Graphical techniques for output analysis

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Graphical techniques for output analysis

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Winter Simulation Conference archive
Proceedings of the 24th conference on Winter simulation table of contents

Arlington, Virginia, United States

Pages: 314 - 319

Year of Publication: 1992

ISBN:0-7803-0798-4

Author

David Alan Grier

Sponsors

ASA : American Statistical Association
NIST : National Institue of Standards & Technology
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
TIMS :
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation

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ACM New York, NY, USA

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Downloads (6 Weeks): 3, Downloads (12 Months): 20, Citation Count: 7

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Law and Kelton (1991, p380 ff) give a good overview of the QQ plot. The confidence bound may be found in Doksum and Sievers (1977).
	2	Law and Kelton (1991) give a brief discussion of box-plots (381 ff). Other references are Tukey (1977) and Chambers, Cleveland, Kliener, Tukey (1983).
	3	The meamn smoomer ~s presemea m lmcey tl~ ~) and Mosteller and Tukey (1977). The lowess smoother is found in Cleveland (1981) and the best treatment of splines and spline smoothers is found in de Boor (1978). A more theoretical treatment is in Buja, Hastie and Tibshirani (1989).
	4	Scatterplot matrices and brushing are discused in Becker, Cleveland ,Wilks (1987) and Cleveland , Chambers,Cleveland,Kliener,Turkey (1983). The Grand Tour is found in Asimov (1985) and projection pursuit in Friedman, and Turky (1974). All of these methods are available in System ,described in Becker,Chambers and Wilks (1988)
	5	Andrews plots, start plots and other tools for viewing multidimensional data are described in Andrews (1972).
	6	Andrews, D. 1972. Plots of High Dimensional Data. Biometrics 28" 125-136.
	7	Daniel Asimov, The grand tour: a tool for viewing multidimensional data, SIAM Journal on Scientific and Statistical Computing, v.6 n.1, p.128-143, Jan. 1985 [doi>10.1137/0906011]
	8	Becket, R. A., J. M. Chambers and A. R. Wilks. 1988. The New S Language, Pacific Grove, CA: Wadsworth and Brooks/Cole.
	9	Becker, R. A., W. S. Cleveland, and A. R. Wilks. 1987. Dynamic Graphics for Data Analysis. Statistical Science 2:355-395.
	10	Buja, A., T. Hastie and R. Tibshirani. 1989. Linear Smoothers and Adaptive Models. The Annals of Statistics 17:453-555, with discussion.
	11	Chambers, J. M., W. S. Cleveland, B. Kliener, P. A. Tukey. 1983. Graphical Methods for Data Analysis. Boston: Wadsworth International, Duxbury Press.
	12	William S. Cleveland, The elements of graphing data, Wadsworth Publ. Co., Belmont, CA, 1985
	13	Cleveland, W. S. 1987. Research in Statistical Graphics. Journal of the American Statistical Association 82:419-423.
	14	William C. Cleveland , Marylyn E. McGill, Dynamic Graphics for Statistics, CRC Press, Inc., Boca Raton, FL, 1988
	15	Cleveland, W. S. 1981. LOWESS: A program for smoothing scatter plots by robust locally weig}hted regression. The American Statistician 35:54.
	16	de Boor, C. 1978. A Practical Guide to Splines, New York: Springer-Verlag.
	17	Doksum, K. and G. L. Sievers. 1977. Plotting wit}h confidence: Graphical comparisons of two populations. Biometrika 63:421-434.
	18	Friedman, J. H., W. Stuetzle, and A. Schroeder. lO84. Projection pursuit density estimation, Journal of the American Statistical Association, 79:599-608.
	19	Friedman, J. H., and J. W. Tukey. 1974. A projection pursuit algorithm for exploratory data analysis, IEEE Transactions on Computers C-23:881-889.
	20	Averill M. Law , W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill Higher Education, 1997
	21	Mostelleter, F. and J. Tukey. 1977. Data Analysis and egression, Reading, Massachusetts: Addison- Wesley.
	22	Edward R. Tufte, The visual display of quantitative information, Graphics Press, Cheshire, CT, 1986
	23	Tukey, J. 1977. Exploratory Data Analysis. Reading, MA: Addison-Wesley.

CITED BY 7

	W. David Kelton, Statistical analysis of simulation output, Proceedings of the 29th conference on Winter simulation, p.23-30, December 07-10, 1997, Atlanta, Georgia, United States
	W. David Kelton, Analysis of output data, Proceedings of the 26th conference on Winter simulation, p.62-68, December 11-14, 1994, Orlando, Florida, United States
	Susan M. Sanchez, Output modeling: abc's of output analysis, Proceedings of the 33nd conference on Winter simulation, December 09-12, 2001, Arlington, Virginia
	Martha A. Centeno , M. Florencia Reyes, So you have your model: what to do next. A tutorial on simulation output analysis, Proceedings of the 30th conference on Winter simulation, p.23-30, December 13-16, 1998, Washington, D.C., United States
	Susan M. Sanchez, ABC's of output analysis, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.24-32, December 05-08, 1999, Phoenix, Arizona, United States
	W. David Kelton, A tutorial on design and analysis of simulation experiments, Proceedings of the 27th conference on Winter simulation, p.24-31, December 03-06, 1995, Arlington, Virginia, United States
	W. David Kelton, Statistical issues in simulation, Proceedings of the 28th conference on Winter simulation, p.47-54, December 08-11, 1996, Coronado, California, United States