Evaluation of Land Use Change Trends Using Landscape Measurements (Case Study: Pakdasht City) by Alireza Thernasab, Leila Ebrahimi, Ameneh Haghzad, Mehrdad Ramezan Por

“…These images were classified in ENVI 5.3 software based on the maximum likelihood algorithm. Then the accuracy of the maps obtained from the maximum likelihood algorithm was estimated. …”
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application by Muhammad Nauman Akram, Muhammad Amin, Faiza Sami, Adam Braima Mastor, Omer Mohamed Egeh, Abdisalam Hassan Muse

“…Generally, the maximum likelihood estimator is used for the estimation of unknown parameters of the COMP regression model. …”
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A New Lifetime Distribution and Its Power Transformation by Ammar M. Sarhan, Lotfi Tadj, David C. Hamilton

“…Finally, a simulation study is carried out to investigate the mean square error of the maximum likelihood estimators, the coverage probability, and the width of the confidence intervals of the unknown parameters.…”
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General Improvements of Heuristic Algorithms for Low Complexity DOA Estimation by Haihua Chen, Haoran Li, Mingyang Yang, Changbo Xiang, Masakiyo Suzuki

“…Heuristic algorithms are considered to be effective approaches for super-resolution DOA estimations such as Deterministic Maximum Likelihood (DML), Stochastic Maximum Likelihood (SML), and Weighted Subspace Fitting (WSF) which are involved in nonlinear multi-dimensional optimization. …”
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Improved QRD-M Detection Algorithm for Generalized Spatial Modulation Scheme by Xiaorong Jing, Mingyue Wang, Wei Zhou, Hongqing Liu

“…Based on the QRD, the improved algorithm firstly transforms the maximum likelihood (ML) detection of the GSM signals into searching an inverted tree structure. …”
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Statistical Inference for Heavy-Tailed Burr X Distribution with Applications by Mohamed Kayid, Vasili B. V. Nagarjuna, Mohammed Elgarhy

“…The simulation results showed the computational efficiency of these strategies and showed that the maximum likelihood strategy of estimation is the best strategy. …”
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Inverse Exponentiated Lomax Power Series Distribution: Model, Estimation, and Application by Amal S. Hassan, Ehab M. Almetwally, Samia C. Gamoura, Ahmed S. M. Metwally

“…The methods of maximum likelihood and Bayesian estimations are used to estimate the model parameters of one optional model. …”
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An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles by Jinchao Zhao, Ya Zhang, Shizhong Li, Jiaxuan Wang, Lingling Fang, Luoyin Ning, Jinghao Feng, Jianwu Zhang

“…An estimation model for system noise, the adaptive Unscented Kalman Filter (UKF) algorithm was derived in light of the maximum likelihood criterion and optimized by applying the rolling-horizon estimation method, using the Newton–Raphson algorithm for the maximum likelihood estimation of noise statistics, and it was verified by simulation experiments using the Lie group inertial navigation error model. …”
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Estimating the Reliability Function for a Family of Exponentiated Distributions by Ajit Chaturvedi, Anupam Pathak

“…Uniformly minimum variance unbiased estimators and maximum likelihood estimators are derived. A comparative study of the two methods of estimation is done. …”
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A Note On the Estimation of the Poisson Parameter by S. S. Chitgopekar

“…This paper considers the problem of estimating the mean of a Poisson distribution when there are errors in observing the zeros and ones and obtains both the maximum likelihood and moments estimates of the Poisson mean and the error probabilities. …”
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ESTIMATION OF THE SHAPE PARAMETER IN LOMAX DISTRIBUTION BASED ON INTERVAL DATA by LONG Bing, XI ChangXin

“…The maximum likelihood method is used to estimate the unknown shape parameter in Lomax distribution under interval data, the expression of the shape parameter can not be obtained.The iterative formula of shape parameter can be obtained by using EM algorithm, it is easy to get the estimated value and the estimation has good convergence. …”
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The MLE of the Parameters of a Discrete Competitive System Subject to Environmental Noise by Huili Xiang, Zhijun Liu

“…A randomized discrete competitive system is investigated and the maximum likelihood estimation (MLE) of the parameters of the system is obtained. …”
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Detection of Burned Areas by Remote Sensing Techniques: İzmir Seferihisar Forest fire case study by Aslı Sabuncu, Haluk Özener

“…Besides NDVI and NBR indices results, maximum likelihood algorithm which is supervised classification method was applied to pre and post fire satellite images. …”
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The Lomax-Claim Model: Bivariate Extension and Applications to Financial Data by Jin Zhao, Humaira Faqiri, Zubair Ahmad, Walid Emam, M. Yusuf, A. M. Sharawy

“…The parameters of the Lomax-Claim model are estimated using the maximum likelihood estimation method. The behaviors of the maximum likelihood estimators are examined by conducting a brief Monte Carlo study. …”
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A novel signal detection algorithm of multiple-input multiple-output Vertical-Bell Laboratories Layered Space-Time for underwater acoustic networks based on the improved minimum me... by Gaoli Zhao, Jianping Wang, Junping Song, Wei Chen

“…Results indicate that our algorithm maintains bit error ratio and the processing delay to that of maximum likelihood Vertical-Bell Laboratories Layered Space-Time algorithm. …”
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SARS-Cov-2 Incidence Monitoring and Statistical Estimation of the Basic and Time-Varying Reproduction Number at the Early Onset of the Pandemic in 45 Sub-Saharan African Countries. by Oduro, Michael Safo, Arhin‐Donkor, Seth, Asiedu, Louis, Kadengye, Damazo T., Iddi, Samuel

“…The region’s basic reproduction number (R0) was 1.89 (95% CI: 1.767 to 2.026) using the growth model and 1.513 (95% CI: 1.491 to 1.535) with the maximum likelihood method, indicating that, on average, infected individuals transmitted the virus to less than two secondary persons. …”
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Classical and Bayesian Inference under Burr-X Distribution Based on New Unified Progressive Hybrid Censoring Scheme with Engineering Applications by Saieed F. Ateya, Randa Alharbi, Mutua Kilai, Ramy Aldallal

“…The estimation problem of Burr-X distribution parameters has been studied using the maximum likelihood and Bayes approaches based on the suggested unified progressive hybrid censored samples. …”
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The Exponentiated Exponential-Inverse Weibull Model: Theory and Application to COVID-19 Data in Saudi Arabia by Majdah Mohammed Badr, Ghaida Sobahi

“…The new model’s basic mathematical characteristics are studied. The maximum likelihood (ML) estimator (MLE) approach is used to estimate the parameters. …”
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Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model by Maha A. Aldahlan

“…Also, its hazard rate function can be decreasing and upside-down. The maximum likelihood (ML) estimation method is used to estimate the parameters of the distribution. …”
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Gaussian Estimation of One-Factor Mean Reversion Processes by Freddy H. Marín Sánchez, J. Sebastian Palacio

“…We propose a new alternative method to estimate the parameters in one-factor mean reversion processes based on the maximum likelihood technique. This approach makes use of Euler-Maruyama scheme to approximate the continuous-time model and build a new process discretized. …”
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