Controlled Morris method: A new factor screening approach empowered by a distribution-free sequential multiple testing procedure
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[1] Juan Miguel Ortiz-de-Lazcano-Lobato,et al. Soft clustering for nonparametric probability density function estimation , 2007, Pattern Recognit. Lett..
[2] Max D. Morris,et al. Input screening: Finding the important model inputs on a budget , 2006, Reliab. Eng. Syst. Saf..
[3] Bruce E. Ankenman,et al. Screening for Dispersion Effects by Sequential Bifurcation , 2014, ACM Trans. Model. Comput. Simul..
[4] Weichung Wang,et al. Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques , 2016, Technometrics.
[5] Wen Shi,et al. An Efficient Morris Method-Based Framework for Simulation Factor Screening , 2019, INFORMS J. Comput..
[6] Shyamal K. De,et al. Step-up and step-down methods for testing multiple hypotheses in sequential experiments , 2012 .
[7] A. R. Ravishankara,et al. A sensitivity analysis of key natural factors in the modeled global acetone budget , 2017 .
[8] David B. Dunson,et al. Statistics in the big data era: Failures of the machine , 2018 .
[9] Biagio Ciuffo,et al. Combining screening and metamodel-based methods: An efficient sequential approach for the sensitivity analysis of model outputs , 2015, Reliab. Eng. Syst. Saf..
[10] Lee W. Schruben,et al. An experimental procedure for simulation response surface model identification , 1987, CACM.
[11] W. Härdle. Applied Nonparametric Regression , 1991 .
[12] Danijel Skocaj,et al. Multivariate online kernel density estimation with Gaussian kernels , 2011, Pattern Recognit..
[13] Hong Wan,et al. Sequential procedures for multiple responses factor screening , 2014, Proceedings of the Winter Simulation Conference 2014.
[14] Guohui Zhang,et al. A Gaussian Kernel-Based Approach for Modeling Vehicle Headway Distributions , 2014, Transp. Sci..
[15] Roger D. Braddock,et al. The New Morris Method: an efficient second-order screening method , 2002, Reliab. Eng. Syst. Saf..
[16] Berk Ustun,et al. Importance Sampling in Stochastic Programming: A Markov Chain Monte Carlo Approach , 2015, INFORMS J. Comput..
[17] Alexis Boukouvalas,et al. An Efficient Screening Method for Computer Experiments , 2014, Technometrics.
[18] Hong Wan,et al. Simulation screening experiments using Lasso-optimal supersaturated design and analysis: A maritime operations application , 2013, 2013 Winter Simulations Conference (WSC).
[19] Monica Menendez,et al. Extending Morris method for qualitative global sensitivity analysis of models with dependent inputs , 2017, Reliab. Eng. Syst. Saf..
[20] Susan M. Lewis,et al. Design of experiments for screening , 2015, 1510.05248.
[21] Max D. Morris,et al. Factorial sampling plans for preliminary computational experiments , 1991 .
[22] Michael Baron,et al. Sequential Bonferroni Methods for Multiple Hypothesis Testing with Strong Control of Family-Wise Error Rates I and II , 2012 .
[23] C. F. Jeff Wu,et al. Experiments , 2021, Wiley Series in Probability and Statistics.
[24] Barry L. Nelson,et al. Improving the Efficiency and Efficacy of Controlled Sequential Bifurcation for Simulation Factor Screening , 2010, INFORMS J. Comput..
[25] Gilles Pujol,et al. Simplex-based screening designs for estimating metamodels , 2009, Reliab. Eng. Syst. Saf..
[26] A. Wald. Sequential Tests of Statistical Hypotheses , 1945 .
[27] Joshua J. Millspaugh,et al. Effects of sample size on kernel home range estimates , 1999 .
[28] C. Antoniak,et al. A distribution-free sequential probability-ratio test for multiple-resolution-element radars (Corresp.) , 1968, IEEE Trans. Inf. Theory.
[29] M. Rendas,et al. Extending Morris Method: identification of the interaction graph using cycle-equitabe designs , 2015 .
[30] G. Deman,et al. Sensitivity analysis of groundwater lifetime expectancy to hydro-dispersive parameters: The case of ANDRA Meuse/Haute-Marne site , 2015, Reliab. Eng. Syst. Saf..
[31] J. Bartroff,et al. Sequential Tests of Multiple Hypotheses Controlling Type I and II Familywise Error Rates. , 2013, Journal of statistical planning and inference.
[32] M. Cuntz,et al. Conditioning a Hydrologic Model Using Patterns of Remotely Sensed Land Surface Temperature , 2018 .
[33] Roger David Braddock,et al. The use of graph theory in the sensitivity analysis of the model output: a second order screening method , 1999 .
[34] Zhaohong Deng,et al. FRSDE: Fast reduced set density estimator using minimal enclosing ball approximation , 2008, Pattern Recognit..
[35] Jack P. C. Kleijnen,et al. State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments , 2005, INFORMS J. Comput..
[36] Bohyung Han,et al. Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Theo Gasser,et al. A Unifying Approach to Nonparametric Regression Estimation , 1988 .
[38] Jack P. C. Kleijnen. Design and Analysis of Simulation Experiments , 2007 .
[39] R. Tibshirani,et al. An introduction to the bootstrap , 1993 .
[40] Michael Baron,et al. Sequential tests controlling generalized familywise error rates , 2015 .
[41] Andrea Saltelli,et al. An effective screening design for sensitivity analysis of large models , 2007, Environ. Model. Softw..
[42] Jack P. C. Kleijnen,et al. Searching for important factors in simulation models with many factors: Sequential bifurcation , 1997 .
[43] Danijel Skocaj,et al. Online kernel density estimation for interactive learning , 2010, Image Vis. Comput..
[44] Joachim Engel,et al. The choice of weights in kernel regression estimation , 1990 .
[45] Barry L. Nelson,et al. Controlled Sequential Bifurcation: A New Factor-Screening Method for Discrete-Event Simulation , 2006, Oper. Res..
[46] Zhenzhou Lu,et al. A new effective screening design for structural sensitivity analysis of failure probability with the epistemic uncertainty , 2016, Reliab. Eng. Syst. Saf..
[47] Thomas J. Santner,et al. Two-Stage Sensitivity-Based Group Screening in Computer Experiments , 2012, Technometrics.
[48] Benjamin Lamoureux,et al. A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators , 2014, Reliab. Eng. Syst. Saf..
[49] Susan M. Sanchez,et al. So many factors, so little time...Simulation experiments in the frequency domain , 2006 .
[50] Jack P. C. Kleijnen,et al. Factor Screening for Simulation with Multiple Responses: Sequential Bifurcation , 2013, Eur. J. Oper. Res..
[51] Kullback–Leibler Information , 2005 .
[52] Chenggang Yu,et al. A non-parametric sequential rank-sum probability ratio test method for binary hypothesis testing , 2004, Signal Process..