Statistical Methods for Biostatistics and Related Fields - Info and Reading Options
By Wolfgang Härdle and Philippe Vieu
"Statistical Methods for Biostatistics and Related Fields" is published by Springer in October 31, 2006, it has 370 pages and the language of the book is English.
“Statistical Methods for Biostatistics and Related Fields” Metadata:
- Title: ➤ Statistical Methods for Biostatistics and Related Fields
- Authors: Wolfgang HärdlePhilippe Vieu
- Language: English
- Number of Pages: 370
- Publisher: Springer
- Publish Date: October 31, 2006
“Statistical Methods for Biostatistics and Related Fields” Subjects and Themes:
- Subjects: ➤ Statistical methods - Ecology - Geophysics - Biometry - Image analysis - Chemometrics - Diagnostic and Therapeutic Techniques and Equipment Analytical - Epidemiologic Measurements - Public Health - Statistics as Topic - Investigative Techniques - Environment and Public Health - Delivery of Health Care - Epidemiologic Methods - Methods - Mathematical statistics - Statistics
Edition Specifications:
- Format: Hardcover
- Weight: 1.5 pounds
- Dimensions: 9.3 x 6.4 x 0.8 inches
Edition Identifiers:
- The Open Library ID: OL12773952M - OL18696370W
- Online Computer Library Center (OCLC) ID: 74650511
- Library of Congress Control Number (LCCN): 2006934207
- ISBN-13: 9783540326908
- ISBN-10: 3540326901
- All ISBNs: 3540326901 - 9783540326908
AI-generated Review of “Statistical Methods for Biostatistics and Related Fields”:
Snippets and Summary:
In discrimination, as in many multivariate techniques, computation of a distance between two populations is often useful.
"Statistical Methods for Biostatistics and Related Fields" Description:
The Open Library:
The aim of this book is to cover a wide scope of recent statistical methods used by scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics. Each method is accompanied with interactive and automatic Xplore routines, available on-line, allowing people to reproduce the proposed examples or to apply the methods to their own real datasets.
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