By Ramón Alvarez-Esteban, Olga Valencia, Mónica Bécue-Bertaut (auth.), Christos H. Skiadas (eds.)
An outgrowth of the 12th foreign convention on utilized Stochastic types and knowledge research, this booklet is a suite of invited chapters proposing fresh advancements within the box of knowledge research, with purposes to reliability and inference, information mining, bioinformatics, lifetime facts, and neural networks. emphasised in the course of the quantity are new equipment with the possibility of fixing real-world difficulties in a number of areas.
The ebook is split into 8 significant sections:
* information Mining and textual content Mining
* info concept and Statistical Applications
* Asymptotic Behaviour of Stochastic procedures and Random Fields
* Bioinformatics and Markov Chains
* existence desk information, Survival research, and hazard in family Insurance
* Neural Networks and Self-Organizing Maps
* Parametric and Nonparametric Statistics
* Statistical concept and Methods
Advances in info Analysis is an invaluable reference for graduate scholars, researchers, and practitioners in records, arithmetic, engineering, economics, social technological know-how, 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 PDF
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