The aim of this work is to highlight some interesting connections between contingency tables analysis and design of experiments. In particular, we consider two-way tables in correspondence to two-factor designs.We provide a condition that characterizes the estimability of the independence model for all saturated fractions.

From Markov moves in contingency tables to linear model estimability

RAPALLO, Fabio;
2012-01-01

Abstract

The aim of this work is to highlight some interesting connections between contingency tables analysis and design of experiments. In particular, we consider two-way tables in correspondence to two-factor designs.We provide a condition that characterizes the estimability of the independence model for all saturated fractions.
2012
9788861298828
File in questo prodotto:
File Dimensione Formato  
Roma2012confrontespizio.pdf

file disponibile agli utenti autorizzati

Descrizione: estratto
Tipologia: Documento in Post-print
Licenza: DRM non definito
Dimensione 1.3 MB
Formato Adobe PDF
1.3 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/13540
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact