Recent Advances In Stochastic Modeling And Data Analysis is popular PDF and ePub book, written by Christos H Skiadas in 2007-11-16, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Recent Advances In Stochastic Modeling And Data Analysis can be Read Online from any device for your convenience.
Recent Advances In Stochastic Modeling And Data Analysis Book PDF Summary
This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics.
Detail Book of Recent Advances In Stochastic Modeling And Data Analysis PDF
- Author : Christos H Skiadas
- Release : 16 November 2007
- Publisher : World Scientific
- ISBN : 9789814474474
- Genre : Mathematics
- Total Page : 668 pages
- Language : English
- PDF File Size : 16,5 Mb
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