An improved geometric algorithm for indoor localization by Junhua Yang, Yong Li, Wei Cheng

“…Comparing to trilateration, fingerprint, and maximum-likelihood method, the bilateral greed iteration method improves the localization accuracy and reduces complexity of localization process. …”
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The Optimal Control and MLE of Parameters of a Stochastic Single-Species System by Huili Xiang, Zhijun Liu

“…This paper investigates the optimal control and MLE (maximum likelihood estimation) for a single-species system subject to random perturbation. …”
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Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics by Chansoo Kim, Woosuk Kim

“…The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. …”
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A New Bivariate Extended Generalized Inverted Kumaraswamy Weibull Distribution by Mahmoud Ragab, Ahmed Elhassanein

“…The performance of the maximum likelihood method is investigated via Monte Carlo simulation depending on the bias and the standard error. …”
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A new extended Chen distribution for modelling COVID-19 data. by Amani S Alghamdi, Lulah Alnaji

“…The principal results include the derivation of key statistical properties such as the probability density function, cumulative distribution function, moments, hazard rate function, and order statistics. Maximum likelihood estimation is employed to estimate the parameters of the TLEC distribution, and simulation studies demonstrate the efficiency of the maximum likelihood method. …”
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Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

“…From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation. Furthermore, approximate confidence intervals for the parameters are constructed based on the asymptotic distribution of the maximum likelihood estimators. …”
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Estimation of Parameters of Generalized Inverted Exponential Distribution for Progressive Type-II Censored Sample with Binomial Removals by Sanjay Kumar Singh, Umesh Singh, Manoj Kumar

“…We obtained the maximum likelihood and Bayes estimators of the parameters of the generalized inverted exponential distribution in case of the progressive type-II censoring scheme with binomial removals. …”
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Modified Slash Lindley Distribution by Jimmy Reyes, Osvaldo Venegas, Héctor W. Gómez

“…Moment estimators and maximum likelihood estimators are calculated using numerical procedures. …”
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Geographically Weighted Multivariate Logistic Regression Model and Its Application by M. Fathurahman, Purhadi, Sutikno, Vita Ratnasari

“…The parameter estimation was done using the maximum likelihood estimation and Newton-Raphson methods, and the maximum likelihood ratio test was used for hypothesis testing of the parameters. …”
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Two-Stage Adaptive Optimal Design with Fixed First-Stage Sample Size by Adam Lane, Nancy Flournoy

“…We show that the distribution of the maximum likelihood estimates converges to a scale mixture family of normal random variables. …”
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Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…The parameter estimation of the maximum likelihood method and the Bayesian statistical theory was used to estimate the parameter estimation of the Normal distribution, which has been compared with the theoretical value of the pseudosample of Normal distribution. …”
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Exact Interval Inference for the Two-Parameter Rayleigh Distribution Based on the Upper Record Values by Jung-In Seo, Jae-Woo Jeon, Suk-Bok Kang

“…The maximum likelihood method is the most widely used estimation method. …”
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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…The Bayes estimator and maximum likelihood estimator of ϑ are obtained. The maximum likelihood (ML) estimator is obtained for non-Bayesian estimation, and the accompanying confidence interval is constructed using the delta approach and the asymptotic normality of ML estimators. …”
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Half-Logistic Xgamma Distribution: Properties and Estimation under Censored Samples by Rashad Bantan, Amal S. Hassan, Mahmoud Elsehetry, B. M. Golam Kibria

“…Parameter estimation of the half-logistic xgamma distribution is approached by the maximum likelihood method based on complete and censored samples. …”
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ACCELERATED ITERATIVE RECONSTRUCTION OF PHANTOM «ROZI» BY OS-SART METHOD USING ORDERED SUBSET PROJECTIONS by S. A. Zolotarev, M. M. Mieteeg, A. N. Al-Nadfa

“…The statistical maximum likelihood (EM) method and the algebraic reconstruction method with simultaneous iterations (SART) are two methods of iterative tomographic reconstruction. …”
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Estimation of the coefficients of variation for inverse power Lomax distribution by Samah M. Ahmed, Abdelfattah Mustafa

“…A simulation study and a numerical example are given to assess the performance of the maximum likelihood and Bayes estimations.…”
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A New Extended-F Family: Properties and Applications to Lifetime Data by Saima K. Khosa, Ahmed Z. Afify, Zubair Ahmad, Mi Zichuan, Saddam Hussain, Anum Iftikhar

“…General expressions for some mathematical properties of the proposed family are derived, and maximum likelihood estimators of the model parameters are obtained. …”
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RELIABILITY ANALYSIS OF RIGHT CENSORED WEIBULL DISTRIBUTION BASED ON GENETIC ALGORITHM by ZHANG Qing, ZHENG Yan, WANG Xuan, MA Min, WANG WenBo

“…According to the definitions of Weibull distribution and maximum likelihood,this paper converts the problem into a two-parameter equation to work out the optimal solution to the problem. …”
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INTERVAL ESTIMATION OF WEIBULL DISTRIBUTION BASED ON MODIFIED PIVOTAL VARIABLE METHOD (MT) by XUE GuangMing, NING Peng, FU YaoYu, HE HongRui, ZHOU Jun

“…Furthermore, comparisons with the results computed from traditional least square and maximum likelihood estimation methods were carried out by using simulation. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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