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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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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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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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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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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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…We also developed the maximum likelihood estimate (MLE) of alpha in our previous study. 2. …”
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Pengaruh Project Based Learning Terhadap Kemampuan Berpikir Peserta Didik: Studi Meta Analisis by Rahmadini Darwas, Rina Sepriana, Asmar Yulastri, Dedy Irfan, Nizwardi Jalinus

“…The study employs a meta-analysis method using the random effect Restricted Maximum Likelihood model. A total of 25 articles from the Scopus and Google Scholar databases were analyzed. …”
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Whole-Genome Duplication and Purifying Selection Contributes to the Functional Redundancy of Auxin Response Factor (ARF) Genes in Foxtail Millet (Setaria italica L.) by You Chen, Bin Liu, Yujun Zhao, Wenzhe Yu, Weina Si

“…Phylogeny reconstruction of SiARFs by maximum likelihood and neighbor-joining trees revealed SiARFs could be divided into four clades. …”
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Height Measurement Method for Meter-Wave Multiple Input Multiple Output Radar Based on Transmitted Signals and Receive Filter Design by Cong Qin, Qin Zhang, Guimei Zheng, Xiaolong Fu, He Zheng

“…Finally, the proposed height measurement algorithm is compared with the Generalized Multiple Signal Classification (GMUSIC) and Maximum Likelihood (ML) height measurement algorithms. Simulation results show that the proposed algorithm can realize the height measurement of low-elevation targets. …”
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Identification of Spectrally Similar Materials From Multispectral Imagery Based on Condition Number of Matrix by Maozhi Wang, Shu-Hua Chen, Jun Feng, Wenxi Xu, Daming Wang

“…The results for a case study to identify water, ice, snow, shadow, and other materials from Landsat 8 OLI data indicate that SF-CNM can identify the materials specified by the given samples successfully and accurately and that SF-CNM significantly outperforms those of spectral angle mapper algorithm, Mahalanobis classifier, maximum likelihood, and artificial neural network, and produces the performance similar to, even slightly better than that of support vector machine.…”
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Genetic parameters for lifetime productivity in Holstein and Brown Swiss dairy cows in Honduras by Karen Alessa Copas-Medina, Manuel Valladares-Rodas, Juan José Baeza-Rodríguez, José Candelario Segura-Correa, Juan Magaña-Monforte

“…Data were analyzed using restricted maximum likelihood procedure, adjusted to a univariate and to a bivariate animal model. …”
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Phylogenetic relationships between Palaearctic species of the Anopheles maculipennis complex (Diptera: Culicidae) revealed by different approaches and markers. The problem of conse... by O. V. Vaulin, Yu. M. Novikov

“…We constructed phylogenetic schemes on the sequences of a COI gene fragment, the D2 variable region of 28S rDNA and ITS2 of rRNA genes using various algorithms (Neighborjoining, Minimum Evolution, Maximum parsimony and Maximum likelihood). Two consensus schemes of the Palaearctic branch of the maculipennis complex were constructed, validated and discussed. …”
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Psychometric assessment of scales used to evaluate sexual assault prevention programming in the United States Air Force. by Kathryn E L Grimes, Nichole M Scaglione, Marni L Kan, Leah Frerichs, Christopher M Shea, Angela M Stover

“…We used full information maximum likelihood estimation with robust standard errors in Mplus. …”
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The First Complete Chloroplast Genome Sequence of <i>Secale strictum</i> subsp. <i>africanum</i> Stapf (<i>Poaceae</i>), the Putative Ancestor of the Genus <i>Secale</i> by Lidia Skuza, Piotr Androsiuk, Romain Gastineau, Magdalena Achrem, Łukasz Paukszto, Jan Paweł Jastrzębski

“…Phylogeny reconstruction based on the maximum-likelihood method reveals notable genetic similarity between <i>S. strictum</i> and <i>S. africanum</i>, supporting their genetic and phylogenetic distinction. …”
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Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. by Cécile Triay, Alice Boizet, Christopher Fragoso, Anestis Gkanogiannis, Jean-François Rami, Mathias Lorieux

“…The imputation of genotypes and recombination breakpoints is based on maximum-likelihood estimation. We compare its performance with Tassel-FSFHap and LB-Impute using simulated data and two real datasets. …”
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