Article
A catch-all discrete distribution: Short description and main properties
Examples and Counterexamples
2025 — Elsevier
—Key information
Authors:
Published in
22/08/2025
Abstract
Consider a population of size N where each element has an independent probability p of being a success. By sampling this population without replacement, how many elements need to be drawn to find all successes? This paper describes this discrete distribution, derives its main properties, and validates the results through simulation.
Publication details
Authors in the community:
Nuno Fachada
ist145239
Carlos Miguel da Costa Fernandes
ist46419
Publication version
VoR - Version of Record
Publisher
Elsevier
Link to the publisher's version
https://www.sciencedirect.com/science/article/pii/S2666657X25000230
Title of the publication container
Examples and Counterexamples
First page or article number
100196
Volume
8
ISSN
2666-657X
Fields of Science and Technology (FOS)
mathematics - Mathematics
Keywords
- Discrete distribution
- All successes
- Empirical validation
- Simulation analysis
Publication language (ISO code)
eng - English
Rights type:
Open access
Creative Commons license
CC-BY - CC-BY
Financing entity
Fundação para a Ciência e a Tecnologia
Identifier for the funding entity: https://doi.org/10.13039/501100001871
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: UIDB/04111/2020
Financing entity
Fundação para a Ciência e a Tecnologia
Identifier for the funding entity: https://doi.org/10.13039/501100001871
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: UIDB/00066/2020
Financing entity
Fundação para a Ciência e a Tecnologia
Identifier for the funding entity: https://doi.org/10.13039/501100001871
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: UIDB/00408/2025
Financing entity
Fundação para a Ciência e a Tecnologia
Identifier for the funding entity: https://doi.org/10.13039/501100001871
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: CEECINST/00002/2021/CP2788/CT0001
Financing entity
Universidade Lusófona de Humanidades e Tecnologias
Identifier for the funding entity: https://doi.org/10.13039/501100021538
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: COFAC/ILIND/COPELABS/1/2024
Financing entity
Ministerio de Ciencia, Innovación y Universidades
Funding Stream: MICIU/AEI/10.13039/501100011033
Identifier for the funding entity: https://doi.org/10.13039/100014440
Type of identifier of the funding entity: Crossref Funder
Number for the project, award or grant: PID2023-147409NB-C21