EconPapers    
Economics at your fingertips  
 

Multiple testing corrections in a climate complex network

Viola Meroni and Carlo De Michele

Physica A: Statistical Mechanics and its Applications, 2022, vol. 597, issue C

Abstract: Multiple testing corrections (MTC) are used to reduce type I error in a group of two or more tests, or when two or more tests address a common null hypothesis. The MTC methods available can be divided into two different families according to the control of type I error: (i) the family-wise error rate; (ii) the false discovery. Four MTC methods are investigated here, highlighting advantages and disadvantages in complex networks. We use a binarized precipitation network as illustrative case study. False discovery rate corrections seem to be a better option in complex network analyses.

Keywords: Climate network; Complex system; Multiple testing correction; Family-wise error rate; False discovery rate (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437122002254
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:597:y:2022:i:c:s0378437122002254

DOI: 10.1016/j.physa.2022.127254

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:597:y:2022:i:c:s0378437122002254