Estimation in additive models and ANOVA-like applications.

Content Provider	Europe PMC
Author	Antunes, Patrícia Ferreira, Sandra S. Ferreira, Dário Nunes, Célia Tiago Mexia, João
Copyright Year	2020
Abstract	ABSTRACT A well-known property of cumulant generating function is used to estimate the first four order cumulants, using least-squares estimators. In the case of additive models, empirical best linear unbiased predictors are also obtained. Pairs of independent and identically distributed models associated with the treatments of a base design are used to obtain unbiased estimators for the fourth-order cumulants. An application to real data is presented, showing the good behaviour of the least-squares estimators and the great flexibility of our approach.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9041717&blobtype=pdf
Page Count	10
ISSN	02664763
Volume Number	47
DOI	10.1080/02664763.2020.1723501
PubMed Central reference number	PMC9041717
Issue Number	13-15
PubMed reference number	35707420
Journal	Journal of Applied Statistics [J Appl Stat]
e-ISSN	13600532
Language	English
Publisher	Taylor & Francis
Publisher Date	2020-02-04
Access Restriction	Open
Rights License	© 2020 Informa UK Limited, trading as Taylor & Francis Group
Subject Keyword	ANOVA cumulants linear models moments 62J10 62K99
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty