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Correspondence Analysis in Practice (Hardcover, 3rd edition) Loot Price: R3,013
Discovery Miles 30 130
Correspondence Analysis in Practice (Hardcover, 3rd edition): Michael Greenacre

Correspondence Analysis in Practice (Hardcover, 3rd edition)

Michael Greenacre

Series: Chapman & Hall/CRC Interdisciplinary Statistics

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Loot Price R3,013 Discovery Miles 30 130 | Repayment Terms: R282 pm x 12*

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Drawing on the author's 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms - ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more. Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

General

Imprint: Productivity Press
Country of origin: United States
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Release date: December 2016
First published: 2017
Authors: Michael Greenacre
Dimensions: 229 x 178 x 26mm (L x W x T)
Format: Hardcover
Pages: 310
Edition: 3rd edition
ISBN-13: 978-1-4987-3177-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Psychology > Psychological methodology > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN: 1-4987-3177-5
Barcode: 9781498731775

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