Advances in Data Analysis
| Autor: | Christos H. Skiadas |
|---|---|
| EAN: | 9780817647995 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 25.11.2009 |
| Untertitel: | Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks |
| Kategorie: | |
| Schlagworte: | Fitting Generalized linear model Markov chain Measure Non-parametric statistics Parametric statistics Resampling STATISTICA Sage Survival analysis best fit bioinformatics data analysis databases information theory |
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This unified volume is a collection of invited chapters presenting recent developments in the field of data analysis, with applications to reliability and inference, data mining, bioinformatics, lifetime data, and neural networks. The book is a useful reference for graduate students, researchers, and practitioners in statistics, mathematics, engineering, economics, social science, bioengineering, and bioscience.
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