Consilience of methods for phylogenetic analysis of variance. [PDF]
Evolution, 2022 Simulation‐based and permutation‐based inferential methods are commonplace in phylogenetic comparative methods, especially as evolutionary data have become more complex and parametric methods more limited for their analysis. Both approaches simulate many
Adams DC, Collyer ML.
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Wavelet analysis of variance box plot. [PDF]
J Appl Stat, 2022 Functional box plots satisfy two needs; visualization of functional data, and the calculation of important box plot statistics. Data visualization illuminates key characteristics of functional sets missed by statistical tests and summary statistics.
Williams J +3 more
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An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods [PDF]
Neural Information Processing Systems, 2022 In this paper, we revisit and improve the convergence of policy gradient (PG), natural PG (NPG) methods, and their variance-reduced variants, under general smooth policy parametrizations.
Yanli Liu, K. Zhang, T. Başar, W. Yin
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Association Between Age and Sleep Quality: Findings From a Community Health Survey [PDF]
Sleep Medicine Research, 2021 Background and Objective This study aimed to investigate the changes in sleep quality with increasing age and the effect of age on the components of the Pittsburgh Sleep Quality Index (PSQI).
Minjung Kim +10 more
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How to use analysis of variance correctly——an overview of analysis of variance
Sichuan jingshen weisheng, 2022 The purpose of this paper was to outline the analysis of variance. Analysis of variance was a very important branch of statistics with rich contents and wide applicability.
Hu Chunyan, Hu Liangping
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Misuse of analysis of variance in African biomedical journals: a call for more vigilance
Bulletin of the National Research Centre, 2022 Background Misuse of analysis of variance alongside other statistical methods has been an important topic of discussion in many scientific gatherings.
Bilyaminu Abubakar +5 more
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Application of student's t-test, analysis of variance, and covariance. [PDF]
Ann Card Anaesth, 2019 Student's t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups.
Mishra P +4 more
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Variability of plant height and head diameter in new hybrid combinations of sunflower [PDF]
Ratarstvo i Povrtarstvo, 2011 Plant height and head diameter of new hybrid combinations of sunflower were investigated. Tests were done under field conditions at experimental field of Institute of Field and Vegetable Crops in Rimski Šančevi.
Marinković Radovan +3 more
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Data transformation in biological assays
Pesquisa Florestal Brasileira, 2021 The analysis of variance is the statistical test most used for comparison of three or more means simultaneously. Its application requires, however, the compliance to some assumptions, with main emphasis on normality of the data and homoscedasticity of ...
Sylvio Péllico Netto, Alexandre Behling
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Simulation-Based Power Analysis for Factorial Analysis of Variance Designs
Advances in Methods and Practices in Psychological Science, 2021 Researchers often rely on analysis of variance (ANOVA) when they report results of experiments. To ensure that a study is adequately powered to yield informative results with an ANOVA, researchers can perform an a priori power analysis.
D. Lakens, Aaron R. Caldwell
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