Introduction to Variance Estimation (Springer Series in Statistics) - Info and Reading Options
By Kirk Wolter
"Introduction to Variance Estimation (Springer Series in Statistics)" is published by Springer in Aug 14, 2007 and it has 448 pages.
“Introduction to Variance Estimation (Springer Series in Statistics)” Metadata:
- Title: ➤ Introduction to Variance Estimation (Springer Series in Statistics)
- Author: Kirk Wolter
- Number of Pages: 448
- Publisher: Springer
- Publish Date: Aug 14, 2007
“Introduction to Variance Estimation (Springer Series in Statistics)” Subjects and Themes:
- Subjects: ➤ Demography - Environmental toxicology - Marketing - Statistics - Educational tests and measurements - Mathematical statistics - Statistical Theory and Methods - Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law - Testing and Evaluation Assessment
Edition Identifiers:
- The Open Library ID: OL26771268M - OL19133277W
- ISBN-13: 9780387350998
- ISBN-10: 0387350993
- All ISBNs: 0387350993 - 9780387350998
AI-generated Review of “Introduction to Variance Estimation (Springer Series in Statistics)”:
Read “Introduction to Variance Estimation (Springer Series in Statistics)”:
Read “Introduction to Variance Estimation (Springer Series in Statistics)” by choosing from the options below.
Search for “Introduction to Variance Estimation (Springer Series in Statistics)” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Introduction to Variance Estimation (Springer Series in Statistics)” in Libraries Near You:
Read or borrow “Introduction to Variance Estimation (Springer Series in Statistics)” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Introduction to Variance Estimation (Springer Series in Statistics)” at a library near you.
Buy “Introduction to Variance Estimation (Springer Series in Statistics)” online:
Shop for “Introduction to Variance Estimation (Springer Series in Statistics)” on popular online marketplaces.
- Ebay: New and used books.