Data Analysis: The Ins and Outs of Solving Real Problems (Competitive Methods in Operations Research and Data Analysis)

Janssen, Jacques; Marcotorchino, F.; Proth, J. M.

ISBN 10: 0306426129 / ISBN 13: 9780306426124

Published by Springer, 1987

About this Item

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Seller Inventory # OTV.0306426129.G

Bibliographic Details

• Title: Data Analysis: The Ins and Outs of Solving Real Problems (Competitive Methods in Operations Research and Data Analysis)
• Publisher: Springer
• Publication Date: 1987
• Language: English
• ISBN 10: 0306426129
• ISBN 13: 9780306426124
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This book is the result of the fourth International Symposium on Data Analysis held on June 1985 at the Universite Libre de Bruxelles with the help'of the European Institute for Advanced Management. As the preceding ones, the organization of the Symposium started with a call for real life problems from which an International Com­ mittee selected six topics and asked for several solutions. These topics are : I) Multivariate and longitudinal data on growing children 2) Prehistoric assemblages and lithic artifacts from a small We- european area 3) A comparison of results of European elections 4) Classification of heterogeneous data related to microcomputers 5) Group technology in production management 6) Juvenile gelinquency They are covered by the S1X chapters of this book in the following systematic way : a) firstly, a presentation of the problem is given in the original context of the relevant discipline (Medicine, archaelogy, politics, marketing, production and education); b) Secondly, we present the solution found by people who presents the problem; c) thirdly, we find the other retained solutions among the most significative ones; v vi PREFACE d) finally, a short conclusion compares the different approaches. The diversity of the six selected problems clearly shows that Data Analysis can be used for solving a wide variety of problems. Moreover, the fact that each problem is approached by several dif­ ferent way - at least two - also shows that, in general, a "univer­ sal" statistical method does not exist.