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Analysis of Categorical Data from Historical Perspectives - Essays in Honor of Shizuhiko Nishisato (1st ed. 2024) Loot Price: R5,028
Discovery Miles 50 280
Analysis of Categorical Data from Historical Perspectives - Essays in Honor of Shizuhiko Nishisato (1st ed. 2024): Eric J Beh,...

Analysis of Categorical Data from Historical Perspectives - Essays in Honor of Shizuhiko Nishisato (1st ed. 2024)

Eric J Beh, Rosaria Lombardo, Jose G. Clavel

Series: Behaviormetrics: Quantitative Approaches to Human Behavior, 17

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Loot Price R5,028 Discovery Miles 50 280 | Repayment Terms: R471 pm x 12*

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This collection of essays is in honor of Shizuhiko Nishisato on his 88th birthday and consists of invited contributions only. The book contains essays on the analysis of categorical data, which includes quantification theory, cluster analysis, and other areas of multidimensional data analysis, covering more than half a century of research by the 41 interdisciplinary and international researchers who are contributors. Thus, it offers the wisdom and experience of work past and present and attracts a new generation of researchers to this field. Central to this wisdom and experience is that of Prof. Nishisato, who has spent much of the past 60 years mentoring and providing leadership in the research of quantification theory, especially that of “dual scaling”. The book includes contributions by leading researchers who have worked alongside Prof. Nishisato, published with him, been mentored by him, or whose work has been influenced by the research he has undertaken over his illustrious career. This book inspires researchers young and old as it highlights the significant contributions, past and present, that Prof. Nishisato has made in his field.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Behaviormetrics: Quantitative Approaches to Human Behavior, 17
Release date: 2024
Firstpublished: 2024
Editors: Eric J Beh • Rosaria Lombardo • Jose G. Clavel
Dimensions: 235 x 155mm (L x W)
Pages: 300
Edition: 1st ed. 2024
ISBN-13: 978-981-9953-28-8
Categories: Books
LSN: 981-9953-28-6
Barcode: 9789819953288

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