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Research Article Open access CC BY 4.0

On Zero-Truncated Negative Binomial with Excess Ones

E. Teju Jolayemi, S. A. Aderoju

Asian Journal of Probability and Statistics · pp. 45–50 · Published 11 May 2023

10.9734/ajpas/2023/v22i3487

Abstract

In this paper, Zero-truncated negative binomial distribution is modified to include excess ones to improve goodness-of-fit. This is necessary when data are dispersed and zero has been eliminated from data structurally. However, when the ones are unduly large, the proportion of this excess must be recognized and estimated to improve the fit. This development is applied using real data from a national survey.

Excess ones negative binomial zero-truncated goodness-of-fit

References (12)

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