Optimal Crossover Designs for Generalized Linear Models

We identify locally D -optimal crossover designs for generalized linear models. We use generalized estimating equations to estimate the model parameters along with their variances. To capture the dependency among the observations coming from the same subject, we propose six different correlation str...

Celý popis

Podrobná bibliografia

Vydané v:	Journal of statistical theory and practice Ročník 14; číslo 2
Hlavní autori:	Jankar, Jeevan, Mandal, Abhyuday, Yang, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.06.2020
Predmet:	Algorithms Analysis and Advanced Methodologies in the Design of Experiments Mathematics and Statistics Original Article Probability Theory and Stochastic Processes Statistical Theory and Methods Statistics Approximate designs AR correlation structure Two-stage design optimality Generalized estimating equations Compound symmetric correlation
ISSN:	1559-8608, 1559-8616
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!