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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Study on adaptive modulation in D2D communications over Nakagami-m fading channel by Xiaoping ZENG, Haiwei MAO, Fan YANG, Xin JIAN, Shiqi LI, Xin JIANG, Wei FANG

“…A novel adaptive modulation based on nondata-aided error vector magnitude (NDA-EVM) was proposed to solve the problem of lower spectral efficiency in device to device (D2D) communication over Nakagami-m fading channel.The NDA-EVM was used to evaluate the channel quality.The relationship between NDA-EVM and symbol error ratio (SER) was derived according to the maximum likelihood method.Thereafter,the adaptive modulation mechanism of MQAM with the SER constraint was designed.Considering the joint effect of finite-length queuing and fading channel,the system packet loss rate and spectral efficiency was analyzed.Theoretical analysis and simulation experiments show that NDA-EVM based adaptive modulation accurately gives the modulation threshold and evaluates the relationship between QoS and packet loss rate,the proposed algorithm improves system spectral efficiency while maintaining low algorithm complexity,spectral efficiency improves by 0.752 bit·(s·Hz)^-1,compared with traditional algorithm.…”
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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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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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The complete mitochondrial genome of the common dace Leuciscus leuciscus (Teleostei: Leuciscidae) by Vincent Haÿ, Richard Pividori, Agnès Dettai, Bo Delling, Gaël P. J. Denys

“…The complete mitogenome length is 16,603 bp and comprises 13 protein-coding-genes (PCGs), 22 tRNAs, 2 rRNAs, and one non-coding control region. A maximum likelihood phylogenetic reconstruction based on 13 PCGs of Leuciscids species confirm the monophyly of the Leuciscus genus. …”
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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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Distributional properties of the entropy transformed Weibull distribution and applications to various scientific fields by Tabassum Naz Sindhu, Anum Shafiq, Showkat Ahmad Lone, Qasem M. Al-Mdallal, Tahani A. Abushal

“…To examine the ultimate performance of maximum likelihood estimators during the process of estimating model parameters, a comprehensive simulation analysis has been conducted. …”
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RESEARCH ON DISTRIBUTION OF DYNAMIC LOAD FACTOR OF TRANSMISSION BOX BASED ON LOAD SPECTRUM by ZHENG SongLin, MA Jiong, ZHAO LiHui, YU WeiYi, YAO ShouWen

“…Secondly, the dynamic load factors in a stationary time history were obtained by dealing with these load spectrum. Thirdly, the maximum likelihood method and the goodness of fit AD value were used to identify and validate these dynamic load factors. …”
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