Motivated Metamodels : Synthesis of Cause-Effect Reasoning and Statistical

Motivated Metamodels : Synthesis of Cause-Effect Reasoning and Statistical

Editorial Reviews
Book Description
Illuminates why it can be important to improve the quality of metamodels by using even modest phenomenological knowledge to help structure them.

About the Author
Paul K. Davis (Ph.D., M.I.T., Chemical Physics) is a senior scientist and research leader at RAND.

James H. Bigelow (Ph.D., Operations Research (1970), Stanford University) is a senior mathematician at RAND.

Motivated Metamodels: Synthesis of Cause-Effect Reasoning and Statistical,Paul K. Davis,RAND Corporation,0833033190,Computer Simulation,Decision making,Science,Science/Mathematics,Technical & Manufacturing Trades,Technology,Computer modelling & simulation,Mathematical modelling,Non-Classifiable,Theory of warfare & military science

Books Info:

1. Multibody Mechanics and Visualisation
2. Multifractals: Theory and Applications
3. Multiple Model Approaches to Modelling and Control
4. Neural Nets and Chaotic Carriers (Wiley Interscience Series in Systems and Optimization)
5. Nonassociative Algebra and Its Applications (Lecture Notes in Pure and Applied Mathematics)
6. Nonhomogeneous Matrix Products
7. Nonparametric Statistical Methods For Complete and Censored Data
8. Numerical Computation 2 : Methods, Software, and Analysis
9. Numerical Mathematics and Advanced Applications : Proceedings of ENUMATH 2003 the 5th European Conference on Numerical Mathematics and Advanced Applications. Prague, August 2003
10. Numerical Methods and Software Tools in Industrial Mathematics

Books Info

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