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Confidence Intervals for Mean Difference Between Two Delta-Distributions

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Robust Rank-Based and Nonparametric Methods

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 168))

Abstract

Traditional two-sample estimation procedures like pooled-t, Welch’s t, and the Wilcoxon-Hodges-Lehmann are often used for skewed data and data inflated with zero values. We investigate how well these work compared to dedicated procedures that consider the specialized nature of the data.

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Author information

Authors and Affiliations

  1. MMS Holdings, Inc., Canton, MI, USA

    Karen V. Rosales

  2. Department of Statistics, Western Michigan University, Kalamazoo, MI, 49008, USA

    Joshua D. Naranjo

Authors
  1. Karen V. Rosales
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  2. Joshua D. Naranjo
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Corresponding author

Correspondence to Joshua D. Naranjo .

Editor information

Editors and Affiliations

  1. Department of Statistics, Rutgers University, New Brunswick, New Jersey, USA

    Regina Y. Liu

  2. Department Statistics, Western Michigan University, Kalamazoo, Michigan, USA

    Joseph W. McKean

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© 2016 Springer International Publishing Switzerland

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Rosales, K.V., Naranjo, J.D. (2016). Confidence Intervals for Mean Difference Between Two Delta-Distributions. In: Liu, R., McKean, J. (eds) Robust Rank-Based and Nonparametric Methods. Springer Proceedings in Mathematics & Statistics, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-39065-9_15

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