Estimating Common Mean in Heteroscedastic Variances Model by Andrew L. Rukhin

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Assessment of F₅ Mungbean Genotypes from Intergeneric Hybridization with Common Bean for Agronomic Performance, Heritability, Variance Components, and Genetic Uniformity by Binti Nur Aisah, Aprilia Tiara Ikhwani, Agus Budi Setiawan, Aziz Purwantoro, Dyah Weny Respatie, Erlina Ambarwati, Listy Anggraeni, Chee How Teo, Chandra Setyawan, Aniswatul Khamidah

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Evaluation of bias-variance trade-off for commonly used post-summarizing normalization procedures in large-scale gene expression studies. by Xing Qiu, Rui Hu, Zhixin Wu

“…In this paper, we conduct a thorough study to evaluate the effects of normalization procedures combined with several commonly used statistical tests and MTPs under different configurations of effect size and sample size. …”
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Variances in Residential Heating Consumption by Paula van den Brom, Anders Rhiger Hansen, Kirsten Gram-Hanssen, Arjen Meijer, Henk Visscher

“… It is commonly accepted that occupants have a significant influence on the variation in residential heating consumption. …”
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Inheritance of signs of «many-flowered» common wheat and evaluation of productivity of the spike of F2 hybrids by V. S. Arbuzova, O. B. Dobrovolskaya, P. Martinek, E. V. Chumanova, T. T. Efremova

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Common Genetic Factors May Play a Role in the Relationships Between Body Composition, Adipokines, and Low-Back-Pain-Related Disability by Nader Tarabeih, Alexander Kalinkovich, Shai Ashkenazi, Adel Shalata, Gregory Livshits

“…These findings indicate that genetic factors that are assumingly common for several adipokine variations and several body composition measurements, respectively, presumably have a pleotropic genetic influence on the LBP_DS variation, independently from one another. …”
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The Role of Intellectual Humility in Sustainable Tourism Development by Nhung T. Hendy, Nathalie Montargot

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Bias and Variance Analysis of Contemporary Symbolic Regression Methods by Lukas Kammerer, Gabriel Kronberger, Stephan Winkler

“…Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. …”
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Robustness of analysis of covariance (ancova) under the distributions assumptions and variance homogeneity by Can Ateş, Özlem Kaymaz, Mustafa Agah Tekindal, Beyza Doğanay Erdoğan

“…However, unusual distributions in practice are more common than normal distribution. In this study, it is aimed to examine ANCOVA method or type 1 error rates under different distribution conditions and homogeneity of variances.…”
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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

“…Virtual experiments are a digital representation of a real measurement and play a crucial role in modern measurement sciences and metrology. Beyond their common usage as a modeling and validation tool, a virtual experiment may also be employed to perform a parameter sensitivity analysis or to carry out a measurement uncertainty evaluation. …”
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Variance in brain volume with advancing age: implications for defining the limits of normality. by David Alexander Dickie, Dominic E Job, David Rodriguez Gonzalez, Susan D Shenkin, Trevor S Ahearn, Alison D Murray, Joanna M Wardlaw

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A Non-Parametric Test for a Two-Way Analysis of Variance by Stefano Bonnini, Michela Borghesi, Gianfranco Piscopo, Massimiliano Giacalone

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Fixed accuracy confidence intervals for variance under first-order stationary autoregressive processes by Rahul Bhattacharya, Uttam Bandyopadhyay, Atanu Biswas, Pritam Sarkar

“…A sequential procedure is developed to construct a fixed accuracy confidence interval (CI) of the common unknown variance of the random observations, where the observations arise from a first-order stationary autoregressive (AR(1)) process with a continuous and symmetric error distribution having mean zero and finite fourth-order moment. …”
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Prominent Precession Band Variance in ENSO Intensity Over the Last 300,000 Years by Zhengyao Lu, Zhengyu Liu, Guangshan Chen, Jian Guan

“…In contrast, the greenhouse gases and ice sheet forcings (~100,000‐year cycles) are opposed to each other as they influence ENSO variability through changes in AC amplitude via a common nonlinear frequency entrainment mechanism. …”
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Additive genetic and environmental variance components for milk traits in goat with test day model by Suzana BREŽNIK, Špela MALOVRH, Milena KOVAČ, Dušan BIRTIČ, Drago KOMPAN

“…The greatest part of phenotypic variance of FC, PC and LC remained in residual. FC and PC had a negative genetic correlation with DMY (-0.32 and -0.41). …”
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Experimental study on performance evaluation of suspension control system based on minimum variance benchmark by DING Mingqiang, DOU Fengshan, WANG Hao, LONG Zhiqiang

“…Stochastic performance evaluation indexes are typically used to measure the system’s ability to resist uncertain disturbance, with the minimum variance index being the most commonly used. In this study, the applicability of the minimum variance evaluation index for evaluating the performance of suspension systems was analyzed through simulations based on a single-point suspension system model. …”
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A two-trunked anatomical variance of the brachial plexus: A cadaveric case report by Catherine A. Cash, Camryn Buskey, Eistine Boateng, Adel Maklad, Hamoun Delaviz

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The relationship of ulnar variance with pathologies detected by magnetic resonance imaging in patients with chronic or subacute wrist pain by Süheyl Poçan, Levent Karakaş

“…Background This study aims to determine whether ulnar variance (UV) types are associated with chronic or subacute ulnar-side wrist pain using 3 Tesla (T) magnetic resonance imaging (MRI), and to investigate potential relationships between UV, clinical data, and MRI-detected findings. …”
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Epidemiology and regional variance of traumatic peripheral nerve injuries in Sweden: A 15-year observational study. by Martin Magnéli, Michael Axenhus

“…The hand and wrist were the most commonly affected sites. Regional variations in incidence rates were evident, with some regions consistently exhibiting higher rates compared to others. …”
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Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties by Laurence Roberts-Elliott, Gautham P. Das, Grzegorz Cielniak

“…One of the most commonly performed environmental explorations is soil sampling to identify soil properties of agricultural fields, which can inform the farmer about the variable rate treatment of fertilisers in precision agriculture. …”
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