Using a Multivariate Virtual Experiment for Uncertainty Evaluation with Unknown Variance by Manuel Marschall, Finn Hughes, Gerd Wübbeler, Gertjan Kok, Marcel van Dijk, Clemens Elster

“…We extend and formalize a previously published approach for simple additive models to account for a large class of non-linear virtual experiments and measurement models for multidimensionality of the data and output quantities, and for the case of unknown variance of repeated measurements. With the algorithm developed here, a simple procedure for the evaluation of measurement uncertainty is provided that may be applied in various applications that admit a certain structure for their virtual experiment. …”
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Designing an Earnings Management Improvement Model for Iranian knowledge-based Firms by Khadijeh Ghasemi, Hosein Jabbari, Meysam Arabzadeh, Hosein Panahian

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Low variance estimations of many observables with tensor networks and informationally-complete measurements by Stefano Mangini, Daniel Cavalcanti

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Equivalence of variance components between standard and recursive genetic models using LDL′ transformations by Luis Varona, David López-Carbonell, Houssemeddine Srihi, Carlos Hervás-Rivero, Óscar González-Recio, Juan Altarriba

“…Abstract Background Recursive models are a category of structural equation models that propose a causal relationship between traits. …”
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Adaptive Distributed Student’s T Extended Kalman Filter Employing Allan Variance for UWB Localization by Yanli Gao, Maosheng Yang, Xin Zang, Lei Deng, Manman Li, Yuan Xu, Mingxu Sun

“…Then, the adaptive distributed filter employs a federation structure: A local t EKF is designed to estimate the target’s position by fusing the distance between the UWB base station and the target object. …”
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Special Cement-Based Grouting Material for Subway Structure Repair During Operation Performance Sensitivity Analysis by Wei Song, Xiaokai Niu, Zhitian Xie, He Wang, Jie Su, Chentao Xu

“…Multifactorial variance analysis was employed to quantitatively evaluate the sensitivity of each factor and their interactions to slurry flowability, setting time, anti-dispersibility, and compressive strength. …”
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Stochastic Variance Reduced Primal–Dual Hybrid Gradient Methods for Saddle-Point Problems by Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu

“…Our algorithms have a simpler structure and lower per-iteration complexity than SOTA ADMMs. …”
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Aboveground biomass and carbon stocks in subtropical forests by Hiago Adamosky Machado, Adriane Avelhaneda Mallmann, Kauana Engel, José Augusto Spiazzi Favarin, Jordan Luis Campos Modesto, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, Henrique Soares Koehler, Sylvio Péllico Netto, Alexandre Behling, Jonathan William Trautenmüller

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How to construct analysis of covariance in clinical trials: ANCOVA with one covariate in a completely randomized design structure by WooJin Jung, Kwan Lee, Hyung-Hwan Kim, Chiyeon Lim

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Flexible Parsimonious Mixture of Skew Factor Analysis‎ ‎Based‎ ‎on‎ ‎Normal‎ ‎Mean--Variance Birnbaum-Saunders by Farzane Hashemi, Jalal Askari, Saeed Darijani

“…By using the structures covariance matrix‎, ‎we introduce parsimonious MFA based on NMVBS distribution‎. ‎…”
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An Improvement of Least Squares Theory: Theory of Least p-Variances Approximation and p-Uncorrelated Functions by Mohammad Masjed-Jamei

“…We establish a theory whose structure is based on a fixed variable and an algebraic inequality and which improves the well-known least squares theory. …”
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Applying the mean-variance framework: portfolio optimization and comparative performance analysis in the emerging Colombian capital market by Jairo González-Bueno, Rima Tamošiūnienė, Camilo Gómez Morales, Gladys Rueda-Barrios

“…It delivers actionable messages for emerging market stakeholders and formulates guidance aimed at enhancing risk-adjusted returns and informing portfolio management in markets with similar structural and economic conditions.  Research methodology – a bi-objective mean-variance model has been used for analyzing the stock prices of 17 stocks on a weekly basis from 2009–2024. …”
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Analyzing the Impact of Process Noise for a Flexible Structure During the Minimum-Time Rest-to-Rest Slew Maneuver by Shambo Bhattacharjee

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Analysis of Damage Factors of Reinforced Concrete Frame Under Internal Explosion by Jiaxin Li, Jianping Yin, Xudong Li, Shi Rui

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Variance exchange process: overcoming the problem of singular information matrices in quadratic three−variable response designs by Okim Ikpan, Felix Nwobi

“…For such matrices, the variances of predicted responses at variance points cannot be evaluated, and the variance exchange process, not possible. …”
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The Impact of Company Characteristics on Return Volatility in Sorted Portfolios: A Hybrid Asymmetric Conditional Variance Approach by Seyed Kazem Ebrahimi, Mahnaz Khorasani, Mina Saba

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Genetic variance in the spinocerebellar ataxia type 2 (ATXN2) gene in children with severe early onset obesity. by Karla P Figueroa, Sadaf Farooqi, Kristopher Harrup, Johnathan Frank, Stephen O'Rahilly, Stefan M Pulst

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Water quality and physicochemical conditions drive chlorophyll-a concentrations in two connected subtropical off-stream reservoirs by Yi-Ming Kuo, Yi-Hsuan Chen, Yi-Ting Chiu, Tsair-Fuh Lin

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Balancing signature variance between local and global minima/maxima: Restricted maximum likelihood (REML) classification and the search for plagioclimax by N. Manspeizer, A. Karnieli

“…Entropy (a measure of disorder) and emptiness (a proxy for fragmentation) measures were designed into bin tables and examined relative to the variance in the spectral signatures. A restricted maximum likelihood (REML) classifier that relies on limiting variance was chosen to identify local maximum clusters (the unique plagioclimax classes), and the five classification results were compared. …”
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Comparing Perceptions of Students, Teachers, and Parents on Disciplinary Issues in Public Senior High Schools – A Case Study of Schools in Kumasi, Ghana by Paul Kwasi Kumah, Mary Assumpta Ayikue, Charles Obeng

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