Advanced Linear Modeling Statistical Learning And Dependent Data 3Ed (Pb 2021)
Advanced Linear Modeling Statistical Learning And Dependent Data 3Ed (Pb 2021) is backordered and will ship as soon as it is back in stock.
Couldn't load pickup availability
Genuine Products Guarantee
Genuine Products Guarantee
We guarantee 100% genuine products, and if proven otherwise, we will compensate you with 10 times the product's cost.
Delivery and Shipping
Delivery and Shipping
Products are generally ready for dispatch within 1 day and typically reach you in 3 to 5 days.
Book Details
-
Author: Ronald Christensen
-
Brand: Springer
-
Edition: 3rd ed. 2019
-
Binding: Paperback
-
Number of Pages: 608
-
Release Date: 03-01-2021
-
ISBN: 9783030291662
-
Languages: English
-
Package Dimensions:
-
Length: 9.2 inches
-
Width: 6.1 inches
-
Height: 1.3 inches
-
About The Book
"Advanced Linear Modeling: Statistical Learning and Dependent Data, 3rd Edition" by Ronald Christensen is an essential text for students, researchers, and professionals working with advanced statistical modeling techniques. This third edition, published in 2021, builds on previous editions with updated content, offering an in-depth exploration of linear modeling methods and statistical learning, with a particular focus on dependent data.
With 608 pages, this book offers a clear, structured approach to understanding complex statistical techniques. It is designed to equip readers with the tools needed for analyzing data with dependencies, making it highly valuable for anyone involved in statistical analysis, data science, or related fields.
The book includes numerous examples, case studies, and exercises that illustrate the application of advanced linear models in real-world data analysis. Whether you are studying statistics or applying these methods in research, this book serves as an invaluable resource for mastering advanced statistical techniques and data modeling approaches.