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Part of the book series: Springer Texts in Statistics ((STS))

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Abstract

Most of the statistical procedures we’ve introduced in the previous 15 chapters require an assumption about the form of a probability distribution, often the Normal distribution. When such assumptions are unjustified, the consequences of the procedure are dubious at best. In situations where distributional assumptions cannot be justified, even after a well-chosen data transformation, the analyst should consider another approach.

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© 2004 Springer Science+Business Media New York

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Heiberger, R.M., Holland, B. (2004). Nonparametrics. In: Statistical Analysis and Data Display. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4284-8_16

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  • DOI: https://doi.org/10.1007/978-1-4757-4284-8_16

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-2320-2

  • Online ISBN: 978-1-4757-4284-8

  • eBook Packages: Springer Book Archive

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