Optimal reduction of a spatial monitoring grid: Proposals and applications in process control
暂无分享,去创建一个
[1] Claude E. Shannon,et al. A mathematical theory of communication , 1948, MOCO.
[2] Alfred Stein,et al. Constrained Optimization of Spatial Sampling using Continuous Simulated Annealing , 1998 .
[3] V. Roshan Joseph,et al. Bayesian process optimization using failure amplification method , 2011 .
[4] G. Verly,et al. The multigaussian approach and its applications to the estimation of local reserves , 1983 .
[5] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[6] N. Wells. 3D.BAS, a QuickBasic program for three-dimensional stereo-scatterplots of XYZ data , 2001 .
[7] Jürgen Pilz,et al. Network optimization algorithms and scenarios in the context of automatic mapping , 2011, Comput. Geosci..
[8] J. W. Groenigen,et al. Constrained optimisation of soil sampling for minimisation of the kriging variance , 1999 .
[9] G. Heuvelink,et al. Optimization of sample patterns for universal kriging of environmental variables , 2007 .
[10] Dr. Zbigniew Michalewicz,et al. How to Solve It: Modern Heuristics , 2004 .
[11] T. C. Haas,et al. Kriging and automated variogram modeling within a moving window , 1990 .
[12] Atsuyuki Okabe,et al. Spatial Tessellations: Concepts and Applications of Voronoi Diagrams , 1992, Wiley Series in Probability and Mathematical Statistics.
[13] Kwang-Jae Kim,et al. A case study on modeling and optimizing photolithography stage of semiconductor fabrication process , 2010, Qual. Reliab. Eng. Int..
[14] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[15] J. Chilès,et al. Geostatistics: Modeling Spatial Uncertainty , 1999 .
[16] Jye-Chyi Lu,et al. A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology , 2009 .
[17] Timothy B. Spruill,et al. Two Approaches to Design of Monitoring Networks , 1990 .
[18] Emile H. L. Aarts,et al. Simulated annealing and Boltzmann machines - a stochastic approach to combinatorial optimization and neural computing , 1990, Wiley-Interscience series in discrete mathematics and optimization.
[19] Don L. Stevens,et al. Sparse sampling: Spatial design for monitoring stream networks , 2008, 0808.4057.
[20] Pierre Goovaerts,et al. Second-Phase Sampling Designs for Non-Stationary Spatial Variables. , 2009, Geoderma.
[21] Montserrat Fuentes,et al. Bayesian entropy for spatial sampling design of environmental data , 2007, Environmental and Ecological Statistics.
[22] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[23] Way Kuo,et al. Model-based clustering for integrated circuit yield enhancement , 2007, Eur. J. Oper. Res..
[24] Mike Rees,et al. 5. Statistics for Spatial Data , 1993 .
[25] W. Cleveland. Robust Locally Weighted Regression and Smoothing Scatterplots , 1979 .
[26] Noel A. C. Cressie,et al. Statistics for Spatial Data: Cressie/Statistics , 1993 .
[27] Peter J. Diggle,et al. Bayesian Geostatistical Design , 2006 .
[28] J. J. de Gruijter,et al. An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means , 2010, Comput. Geosci..
[29] Lara Fontanella,et al. Optimal spatial sampling schemes for environmental surveys , 2004, Environmental and Ecological Statistics.
[30] Fuh-Der Chou,et al. A simulated annealing approach with probability matrix for semiconductor dynamic scheduling problem , 2008, Expert Syst. Appl..
[31] Evangelos A. Yfantis,et al. Efficiency of kriging estimation for square, triangular, and hexagonal grids , 1987 .
[32] Noel A Cressie,et al. Statistics for Spatial Data. , 1992 .
[33] Changsoon Park,et al. CUSUM charts for detecting special causes in integrated process control , 2010, Qual. Reliab. Eng. Int..
[34] Christina Mastrangelo,et al. Addressing multicollinearity in semiconductor manufacturing , 2011, Qual. Reliab. Eng. Int..