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Quantile Estimation Using a Combination of Stratified Sampling and Control Variates

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Industrial Engineering, Management Science and Applications 2015

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 349))

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Abstract

Quantiles are used to measure risk in many application areas. We consider simulation methods for estimating a quantile using a variance-reduction technique that combines stratified sampling and control variates. We provide an asymptotically valid confidence interval for the quantile.

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Correspondence to Marvin K. Nakayama .

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Nakayama, M.K. (2015). Quantile Estimation Using a Combination of Stratified Sampling and Control Variates. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_12

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  • DOI: https://doi.org/10.1007/978-3-662-47200-2_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47199-9

  • Online ISBN: 978-3-662-47200-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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