EconPapers    
Economics at your fingertips  
 

Correction to: Bayesian estimation of the number of species from Poisson–Lindley stochastic abundance model using non-informative priors

Alaaeldin Mohamed Dyab () and Hiba Zeyada Muhammed ()
Additional contact information
Alaaeldin Mohamed Dyab: South Valley University
Hiba Zeyada Muhammed: Cairo University

Computational Statistics, 2025, vol. 40, issue 5, No 7, 2489 pages

Abstract: Abstract This article is a correction for issues encountered in Pathak et al. (Comput Stat 1–26, 2024). The main issue was the wrong formulas used for the elements of the information matrix of Poisson Lindley stochastic abundance model which affected both the frequentist estimation and Bayesian estimation. The illustrative example employed in Pathak et al. (Comput Stat 1–26, 2024) was revised accordingly and new results were reported.

Keywords: Species estimation; Poisson-Lindley distribution; Jeffrey’s prior; Bernardo’s reference prior (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00180-024-01550-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:40:y:2025:i:5:d:10.1007_s00180-024-01550-w

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/180/PS2

DOI: 10.1007/s00180-024-01550-w

Access Statistics for this article

Computational Statistics is currently edited by Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

More articles in Computational Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-05-25
Handle: RePEc:spr:compst:v:40:y:2025:i:5:d:10.1007_s00180-024-01550-w