Skew-Normal Model Theories and Their Applications

First edition
  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read
Not in Library

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Buy this book

Last edited by Kaustubh Chakraborty
June 7, 2024 | History

Skew-Normal Model Theories and Their Applications

First edition
  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications of parameters of interest. This book is of academic value, since it helps to establish a series of statistical inference theories and methods for skew-normal mixed effects models. It will also provide efficient methods and tools for practical data analysis in various fields including economics, finance, biology and medical science, which features its application value.

Publish Date
Publisher
CRC Press
Language
English
Pages
280

Buy this book

Edition Availability
Cover of: Skew-Normal Model Theories and Their Applications
Skew-Normal Model Theories and Their Applications
November 8, 2024, CRC Press
Hardcover in English - First edition

Add another edition?

Book Details


Table of Contents

--Preface.
--Introduction.
--Preliminary Knowledge.
--Location Parameter of Skew-Normal Population.
--Common Location Parameter of Skew-Normal Populations.
--One-Way Classification Model with Skew-Normal Random Effects.
--Unbalanced One-Way Classification Model with Skew-Normal Random Effects.
--Skew-Normal Unbalanced Heteroscedastic One-Way Classification Random Effects Model.
--Skew-Normal Unbalanced Panel Model with One-Way Error Component.
--Skew-Normal Two-Way Classification Random Effects Model with Interaction.
--Skew-Normal Mixed Effects Model.
--References.
--Index.

Edition Notes

Contains bibliographic references and index.

Published in
Boca Raton, Florida, USA
Copyright Date
©2024

The Physical Object

Format
Hardcover
Pagination
272 Pages, 19 B/W Illustrations
Number of pages
280
Weight
1 grams

ID Numbers

Open Library
OL51731694M
ISBN 13
9781032694696

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

History

Download catalog record: RDF / JSON
June 7, 2024 Edited by Kaustubh Chakraborty Added new book
June 7, 2024 Created by Kaustubh Chakraborty Added new book.