-
Anglický jazyk
Messy Data in Heteroscedastic Models Case study: Mixed-Nested Design
Autor: Intesar El-Saeiti
Missing data are popular in real experiments. Messy data may give rise to heterogeneity of variance, where missing of data are dramatically different than any analyze of these data is based. Missing data may all cell is empty or loss some observation in... Viac o knihe
Na objednávku, dodanie 2-4 týždne
53.68 €
bežná cena: 56.50 €
O knihe
Missing data are popular in real experiments. Messy data may give rise to heterogeneity of variance, where missing of data are dramatically different than any analyze of these data is based. Missing data may all cell is empty or loss some observation in the cell which mean unbalanced data. In this book attempts to investigate the theoretical side of nested design analysis in the case of unbalanced model in the situation where approximate methods such as unweighted means are inappropriate. Instead of estimate the missing observations; In this book author adjusted the estimating methods to deal with messy data problem.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2015
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783659685965
