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Generally-Altered, -Inflated, -Truncated and -Deflated Regression, With Application to Heaped and Seeped Data

Models such as the zero-inflated and zero-altered Poisson and zero-truncated binomial are well-established in modern regression analysis. We propose a super model that jointly and maximally unifies alteration, inflation, truncation and deflation for

Externí odkaz: http://arxiv.org/abs/2208.12972

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On the Hauck-Donner Effect in Wald Tests: Detection, Tipping Points, and Parameter Space Characterization

Autor: Yee, Thomas William

Publikováno v: JASA 2022

The Wald test remains ubiquitous in statistical practice despite shortcomings such as its inaccuracy in small samples and lack of invariance under reparameterization. This paper develops on another but lesser-known shortcoming called the Hauck--Donne

Externí odkaz: http://arxiv.org/abs/2001.08431

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The Analysis of binary data in quantitative plant ecology

Autor: Yee, Thomas William

The analysis of presence/absence data of plant species by regression analysis is the subject of this thesis. A nonparametric approach is emphasized, and methods which take into account correlations between species are also considered. In particular,

Externí odkaz: http://hdl.handle.net/2292/1973

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