Cover image for Survival trees - a new method in innovation theory : A successful introduction of a method commonly used in survival analysis into the field of innovation diffusion theory.
Survival trees - a new method in innovation theory : A successful introduction of a method commonly used in survival analysis into the field of innovation diffusion theory.
Title:
Survival trees - a new method in innovation theory : A successful introduction of a method commonly used in survival analysis into the field of innovation diffusion theory.
Author:
Wangenheim, Burkhard von.
ISBN:
9783954895045
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (102 pages)
Contents:
Survival trees - a new method in innovation theory -- Table of contents -- 1 Introduction -- 1.1 Context of Thesis -- 1.2 Contribution of Thesis -- 1.3 Structure & Internal Pattern of Thesis -- 2 Modelling Censored Event Data in the Context of Innovation Adoption- and Diffusion Theory -- 2.1 Analysing and Forecasting Innovation Diffusion by Dynamic Micro Models -- 2.2 General Concepts and Terminologies -- 2.3 Statistical Framework -- 2.4 Classical Methods for the Analysis of Event History Data -- 3 Presentation and Analysis of the Survival Tree Method -- 3.1 Review of CARTTM -- 3.2 Principle Framework & Mechanics of Survival Trees -- 3.3 Splitting, Pruning, Tree-Selection & Alternative Proposals for Survival Trees -- 3.4 Final Assessment -- 4 The use of Survival Trees to Forecast Innovation Diffusion -- 4.1 Applicability of Available Software -- 4.2 Data Description & Handling -- 4.3 Implementation -- 4.4 Results -- 4.5 Discussion -- 5 Summary -- 6 Appendix -- 6.1 Classification and Regression Tree for E-purchase Adoption -- 6.2 Cross Table for Sector and Country Coverage -- 6.3 Variable Description and Handling -- 6.4 R-Syntax for Survival Tree -- 6.5 Data Output for E-purchase Survival Tree -- 6.6 Saturated Survival Tree for E-purchase Adoption -- 6.7 Original Survival Tree for E-purchase -- 7 Indices -- 7.1 Index of Abbreviations -- 7.2 Index of Symbols -- 7.3 Index of Synonyms -- 7.4 Index of Tables -- 7.5 Index of Figures -- 8 Bibliography.
Abstract:
This book deals with survival trees and their application to the analysis and prediction of innovation diffusion processes. Three major contributions of the book are noteworthy: Firstly, the author presents a very comprehensive, accurate and accessible overview of the current research activities on survival trees. This is particularly important because, due to the novelty of the method, no universally accepted best approach exists yet; many technical details of the method are still subject to ongoing research and debate. By providing an overview of the current state of research, the author identifies the different approaches that have been proposed for splitting nodes, pruning, and final tree selection, providing guidance for the choice of an appropriate approach to the applied part of the text. Secondly, the overview of statistical packages that are available for survival tree analyses and the discussion of their respective merits and limitations has a high practical value and is unique within its category. Thirdly, the applied part of the text successfully demonstrates the usefulness of the survival tree method to identify clusters with significant differences in expected adoption times, thus providing a rigorous and easyly interpretable analysis of early and late adopter groups. In the discussion section, the authorfurther points out how the survival tree method deals with censored observations.   Biographische Informationen Burkhard Frhr. v. Wangenheim was born in 1978 in Cologne. After periods of study in the USA and Chile, he completed his degree in Business Administration with honours. Presently, the author resides in London, where he works for an international capital fund, investing and assisting investments in medium-sized German businesses.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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