Analysis of Categorical Data from Historical Perspectives (eBook, PDF)

Essays in Honour of Shizuhiko Nishisato
Redaktion: Beh, Eric J.; Clavel, Jose G.; Lombardo, Rosaria

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 505
• Erscheinungstermin: 25. Januar 2024
• Englisch
• ISBN-13: 9789819953295
• Artikelnr.: 69855044

Autorenporträt

Eric J. Beh is Professor at University of Wollongong and Stellenbosch University. Rosaria Lombardo is Associate Professor at University of Campania "Luigi Vanvitelli". Jose G. Clavel is Professor at Universidad de Murcia.

Inhaltsangabe

Gratitude: A Life Relived.- Nishisato's Psychometric World.- My Recollections of People in the World of Data Science.- A Straightforward Approach to Chi-Squared Analysis of Associations in Contingency Tables.- Contrasts for Neyman's Modified Chi-Square Statistic in One-Way Contingency Tables.