A catch-all discrete distribution: Short description and main properties

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 validat...

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Main Authors: Nuno Fachada, João P. Matos-Carvalho, Carlos M. Fernandes
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Examples and Counterexamples
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666657X25000230
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author Nuno Fachada
João P. Matos-Carvalho
Carlos M. Fernandes
author_facet Nuno Fachada
João P. Matos-Carvalho
Carlos M. Fernandes
author_sort Nuno Fachada
collection DOAJ
description 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.
format Article
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publishDate 2025-12-01
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series Examples and Counterexamples
spelling doaj-art-aa8ca96023734c3e8f56032d3178ea6f2025-08-23T04:49:15ZengElsevierExamples and Counterexamples2666-657X2025-12-01810019610.1016/j.exco.2025.100196A catch-all discrete distribution: Short description and main propertiesNuno Fachada0João P. Matos-Carvalho1Carlos M. Fernandes2Lusófona University, Campo Grande, 376, Lisboa, 1749-024, Portugal; Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), Caparica, 2829-516, Portugal; Corresponding author at: Lusófona University, Campo Grande, 376, Lisboa, 1749-024, Portugal.LASIGE and Departamento de Informática, Faculdade de Ciências, University of Lisbon, Campo Grande, Lisboa, 1749-016, Portugal; Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), Caparica, 2829-516, PortugalLusófona University, Campo Grande, 376, Lisboa, 1749-024, Portugal; Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), Caparica, 2829-516, PortugalConsider 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.http://www.sciencedirect.com/science/article/pii/S2666657X25000230Discrete distributionAll successesEmpirical validationSimulation analysis
spellingShingle Nuno Fachada
João P. Matos-Carvalho
Carlos M. Fernandes
A catch-all discrete distribution: Short description and main properties
Examples and Counterexamples
Discrete distribution
All successes
Empirical validation
Simulation analysis
title A catch-all discrete distribution: Short description and main properties
title_full A catch-all discrete distribution: Short description and main properties
title_fullStr A catch-all discrete distribution: Short description and main properties
title_full_unstemmed A catch-all discrete distribution: Short description and main properties
title_short A catch-all discrete distribution: Short description and main properties
title_sort catch all discrete distribution short description and main properties
topic Discrete distribution
All successes
Empirical validation
Simulation analysis
url http://www.sciencedirect.com/science/article/pii/S2666657X25000230
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