Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes by Wan-Yu Lin, Wan-Yu Lin

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Robust Diagnostics and Estimation in Heteroscedastic Regression Model in the Presence of Outliers by Rana, Md. Sohel

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Statistics to Detect Low-Intensity Anomalies in PV Systems by Silvano Vergura, Mario Carpentieri

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A note on testing for homoscedasticity in high-dimensional time series by Yosei Yoshida, Yan Liu

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Statistical Assumptions and Reproducibility in Psychology: Data Mining Based on Open Science by Wenqing Zhang, Shu Yan, Bo Tian, Dingzhou Fei

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Post-Hoc Tests in One-Way ANOVA: The Case for Normal Distribution by Joel Juarros-Basterretxea, Gema Aonso-Diego, Álvaro Postigo, Pelayo Montes-Álvarez, Álvaro Menéndez-Aller, Eduardo García-Cueto

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Multitask Learning Based on Improved Uncertainty Weighted Loss for Multi-Parameter Meteorological Data Prediction by Junkai Wang, Lianlei Lin, Zaiming Teng, Yu Zhang

Subjects: “…homoscedasticity uncertainty…”
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An approach to select linear regression model in bioanalytical method validation by Sandeep S. Sonawane, Santosh S. Chhajed, Sana S. Attar, Sanjay J. Kshirsagar

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ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models by Thanh V. Pham, Jeffrey D. Kromrey, Yi-Hsin Chen, Eun Sook Kim, Diep T. Nguyen, Yan Wang

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Fundamental Frequency Extraction Method using Central Clipping and its Importance for the Classification of Emotional State by Pavol Partila, Miroslav Voznak, Martin Mikulec, Jaroslav Zdralek

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Bayesian linear regression model for method comparison studies by S.M.M. Lakmali, L.S. Nawarathna, P. Wijekoon

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Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test by Marie Delacre, Daniël Lakens, Christophe Leys

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Correction: Why Psychologists Should by Default Use Welch’s 't'-test Instead of Student’s 't'-test by Marie Delacre, Daniël Lakens, Christophe Leys

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Construction D-optimal designs of experiments for linear multiple regression with heteroscedastic observations by Valery P. Kirlitsa

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MTCSNet: Mean Teachers Cross-Supervision Network for Semi-Supervised Cloud Detection by Zongrui Li, Jun Pan, Zhuoer Zhang, Mi Wang, Likun Liu

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D-optimal designs of experiments for trigonometric regression on interval with heteroscedastic observations by Valery P. Kirlitsa

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Multi-Task Deep Learning Seismic Impedance Inversion Optimization Based on Homoscedastic Uncertainty by Xiu Zheng, Bangyu Wu, Xiaosan Zhu, Xu Zhu

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Probabilistic Forecasting of Wind and Solar Farm Output by John Boland, Sleiman Farah

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Exact D-optimal designs of experiments for linear multiple regression with heteroscedastic observations by Valery P. Kirlitsa

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Deep Neural Network Ensembles Using Class-vs-Class Weighting by Rene Fabricius, Ondrej Such, Peter Tarabek

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