Canonical Discriminant Mapping of Origins in Andalusian Black Cattle: Inbreeding and Coancestry Decomposition via Mendelian Sampling Variances and Nodal Ancestor Contributions by Luis Favian Cartuche Macas, María Esperanza Camacho Vallejo, Antonio González Ariza, José Manuel León Jurado, Juan Vicente Delgado Bermejo, Carmen Marín Navas, Francisco Javier Navas González

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Analysis of Plastic Zone and Pressure Variance Features of Surrounding Rock of High-Altitude Macker Tunnel: A Case Study in Jiangluling Macker Tunnel in Qinghai by Xiaojun Ma, Hongyan Guo, Juyi Hu, Shuang Cai, Liang Cheng, Danfeng Zhang

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Examining financial inclusion success in north India via financial inclusion drivers, financial literacy and financial initiatives: A variance based-SEM approach by Amit Pandey, Ravi Kiran, Rakesh Kumar Sharma

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Extraordinarily corrupt or statistically commonplace? Reproducibility crises may stem from a lack of understanding of outcome probabilities by Caetano Souto-Maior

“…Here I argue that some instances of failure to replicate experiments are in fact failures to properly describe the structure of variance. I formalize a hierarchy of distributions that represent the system-level and experiment-level effects, and correctly account for the between-and within-experiment variances, respectively. …”
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Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design by M.S.S.R. Tejaswini, Pankaj Pathak

“…The physiochemical, morphological, and molecular structural changes were observed in all-nanocomposite (LDPE and catalyst samples) before and after degradation. …”
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The Effects of Correlated Data and Correction Procedures for F-Test in Unbalanced Two Way Model by Ivan Kababchi

“…The model considered is one in which all measurements have same variance, and the covariance matrix enjoy a structure defined as follows: every pair of measurements comes from: i) The same experimental observation and the same experimental unit; ii) Different experimental observation, but in the same experimental unit; ii) Different experimental unit; has covariance  and   respectively.…”
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Effects of short‐term exposure to moderate amounts of alcohol on brain volume by Sakiko Tsugawa, Fumihiko Ueno, Mutsuki Sakuma, Hideaki Tani, Ryo Ochi, Ariel Graff‐Guerrero, Yoshihiro Noda, Hiroyuki Uchida, Masaru Mimura, Shunji Oshima, Sachio Matsushita, Shinichiro Nakajima

“…Repeated measures analysis of variance was used to evaluate longitudinal changes in brain volume at 96 regions. …”
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Fiducial Inference in Linear Mixed-Effects Models by Jie Yang, Xinmin Li, Hongwei Gao, Chenchen Zou

“…And our inference for the variance of random effects has competitive power with the likelihood ratio test.…”
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The study of the structure of anxiety in athletes by Y. A. Statsenko, H. .. Wardi, I. V. Glebova, M. A. Sarkisyan, A. G. Ponomareva, I. A. Charikova, D. N. Cvirko, L. A. Kalinkin, L. V. Kutniakhova, T. A. Dotsenko, M. E. Biandzetskaya

“…Objective: to study the structure of disorders caused by anxiety in athletes. …”
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Reliability Study of Electric Buses in the Urban Public Transport System by Andrzej Niewczas, Joanna Rymarz, Marcin Ślęzak, Dariusz Kasperek, Piotr Hołyszko

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The Role of Intellectual Humility in Sustainable Tourism Development by Nhung T. Hendy, Nathalie Montargot

“…In addition, a bifactor CFA was found to have acceptable fit and appropriate in controlling for common method variance. A series of covariance-based structural equations models (SEMs) was estimated to test the hypothesized model while controlling for common method variance in addition to individual age and gender. …”
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Convective-scale forecast errors over Taiwan: an ensemble analysis of error covariances and their influences by Kao-Shen Chung, Chih-Chien Tsai, Li-Hsin Chen, Shu-Chih Yang

“…Using a set of 72-member ensemble forecasts generated by the Weather Research and Forecasting (WRF) model, the structures of error variance and error correlation are examined. …”
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The factorial structure of sports interest in adolescents by Ivanović Miroljub, Ivanović Uglješa

“…Five main components were extracted by analyzing the main components (PCA) based on the Guttman-Kaiser criterion, with 6.91% of the total variance explained. The extracted five-factor structure of the latent dimensions was interpreted as: outdoor sports, combat sports and martial arts, fundamental and artistic sports, ball and racket sports, and precision sports. …”
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Factor structure and measurement invariance of the TIMSS 2015 mathematics attitude questionnaire: Exploratory structural equation modelling approach by Şeyma Uyar

“…As a result of the investigation of the factor structure of these items, the attitude questionnaire with its 5 factors and 35 items was accepted to be suitable for the Exploratory Structural Equation Model (ESEM). …”
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The Multi-Component Structure of Core Strength by Sarah Schulte, Jessica Bopp, Volker Zschorlich, Dirk Büsch

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Analysis of the Propagation Effects of Remittances on the Vulnerability of External Trade of the Republic of Moldova by Mircea DIAVOR

“…Within the research a variety of analytical tools are employed including Granger causality tests, unit root tests, coupled with a structural vector auto regression (SVAR), impulse response function (IRF) analyses and variance decomposition. …”
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Infrared Small Target Detection Based on Weighted Improved Double Local Contrast Measure by Han Wang, Yong Hu, Yang Wang, Long Cheng, Cailan Gong, Shuo Huang, Fuqiang Zheng

“…Next, considering the structural characteristics of the target edge, we propose the variance-based weighting coefficient to eliminate clutter further. …”
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Capturing resilience from phenotypic deviations: a case study using feed consumption and whole genome data in pigs by Enrico Mancin, Christian Maltecca, Jicaj Jiang, Yi Jian Huang, Francesco Tiezzi

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Obtención de la matriz de varianzas y covarianzas a través de los productos Kronecker en modelos balanceados de dos y tres vías con aplicaciones en R by Milton Januario Rueda Varon, Luz Marina Moya-Moya

“…To present a methodology based on the concept of Kronecker products that facilitates the constructionof the variance and covariance matrix for designs with balanced data structure for 2 and 3 ways, and an application in R to facilitateits calculation and application in different areas. …”
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APPLICATION OF YATES METHOD FOR MISSING DATA ESTIMATION IN YOUDEN SQUARE DESIGN AND ANALYSIS by Ratna Melati Hadiputri, Syifa Nayla Alifaa, Restu Arisanti, Sri Winarni

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