Earthquake Statistical Parameters Analysis and Regional Variations of March 02, 2017 Adıyaman-Samsat Earthquake (Ml = 5.7) by Using its Aftershocks by Nihan HOSKAN

“…Afterwards, the completeness magnitude Mc=1.6 was obtained with the moving time window approach and using maximum likelihood method, b-value was calculated as 0.768±0.03 for the whole region. …”
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Extreme‐Event Magnetic Storm Probabilities Derived From Rank Statistics of Historical Dst Intensities for Solar Cycles 14–24 by Jeffrey J. Love

“…Three different models are fitted to the cycle‐ranked −Dst1 and −Dst2 values using a maximum‐likelihood algorithm: A Gumbel model, an unconstrained Generalized‐Extreme‐Value model, and a Weibull model constrained to have a physically justified maximum storm intensity of −Dstm = 2500 nT. …”
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Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security by Jing Luo, Dai Zhou, Wenjun Ma, Guohua Zhao

“…Then, based on the large amount of travel willingness data obtained through the stated preference survey, a maximum likelihood estimation method is used to calibrate the parameters of the binary Logit model. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…These methods are maximum likelihood, Anderson-Darling, right-tailed Anderson-Darling, left-tailed Anderson-Darling, Cramér-von Mises, least squares, weighted least squares, maximum product of spacing, minimum spacing absolute distance, minimum spacing absolute-log distance, percentiles, and Kolmogorov. …”
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Characterization of Acoustic Emission Parameters during Fracture Process of Siltstone with Prefabricated Void by Xiaorong Liu, Lulin Zheng, Hengyi He, Qing Qiu, Ziqi Liu, Xuefeng Li, Lin Yan, Gang Huang

“…The research results show that there are multiple stress drops before the deformation and failure of the rock sample with prefabricated drill holes; there is a positive correlation between the diameter of the drill hole and the power law index of the stress drop distribution; the acoustic emission activity of the rock during the deformation and failure process can be indirectly reflected the evolution of microfractures; the energy probability density function under different borehole diameters conforms to the power law distribution; the critical exponent obtained by the maximum likelihood estimation has an optimal plateau value, which can accurately characterize the power exponent of the energy distribution; the launch waiting time and aftershock sequence have a good power-law distribution in logarithmic coordinates. …”
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Comparative Mitogenomics in the Genus <i>Chlorophorus</i> (Coleoptera: Cerambycidae) and Its Phylogenetic Implications by Zhengju Fu, Lu Chen, Lichao Tian, Zongqing Wang, Zhu Li

“…Further, phylogenetic analyses were performed based on different datasets (13 PCGs + 2 rRNAs, 13 PCGs + 2 rRNAs + 22 tRNAs, PCG123, PCG12) using maximum likelihood (ML) and Bayesian inference (BI) methods. …”
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Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis by Paul Terry, R Eric Heidel, Alexandria Q Wilson, Rajiv Dhand

“…We used random-effects, restricted maximum likelihood models to analyse data pooled from 51 studies, which included 43 analyses of asthma and 30 analyses of COPD. …”
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Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions by Abdullah Ali H. Ahmadini, Mohammed Elgarhy, A. W. Shawki, Hanan Baaqeel, Omar Bazighifan

“…Furthermore, the estimate of the model parameters was driven using the maximum likelihood estimation method. Results. The flexibility provided by the proposed statistical model is useful for describing the percentage of the individuals completely vaccinated against COVID-19, which provides a close fit with the COVID-19 data. …”
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Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques by C.E. Akumu, J. Henry, T. Gala, S. Dennis, C. Reddy, F. Tegegne, S. Haile, R.S. Archer

“…Inland wetland types i.e. forested/shrub, emergent and open water bodies were classified and mapped using maximum likelihood standard algorithm. The spatial distribution pattern of inland wetlands was examined using average nearest neighbor analysis. …”
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Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach by Fajar Yulianto, Gatot Nugroho, Galdita Aruba Chulafak, Suwarsono Suwarsono

“…Three digital classification approaches, namely, maximum likelihood (ML), random forest (RF), and the support vector machine (SVM), were applied to test the improvement in the accuracy of LULC postclassification using the MaSegFil approach, based on annual cloud-free Landsat 8 satellite imagery data from 2019. …”
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High throughput phenotyping in soybean breeding using RGB image vegetation indices based on drone by Andressa K. S. Alves, Maurício S. Araújo, Saulo F. S. Chaves, Luiz Antônio S. Dias, Lucas P. Corrêdo, Gabriel G. F. A. Pessoa, André R. G. Bezerra

“…We used a linear mixed effects model, with restricted maximum likelihood (REML)/best linear unbiased prediction (BLUP) methods, to estimate variance components and genetic correlations, and to predict genotypic values. …”
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Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach by Ayodeji Ogunleye, Adewale Lukman, Hassan Ogunwemimo, Victoria Tanimonure, Emad Ismail, Fuad Awwad, Oluseyi Ajayi

“…Aside from the usual OLS estimator, we employed robust estimators such as Maximum Likelihood-type estimator (M-estimator), Monotone M-estimator (MM-estimator), and Scale estimator (S-estimator) to account for outliers. …”
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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

“…Four probability density functions (Weibull 2P, Log-Normal, Log-Logistic, and Burr) were fitted by using maximum likelihood approach for different silvicultural treatments. …”
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Bounded multivariate contaminated normal mixture model with applications to skin cancer detection by Abbas Mahdavi

“…A feasible expectation-maximization algorithm is developed to compute the maximum likelihood estimates of the model parameters using a selection mechanism. …”
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Diversity of Rhizophydiales (Chytridiomycota) in Thailand: unveiling the hidden gems of the Kingdom by Vedprakash G. Hurdeal, Joyce E. Longcore, E. B. Gareth Jones, Kevin D. Hyde, Eleni Gentekaki

“…To confirm the novelty of the species, we employed robust phylogenetic analyses using maximum likelihood and bayesian methods. The results provided strong support for the presence of eight distinct lineages within the Rhizophydiales, representing our newly discovered species. …”
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Portfolio formation based on risk-adjusted performance and distribution-based returns using data envelopment analysis by Hosseinali Heydarzadeh, Fereydon Rahnamay Roodposhti, Alireza Rashidi Komijan, Seyyed Esmaeil Najafi

“…After estimating the maximum likelihood parameters of the model, the risk values for each stock were calculated based on the empirical return distribution, the Cauchy distribution, and the normal distribution. …”
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AN ECONOMIC EVALUATION OF THE PERFORMANCE EFFICIENCY OF CONSERVATION AGRICULTURE AND FOOD SECURITY PROJECTS USING LOGISTIC REGRESSION IN IRAQ FOR THE 2022-2023 SEASON by N. S. Noori, B. H. Hameed, M. Kh. Mohammed

“…Regression model coefficients were estimated using the maximum likelihood method, explaining the dependent variable and independent variables. …”
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Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military by Taeyun Kim, Hyunji Choi, Sun Min Lee

“…In the parametric approach, maximum likelihood estimation was applied to measure the Box-Cox transformation parameter and the values at the 2.5th and 97.5th percentiles were recalculated. …”
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Scrutinize the Taxonomical Identity of Green Edible Russula from Sulawesi (Indonesia) by Oktan Dwi Nurhayat, Ivan Permana Putra, Rini Riffiani, Sitti Aida Adha Taridala, Zulhan Arif

“…The phylogenetic tree (Maximum Likelihood) placed our specimens within the R. lilacina group (BS value 99%). …”
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Exploring the effects of ecological parameters on the spatial structure of genetic tree sequences by Ianni-Ravn, Mariadaria K., Petr, Martin, Racimo, Fernando

“…We also assess the accuracy of the maximum likelihood estimation of the dispersal distance in a Gaussian model of dispersal from tree-sequence data,  and highlight how it is affected by realistic factors such as finite habitat size and limited data. …”
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