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- W4384642406 abstract "We present a numeric search algorithm to determine confidence intervals for the parameters of the negative binomial distribution that are substantially more precise (shorter) than those of any existing method. We derive confidence intervals for the mean μ for any specified number of successes k by means of a conditional minimal cardinality approach that efficiently accommodates the relationship of the variability of the negative binomial distribution to its mean. Confidence intervals for the success parameter p are easily obtained from the inverse relationship between μ and p." @default.
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- W4384642406 date "2023-07-18" @default.
- W4384642406 modified "2023-09-26" @default.
- W4384642406 title "Improved interval estimation of negative binomial parameters: a coverage probability approach" @default.
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- W4384642406 doi "https://doi.org/10.1080/00949655.2023.2235046" @default.
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