When might one heavy-tailed distribution be preferred over another?

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Mar 30, 2024 ... this tutorial explores the modeling strategies using Student's t-distributions through the lens of the brms package for R (2)—a powerful ally ... Nov 5, 2009 ... This paper proposes a new class of asymmetric Student-t (AST) distributions, and investigates its properties, gives procedures for estimation, ... May 11, 2012 ... The t-distribution is very closely related to the standard normal distribution and, like the normal, is a symmetric bell-shaped distribution. The number of degrees of freedom used should be equal to the sample size minus the number of estimated parameters. In t tests the estimated parameter is the ... Feb 11, 2010 ... I guess I can't leave comments just yet so this will have to be in the form of an answer: Assuming that the distributions have the same ... This article describes the formula syntax and usage of the T.INV function in Microsoft Excel. Returns the left-tailed inverse of the Student's t-distribution. Sep 3, 2018 ... The skew normal family is great for modeling skewed gaussian data, and the student t distribution is great for outliers. Jun 29, 2023 ... Hello, I have a hierarchical regression models that seems to follow a student T distribution but I can't seem to get a high enough “spike” ... Implementation of Student's t-distribution. See Also: "Student's t-distribution (Wikipedia)", "Student's t-distribution (MathWorld)", Serialized Form. Field ... Critical Values for Student's t Distribution. Area c. –t. 0 t. One-tail area. Right-tail area. 0 t. Left-tail area. –t. 0. Two-tail area. Area. –t. 0 t. For ...
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