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