Can I read Mixed-Effects Models and Small Area Estimation on EtoBox?

Mixed-Effects Models and Small Area Estimation by Shonosuke Sugasawa, Tatsuya Kubokawa is a nonfiction available to read on EtoBox.

What is Mixed-Effects Models and Small Area Estimation about?

This book provides a self-contained introduction of mixed-effects models and small area estimation techniques. In particular, it focuses on both introducing classical theory and reviewing the latest methods. First, basic issues of mixed-effects models, such as parameter estimation, random effects prediction, variable selection, and asymptotic theory, are introduced. Standard mixed-effects models used in small area estimation, known as the Fay-Herriot model and the nested error regression model, are then introduced. Both frequentist and Bayesian approaches are given to compute predictors of small area parameters of interest. For measuring uncertainty of the predictors, several methods to calculate mean squared errors and confidence intervals are discussed. Various advanced approaches using mixed-effects models are introduced, from frequentist to Bayesian approaches. This book is helpful for researchers and graduate students in fields requiring data analysis skills as well as in mathematical statistics.

Who reads Mixed-Effects Models and Small Area Estimation?

Author

Shonosuke Sugasawa, Tatsuya Kubokawa

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2023

Language

EN

ISBN

9789811994869

Category

nonfiction

Subjects

Mathematics, Stem