Ruin Probability Analysis in Automobile Insurance Using Gamma-Cubic Transmuted Exponential Distribution for Claim Severity by Jiramet Hengcharoensuk, Adisak Moumeesri

“…Its parameters are estimated using the maximum likelihood estimation (MLE) method. The performance of GCTE distribution is compared with well-known loss distributions such as Gamma, Weibull, Lognormal, Inverse Gaussian, mixture Lognormal, and the Cubic Transmuted Exponential (CTE) distribution to identify the best-fitting distribution for claim severity data. …”
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An improved extension of Xgamma distribution: Its properties, estimation and application on failure time data by Abdullah M. Alomair, Ayesha Babar, Muhammad Ahsan-ul-Haq, Saadia Tariq

“…Five approaches are used for parameter estimation: maximum likelihood, Anderson-Darling, Cramér-von Mises, ordinary, and weighted least squares. …”
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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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Optimizing Poisson-Lindley Parameter Estimation: LQM and Reliability Analysis Applied to Guinea Pig Survival Data by Sameera Othman

“… The main objective of this work is to estimate the scale parameter of the Poisson Lindley distribution by means of multiple approaches, such as Poisson Linear Quantile-Moment and Maximum Likelihood. Based on mean square error criteria(MSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC), Linear Quantile-Moment is the most efficient estimator among these techniques. …”
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New Hosts of Simplicimonas similis and Trichomitus batrachorum Identified by 18S Ribosomal RNA Gene Sequences by Kris Genelyn B. Dimasuay, Orlie John Y. Lavilla, Windell L. Rivera

“…Aligned isolate sequences together with retrieved 18S rRNA gene sequences of known trichomonads were utilized to generate phylogenetic trees using maximum likelihood and neighbor-joining analyses. Two isolates from carabao were identified as Simplicimonas similis while each isolate from dog and pig was identified as Pentatrichomonas hominis and Trichomitus batrachorum, respectively. …”
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Remaining Useful Life Estimation of Fan Slewing Bearings in Nonlinear Wiener Process with Random Covariate Effect by Mingjun Liu, Zengshou Dong, Hui Shi, Yujia Zheng, Min Zhang

“…Moreover, the closed expression for the RUL probability density function(PDF) is derived for the random variation of drift coefficients, the individual differences and the random variation of covariates. Thirdly, the maximum likelihood estimation algorithm is used to estimate the RUL parameters depending on the historical degradation data. …”
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A new statistical model with optimal fitting performance: Its assessments in management sciences and reliability by Zhidong Liang

“…Additionally, properties based on quartiles are explored, and the derivation of maximum likelihood estimators is presented. A simulation study is conducted to enhance the understanding of the distribution. …”
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On Individual Repositioning Distance along Platform during Train Waiting by Fabien Leurent, Xiaoyan Xie

“…The resulting PDF formulae make likelihood functions of the model parameters. Maximum likelihood estimation is proposed and applied to a case study of commuter rail line in Paris: journeys between stations Vincennes and La Défense along line A of the Regional Express Railways. …”
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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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A new statistical approach with simulation study: Its implementations in management sciences and reliability by Zhidong Liang

“…We derive the quartile-based properties and formulates the maximum likelihood estimators. Additionally, a simulation study is performed to validate the theoretical findings. …”
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Neutrosophic Exponential Distribution: Modeling and Applications for Complex Data Analysis by Wen-Qi Duan, Zahid Khan, Muhammad Gulistan, Adnan Khurshid

“…The estimation of a neutrosophic parameter by the method of maximum likelihood is discussed and illustrated with examples. …”
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Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions by Mahmoud Ragab, Aisha Fayomi, Ali Algarni, G. A. Abd-Elmougod, Neveen Sayed-Ahmed, S. M. Abo-Dahab, S. Abdel-Khalek

“…The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. …”
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Correlation Analysis of Spatial Distribution, Temporal Seismotectonics, and Return Period of Earthquake in East Nusa Tenggara, Indonesia by Hery Leo Sianturi, Adi Susilo, Sunaryo, Sukir Maryanto

“…This paper presents spatial distribution, temporal seismotectonics, and return period of earthquake in East Nusa Tenggara Province, Indonesia, using earthquake data and Maximum Likelihood methods. The data used are ISC, USGS/NEIC, and Indonesian Meteorology, Climatology and Geophysics Agency (IMCGA) earthquake catalog data for the period of 1918 to 2015. …”
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The Adjustment of Covariates in Cox’s Model under Case-Cohort Design by Guocai Rong, Luwei Tang, Wenting Luo, Qing Li, Lifeng Deng

“…For calculating the maximum likelihood estimates of the regression coefficients subject in Cox’s model, a minorization-maximization (MM) algorithm is developed. …”
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The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia by M. Nagy, Ehab M. Almetwally, Ahmed M. Gemeay, Heba S. Mohammed, Taghreed M. Jawa, Neveen Sayed-Ahmed, Abdisalam Hassan Muse

“…We introduced some of statistical properties for the new distribution, such as linear representation and quantile function. The maximum likelihood estimation (MLE) method is applied to estimate the unknown parameters of the DEOWE distribution. …”
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An Empirical Study on Relationship between Residents’ Disposable Income and CPI Based on TVECM: Application of Bootstrap SupLM Testing for Threshold Cointegration by Jungang Du

“…We propose an algorithm to obtain maximum likelihood estimation under the condition of cointegration vector and threshold value which are unknown and then propose a SupLM test for the presence of a threshold. …”
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A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements by Zhixin Liu, Yongjun Zhao, Dexiu Hu, Chengcheng Liu

“…Then, the coarse location estimation is obtained by maximum likelihood estimation (MLE). Finally, more accurate location estimation is achieved by subtracting theoretical bias, which is approximated by the actual bias using the estimated source location and noisy data measurement. …”
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A Jump Diffusion Model with Fast Mean-Reverting Stochastic Volatility for Pricing Vulnerable Options by Joy K. Nthiwa, Ananda O. Kube, Cyprian O. Omari

“…Our proposed model was fitted to S&P 500 Index by maximum likelihood estimation for the mean and volatility processes and Gillespie algorithm for the jump process. …”
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İHRACAT-İTHALAT VE EKONOMİK BÜYÜME ARASINDAKİ İLİŞKİLERİN BİLGİ YAYILMALARI ÇERÇEVESİNDE ANALİZİ: JOHANSEN VE PESARAN SINIR TESTİ UYGULAMASI by Pınar Yardımcı, Doğan Uysal

“…Yıllık verilerin kullanılacağı bu çalışmada eş-bütünleşme İçin Johansen (maximum likelihood estimation) ve Pesaran sınır testi (bound test) tekniklerine başvurulmaktadır. …”
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Fast Transient Thermal Analysis of Non-Fourier Heat Conduction Using Tikhonov Well-Conditioned Asymptotic Waveform Evaluation by Sohel Rana, Jeevan Kanesan, Ahmed Wasif Reza, Harikrishnan Ramiah

“…The non-Fourier heat conduction has been investigated where the maximum likelihood (ML) and Tikhonov regularization technique were used successfully to predict the accurate and stable temperature responses without the loss of initial nonlinear/high frequency response. …”
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