Computation of Probability Associated with Anderson–Darling Statistic

The correct application of a statistical test is directly connected with information related to the distribution of data. Anderson–Darling is one alternative used to test if the distribution of experimental data follows a theoretical distribution. The conclusion of the Anderson–D...

Full description

Bibliographic Details
Main Authors: Lorentz Jäntschi, Sorana D. Bolboacă
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Mathematics
Subjects:
Online Access:http://www.mdpi.com/2227-7390/6/6/88
_version_ 1828487862111174656
author Lorentz Jäntschi
Sorana D. Bolboacă
author_facet Lorentz Jäntschi
Sorana D. Bolboacă
author_sort Lorentz Jäntschi
collection DOAJ
description The correct application of a statistical test is directly connected with information related to the distribution of data. Anderson–Darling is one alternative used to test if the distribution of experimental data follows a theoretical distribution. The conclusion of the Anderson–Darling test is usually drawn by comparing the obtained statistic with the available critical value, which did not give any weight to the same size. This study aimed to provide a formula for calculation of p-value associated with the Anderson–Darling statistic considering the size of the sample. A Monte Carlo simulation study was conducted for sample sizes starting from 2 to 61, and based on the obtained results, a formula able to give reliable probabilities associated to the Anderson–Darling statistic is reported.
first_indexed 2024-12-11T09:58:24Z
format Article
id doaj.art-c53eb748880a4b4ba1ae7e6c1aca8840
institution Directory Open Access Journal
issn 2227-7390
language English
last_indexed 2024-12-11T09:58:24Z
publishDate 2018-05-01
publisher MDPI AG
record_format Article
series Mathematics
spelling doaj.art-c53eb748880a4b4ba1ae7e6c1aca88402022-12-22T01:12:11ZengMDPI AGMathematics2227-73902018-05-01668810.3390/math6060088math6060088Computation of Probability Associated with Anderson–Darling StatisticLorentz Jäntschi0Sorana D. Bolboacă1Department of Physics and Chemistry, Technical University of Cluj-Napoca, Muncii Blvd. No. 103-105, Cluj-Napoca 400641, RomaniaDepartment of Medical Informatics and Biostatistics, Iuliu Haţieganu University of Medicine and Pharmacy, Louis Pasteur Str., No. 6, Cluj-Napoca 400349, RomaniaThe correct application of a statistical test is directly connected with information related to the distribution of data. Anderson–Darling is one alternative used to test if the distribution of experimental data follows a theoretical distribution. The conclusion of the Anderson–Darling test is usually drawn by comparing the obtained statistic with the available critical value, which did not give any weight to the same size. This study aimed to provide a formula for calculation of p-value associated with the Anderson–Darling statistic considering the size of the sample. A Monte Carlo simulation study was conducted for sample sizes starting from 2 to 61, and based on the obtained results, a formula able to give reliable probabilities associated to the Anderson–Darling statistic is reported.http://www.mdpi.com/2227-7390/6/6/88Anderson–Darling test (AD)probabilityMonte Carlo simulation
spellingShingle Lorentz Jäntschi
Sorana D. Bolboacă
Computation of Probability Associated with Anderson–Darling Statistic
Mathematics
Anderson–Darling test (AD)
probability
Monte Carlo simulation
title Computation of Probability Associated with Anderson–Darling Statistic
title_full Computation of Probability Associated with Anderson–Darling Statistic
title_fullStr Computation of Probability Associated with Anderson–Darling Statistic
title_full_unstemmed Computation of Probability Associated with Anderson–Darling Statistic
title_short Computation of Probability Associated with Anderson–Darling Statistic
title_sort computation of probability associated with anderson darling statistic
topic Anderson–Darling test (AD)
probability
Monte Carlo simulation
url http://www.mdpi.com/2227-7390/6/6/88
work_keys_str_mv AT lorentzjantschi computationofprobabilityassociatedwithandersondarlingstatistic
AT soranadbolboaca computationofprobabilityassociatedwithandersondarlingstatistic