Pijush Samui, Dieu Tien Bui, Subrata Chakraborty, Ravinesh Deo
Handbook of Probabilistic Models; (PDF) rigorously explores the appliance of superior probabilistic fashions in standard engineering fields. In this entire handbook; researchers; practitioners; and scientists will discover detailed explanations of technical ideas; functions of the proposed strategies; and the actual scientific approaches wanted to unravel the issue. This ebook offers an interdisciplinary method that makes superior probabilistic fashions for engineering fields; starting from standard fields of civil engineering and mechanical engineering to electronics; earth sciences; local weather; electrical; agriculture; water useful resource; laptop sciences; and mathematical sciences.
Particular subjects lined include minimax chance machine regression; stochastic finite component technique; logistic regression; Monte Carlo simulations; relevance vector machine; random matrix; Kalman filter; stochastic optimization; Gaussian course of regression; most chance; Bayesian replace; kriging; Bayesian inference; copula-statistical fashions; and extra.
- Employs probabilistic modeling to rising areas in engineering
- Explains the appliance of superior probabilistic fashions together with multidisciplinary analysis
- Offers an interdisciplinary method to probabilistic fashions and their functions; thus fixing a variety of sensible issues
NOTE: The product solely consists of the ebook; Handbook of Probabilistic Models in PDF. No access codes are included.