Abstract
For the statistical analysis of many geoscience data, incompleteness of data — either truncated and/or randomly censored, causes much difficulty. The first step toward analysing such data is to estimate the distribution and quantile functions, and to infer about the distribution and quantile functions by constructing the confidence bands for the functions from the truncated and/or censored observations. We not only introduce the methodologies but also apply them to geoscience data as illustration.
Geological Survey of Canada Contribution Number 23787
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© 1988 D. Reidel Publishing Company, Dordrecht, Holland
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Chung, CJ.F. (1988). Confidence Bands for the Distribution and Quantile Functions for Truncated and Randomly Censored Data. In: Chung, C.F., Fabbri, A.G., Sinding-Larsen, R. (eds) Quantitative Analysis of Mineral and Energy Resources. NATO ASI Series, vol 223. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4029-1_26
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DOI: https://doi.org/10.1007/978-94-009-4029-1_26
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