Overview
- This is the first attempt in Statistics to engage the most recognized international authors Including the most prominent authors from many developing countries To write relatively brief papers on topics from their respective fields of expertise
- Includes supplementary material: sn.pub/extras
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About this book
The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
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Table of contents (636 entries)
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Front Matter
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A
Editors and Affiliations
Bibliographic Information
Book Title: International Encyclopedia of Statistical Science
Editors: Miodrag Lovric
DOI: https://doi.org/10.1007/978-3-642-04898-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Reference Module Computer Science and Engineering
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-04897-5Published: 01 December 2010
eBook ISBN: 978-3-642-04898-2Published: 16 February 2011
Edition Number: 1
Number of Pages: CLXXI, 1671
Topics: Statistics, general, Statistical Theory and Methods, Statistics for Business, Management, Economics, Finance, Insurance, Probability Theory and Stochastic Processes, Econometrics