By Christos Skiadas
This unified quantity is a suite of invited chapters providing contemporary advancements within the box of information research, with purposes to reliability and inference, information mining, bioinformatics, lifetime information, and neural networks. The e-book is an invaluable reference for graduate scholars, researchers, and practitioners in data, arithmetic, engineering, economics, social technology, bioengineering, and bioscience.
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Advances in Data Analysis: Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks (Statistics for Industry and Technology) by Christos Skiadas