Krzysztof Podgórski
Prefekt Statistiska institutionen, Professor
Transmuted distributions and extrema of random number of variables
Författare
Summary, in English
Recent years have seen an increased interest in the transmuted probability models,which arise from transforming a “base” distribution into its generalized counterpart. While many standard probability distributions were generalized throughout this simple construction, the concept lacked deeper theoretical interpretation. This note demonstrates that the scheme is more than just a simple trick to obtain a new cumulative distribution function. We show that the transmuted distributions can be viewed as the distribution of maxima (or minima) of a random number N of independent and identically distributed variables with the base distribution, where N has a Bernoulli distribution shifted up by one. Consequently, the transmuted models are, in fact, only a special case of extremal distributions defined through a more general N .
Avdelning/ar
- Statistiska institutionen
Publiceringsår
2016
Språk
Engelska
Publikation/Tidskrift/Serie
Working Papers in Statistics
Issue
2016:6
Fulltext
- Available as PDF - 395 kB
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Dokumenttyp
Working paper
Förlag
Department of Statistics, Lund university
Ämne
- Probability Theory and Statistics
Aktiv
Published