeer, Eslam Hussam Hafez, Md. Moyazzem Hossain

“…For parametric estimation, the maximum likelihood approach is used, and simulation analysis is performed to ensure that the estimates are asymptotic. …”
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Analysis of Type-II Censored Competing Risks’ Data under Reduced New Modified Weibull Distribution by Saad J. Almalki, Tahani A. Abushal, M. D. Alsulami, G. A. Abd-Elmougod

“…The model parameters under the type-II censoring scheme are estimated with the maximum likelihood method with the corresponding asymptotic confidence intervals. …”
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The Half-Logistic Generalized Weibull Distribution by Masood Anwar, Amna Bibi

“…The parameters involved in the model are estimated using the method of maximum likelihood estimation. The asymptotic distribution of the estimators is also investigated via Fisher’s information matrix. …”
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Confirmatory Factor Analysis of the Personal Growth Initiative Scale-II in Indonesian Women Leaders by Dhini Rama Dhania, Fendy Suhariadi, Fajrianthi Fajrianthi

“…The results showed that the maximum likelihood estimation (MLE) matched scores with different ranges. …”
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High-Speed Wireline Links—Part I: Modeling by Hossein Shakiba, Davide Tonietto, Ali Sheikholeslami

“…In a wireline link, we wish to model a wide variety of architectures and optimize their parameters, such as the feedforward equalizer and decision feedback equalizer tap coefficients, continuous-time linear equalizer frequency response, termination impedances, and possibly maximum-likelihood sequence estimation parameters, for a given channel and within a given set of constraints as dictated by the application requirements so as to minimize the link’s bit error rate. …”
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Comparing the Linear and Quadratic Discriminant Analysis of Diabetes Disease Classification Based on Data Multicollinearity by Autcha Araveeporn

“…Linear and quadratic discriminant analysis are two fundamental classification methods used in statistical learning. Moments (MM), maximum likelihood (ML), minimum volume ellipsoids (MVE), and t-distribution methods are used to estimate the parameter of independent variables on the multivariate normal distribution in order to classify binary dependent variables. …”
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Markov Switching Model Analysis of Implied Volatility for Market Indexes with Applications to S&P 500 and DAX by Luca Di Persio, Samuele Vettori

“…We will take into account two different approaches for inference on Markov switching models, namely, the classical approach based on the maximum likelihood techniques and the Bayesian inference method realized through a Gibbs sampling procedure. …”
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Secant Kumaraswamy Family of Distributions: Properties, Regression Model, and Applications by Salifu Nanga, Shei Baba Sayibu, Irene Dekomwine Angbing, Mubarika Alhassan, Abdul-Majeed Benson, Abdul Ghaniyyu Abubakari, Suleman Nasiru

“…Five special cases of the family of distributions are presented, and their flexibility is shown by the varying degrees of skewness and kurtosis and nonmonotonic hazard rates. The maximum likelihood estimation method is used to obtain estimators of the family of distributions. …”
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SAGE-Based Algorithm for Direction-of-Arrival Estimation and Array Calibration by Kunlai Xiong, Zheng Liu, Wenli Jiang

“…Based on this model, the Space Alternating Generalized Expectation-Maximization (SAGE) algorithm is applied to jointly estimate the DOA and array perturbation parameters, which simplifies the multidimensional search procedure required for finding maximum likelihood (ML) estimates. The proposed method inherits the characteristics of good convergence and high estimation precision of the SAGE algorithm. …”
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Nested Copula Model for Overall Seismic Vulnerability Analysis of Multispan Bridges by Ming Ma, Xiaoguang Wang, Naidong Liu, Shuai Song, Shuai Wang

“…The correlation of components was modeled with copula functions, and the nested copula model of the system was eventually developed. Maximum likelihood estimation and goodness-of-fit test were used to select and optimize the copula functions. …”
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Morphological and phylogenetic analyses reveal four novel species of Distoseptispora (Distoseptisporaceae, Distoseptisporales) from southern China by Ming-Gen Liao, Xing-Xing Luo, Ya-Fen Hu, Rafael F. Castañeda-Ruíz, Zhao-Huan Xu, Jian Ma

“…Phylogenetic analyses of ITS, LSU, RPB2, and TEF1 sequence data using maximum-likelihood (ML) and Bayesian inference (BI) methods revealed the systematic placement of several Sporidesmium-like species within Distoseptispora. …”
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Marshall–Olkin Alpha Power Weibull Distribution: Different Methods of Estimation Based on Type-I and Type-II Censoring by Ehab M. Almetwally, Mohamed A. H. Sabry, Randa Alharbi, Dalia Alnagar, Sh. A. M. Mubarak, E. H. Hafez

“…Based on Type-I censored and Type-II censored samples, maximum likelihood estimation (MLE), maximum product spacing (MPS), and Bayesian estimation for the MOAPW distribution parameters are discussed. …”
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The effect of non-tariff measures (NTMS) on Indonesian pulp and paper exports by Rissa Hurulaini Ramadhani Nasution

“…The gravity model is estimated by a fixed effects model, Poisson Pseudo Maximum Likelihood, and Hausman Taylor model. The results indicated that the imposition of SPS and TBT of destination countries presented a positive and significant impact upon the Indonesian export of pulp. …”
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Five New Species of Pezizales from Northeastern China by Zhengqing Chen, Tolgor Bau

“…These included <i>Pulvinula</i> (<i>Pulvinula elsenensis</i>, <i>Pulvinula sublaeterubra</i>), <i>Microstoma</i> (<i>Microstoma jilinense</i>, <i>Microstoma changchunense</i>), and <i>Sarcoscypha</i> (<i>Sarcoscypha hongshiensis</i>). Maximum likelihood and Bayesian analyses were performed using a combined nuc rDNA internal transcribed spacer region (ITS) and nuc 28S rDNA (nrLSU) dataset for the construction of phylogenetic trees. …”
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Wetland vegetation mapping improved by phenological leveraging of multitemporal nanosatellite images by Lucas T. Fromm, Laurence C. Smith, Ethan D. Kyzivat

“…We use PlanetScope Dove-R images, field training data, and PL to map wetland landcover in a complex riverine wetland in Rhode Island, USA. Maximum Likelihood (MLC), Support Vector Machine (SVM), and Artificial Neural Network (ANN) classification algorithms are tested on individual, monthly- and multi-seasonal composite images. …”
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Statistical and Physical Descriptions of Raindrop Size Distributions in Equatorial Malaysia from Disdrometer Observations by Hong Yin Lam, Jafri Din, Siat Ling Jong

“…Moreover, the parameters of the Gamma distribution and the normalized Gamma model are also derived by means of method of moment (MoM) and maximum likelihood estimation (MLE). Their performances are subsequently validated using the rain rate estimation accuracy: the normalized Gamma model with the MLE-generated shape parameter µ was found to provide better accuracy in terms of long-term rainfall rate statistics, which reflects the peculiarities of the local climatology in this heavy rain region. …”
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A New Ridge-Type Estimator for the Gamma Regression Model by Adewale F. Lukman, Issam Dawoud, B. M. Golam Kibria, Zakariya Y. Algamal, Benedicta Aladeitan

“…The parameters in both models are estimated using the maximum likelihood estimator (MLE). However, the MLE becomes unstable in the presence of multicollinearity for both models. …”
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Inverted Length-Biased Exponential Model: Statistical Inference and Modeling by Waleed Almutiry

“…In the case of complete and type II censored samples (TIICS), the maximum likelihood (MLL) strategy can be used to estimate the model parameters. …”
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USING ECONOMETRICS TO UNDERSTAND INCLUSION OF PERSONS WITH DISABILITIES IN THE WORKFORCE OF BOSNIA AND HERZEGOVINA by Ensar Šehić, Elman Šatrović, Seid Fijuljanin

“…The research team uses a sample of 101 employers from BiH and performs the logit model maximum likelihood estimation. The results show that the size of organization, in terms of the number of employees, primarily influences the likelihood of employment of persons with disabilities. …”
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Statistical Inferences to the Parameter and Reliability Characteristics of Gamma-mixed Rayleigh Distribution under Progressively Censored Data with Application by Kousik Maiti, Suchandan Kayal

“…The sufficient condition for the existence and uniqueness of the maximum likelihood estimates (MLE) is obtained. We compute MLEs using the expectation-maximization (EM) algorithm. …”
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