Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Fitted Elmore delay: a simple and accurate interconnect delay model
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Predictive formulae for OPC with applications to lithography-friendly routing
Proceedings of the 45th annual Design Automation Conference
Criterion in selecting the clustering algorithm in radial basis functional link nets
WSEAS TRANSACTIONS on SYSTEMS
Predictive formulae for OPC with applications to lithography-friendly routing
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Two models to investigate Medicare fraud within unsupervised databases
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
From the Publisher:Easy to read and comprehensive, this book presents multivariate statistical methods using real-world problems and real data sets. The authors' unique approach to integrating statistical methods, data analysis, and applications of SAS software will aid professors, researchers, and students in a variety of disciplines and industries. The extensive SAS code and corresponding output accompany sample problems and clear explanations of the appropriate SAS procedures. Emphasis is on correct interpretation of the output to draw meaningful conclusions. Featuring both theory and the practical, topics covered include multivariate analysis of experimental data and repeated measures data, graphical representation of data including biplots, and multivariate regression. Supports releases 6.07 and higher of SAS software.