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Introduction.- Uniformity Criteria.- Construction of Uniform Designs-Deterministic Methods.- Construction of Uniform Designs-Algorithmic Optimization Methods.- Modeling Techniques.- Connections Between Uniformity and Other Design Criteria.- Applications of Uniformity in Other Design Types.- Uniform...
Read More about Theory and Application of Uniform Experimental Designs (Lecture Notes in Statistics #221)Growth curve models are an active research area in multivariate analysis with applications to economics, biology, medical research, and epidemiology. This monograph by two of the leading researchers in the area discusses both theoretical and practical aspects.
Read More about Growth Curve Models and Statistical Diagnostics (Springer Statistics)This volume represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MCQMC 2000) which was held at Hong Kong Baptist Uni versity from November 27 to December 1, 2000. The program of this con ference was arranged...
Read More about Monte Carlo and Quasi-Monte Carlo Methods 2000: Proceedings of a Conference Held at Hong Kong Baptist University, Hong Kong Sar, China, November 27 -Growth curve models are an active research area in multivariate analysis with applications to economics, biology, medical research, and epidemiology. This monograph by two of the leading researchers in the area discusses both theoretical and practical aspects.
Read More about Growth Curve Models and Statistical Diagnostics (Springer Statistics)Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific...
Read More about Design and Modeling for Computer Experiments (Chapman & Hall/CRC Computer Science & Data Analysis)Statistical simulation has become a cornerstone in both statistical research and applications, particularly through the Monte Carlo (MC) method. One of the pioneering resampling techniques is the bootstrap method. This book explores the use of simulation to construct approximate distributions via...
Read More about Representative Points of Statistical Distributions: Applications in Statistical InferenceThe boundaries of singularity theory are broad and vague, connecting the most important applications of mathematics and science with more abstract areas. Optics, robotics, computer vision, Hamiltonian mechanics, bifurcation theory and differential equations are among the variety of topics that...
Read More about Real and Complex Singularities (Chapman & Hall/CRC Research Notes in Mathematics #412)Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate distributions. The book by Fang, Kotz and Ng...
Read More about Symmetric Multivariate and Related DistributionsComputer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific...
Read More about Design and Modeling for Computer Experiments (Chapman & Hall/CRC Computer Science & Data Analysis)