Good to Great | |
5 CDs
Built to Last was a phenomenal success: 'It is a fair assumption that as the seminal importance of this audiobook begins to permeate the upper echelons of business and business schools�Collins and Porras will emerge as the gurus to watch over the next decade.' The Director.
Good to Great explores a whole new concept, backed by the rigorous research standards which gave Built to Last such an impact.
Trump: Think Like a Billionaire | |
Trump: The Way to the Top - The Best Business Advice I Ever Received | |
Donald Trump asks successful businesspeople to reveal the best business advice they have ever received, resulting in inspiring and practical business tips.
The China Dream | |
A provocative, in-depth look at China - potentially the world's largest market - and the hopes and disappointments of politicians and companies in their search for new riches.
This book provides an insider's perspective on what is really going on in the China market. A must-read for anyone interested or involved with China, Asia and emerging markets.
Finite Mixture Models | |
An up-to-date, comprehensive account of major issues in finite mixture modeling
This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts.
Major issues discussed in this book include identifiability problems, actual fitting of finite mixtures through use of the EM algorithm, properties of the maximum likelihood estimators so obtained, assessment of the number of components to be used in the mixture, and the applicability of asymptotic theory in providing a basis for the solutions to some of these problems.
The author also considers how the EM algorithm can be scaled to handle the fitting of mixture models to very large databases, as in data mining applications. This comprehensive, practical guide:
- Provides more than 800 references-40% published since 1995
- Includes an appendix listing available mixture software
- Links statistical literature with machine learning and pattern recognition literature
- Contains more than 100 helpful graphs, charts, and tables
Finite Mixture Models is an important resource for both applied and theoretical statisticians as well as for researchers in the many areas in which finite mixture models can be used to analyze data.
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