Abstract
In Chapter 7 the class ℐ was extended to contain distributions on ℝ also. In this chapter we consider instead a class of probability distributions on \(\mathbb{N}_0 = \{0, 2,\cdots\}\), this being the discrete analogue of ℐ. The analogue of the Gamma distribution is the Negative Binomial distribution. By a generalized Negative Binomial convolution (GNBC), we mean a limit distribution for a sequence of finite convolutions of Negative Binomial distributions. The class of GNBC’s is denoted ℐd. Many of the results valid for ℐ have their counterparts for ℐd, but there are also several complications.
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© 1992 Springer-Verlag New York, Inc.
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Bondesson, L. (1992). Generalized Negative Binomial Convolutions. In: Generalized Gamma Convolutions and Related Classes of Distributions and Densities. Lecture Notes in Statistics, vol 76. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2948-3_8
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DOI: https://doi.org/10.1007/978-1-4612-2948-3_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97866-6
Online ISBN: 978-1-4612-2948-3
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