Shapiro-Wilk test for skew normal distributions based on data transformations

A probability property that connects the skew normal (SN) distribution with the normal distribution is used for proposing a goodness-of-fit test for the composite null hypothesis that a random sample follows an SN distribution with unknown parameters. The random sample is transformed to approximatel...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of statistical computation and simulation Ročník 89; číslo 17; s. 3258 - 3272
Hlavní autori: González-Estrada, Elizabeth, Cosmes, Waldenia
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Abingdon Taylor & Francis 22.11.2019
Taylor & Francis Ltd
Predmet:
Anderson-Darling test
Computer simulation
Goodness of fit
Monte Carlo simulation
Normal distribution
Normality
normality test
Null hypothesis
Parameters
parametric bootstrap
Random variables
skew data sets
Skewed distributions
Statistical analysis
Statistical tests
tests of hypotheses
ISSN:0094-9655, 1563-5163
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract A probability property that connects the skew normal (SN) distribution with the normal distribution is used for proposing a goodness-of-fit test for the composite null hypothesis that a random sample follows an SN distribution with unknown parameters. The random sample is transformed to approximately normal random variables, and then the Shapiro-Wilk test is used for testing normality. The implementation of this test does not require neither parametric bootstrap nor the use of tables for different values of the slant parameter. An additional test for the same problem, based on a property that relates the gamma and SN distributions, is also introduced. The results of a power study conducted by the Monte Carlo simulation show some good properties of the proposed tests in comparison to existing tests for the same problem.
AbstractList A probability property that connects the skew normal (SN) distribution with the normal distribution is used for proposing a goodness-of-fit test for the composite null hypothesis that a random sample follows an SN distribution with unknown parameters. The random sample is transformed to approximately normal random variables, and then the Shapiro-Wilk test is used for testing normality. The implementation of this test does not require neither parametric bootstrap nor the use of tables for different values of the slant parameter. An additional test for the same problem, based on a property that relates the gamma and SN distributions, is also introduced. The results of a power study conducted by the Monte Carlo simulation show some good properties of the proposed tests in comparison to existing tests for the same problem.
Author Cosmes, Waldenia
González-Estrada, Elizabeth
Author_xml – sequence: 1
  givenname: Elizabeth
  orcidid: 0000-0002-3086-0605
  surname: González-Estrada
  fullname: González-Estrada, Elizabeth
  email: egonzalez@colpos.mx
  organization: Colegio de Postgraduados
– sequence: 2
  givenname: Waldenia
  orcidid: 0000-0003-4271-694X
  surname: Cosmes
  fullname: Cosmes, Waldenia
  organization: Colegio de Postgraduados
BookMark eNqFkEtLAzEYRYNUsFZ_ghBwPTXvTnCjFF9QcaHiMmRmEkw7TWqSUvrvnWnrxoWusvjOvbmcUzDwwRsALjAaY1SiK4Qkk4LzMUFYjrHg5UTQIzDEXNCCY0EHYNgzRQ-dgNOU5gghjDkZgufXT71yMRQfrl3AbFKGNkSYFmYDfYhL3cLGpRxdtc4u-AQrnUwDg4eNzhrmqH2yPbe7noFjq9tkzg_vCLzf371NH4vZy8PT9HZW1JSWucCmYVZaSzk3hE2YsFgQIgxClgrGLDOMSyIrhquqlJjUtBHGGsqsQJZUlI7A5b53FcPXuhut5mEdffelIkQS1nVS0lHXe6qOIaVorKpd3g3tZrtWYaR6f-rHn-r9qYO_Ls1_pVfRLXXc_pu72eec34nZhNg2KuttG6LtdNUuKfp3xTfamokM
CitedBy_id crossref_primary_10_3390_systems10050154
crossref_primary_10_1002_cae_22443
crossref_primary_10_1016_j_nepr_2022_103386
crossref_primary_10_1007_s10660_024_09898_3
crossref_primary_10_1016_j_cscm_2023_e02451
crossref_primary_10_1080_00949655_2024_2349117
crossref_primary_10_3390_su17052202
crossref_primary_10_2196_65001
crossref_primary_10_1007_s11769_025_1502_9
crossref_primary_10_3390_app15020633
crossref_primary_10_3390_foods11142121
crossref_primary_10_1038_s41598_024_71314_5
crossref_primary_10_3390_w16162310
crossref_primary_10_1002_cbdv_202401308
crossref_primary_10_3390_app12157577
crossref_primary_10_1016_j_wasman_2024_09_010
crossref_primary_10_1016_j_envpol_2025_127040
crossref_primary_10_3390_ijerph192214814
crossref_primary_10_1007_s00521_023_09003_z
crossref_primary_10_3390_foods12061166
crossref_primary_10_1109_JSEN_2023_3307596
crossref_primary_10_1016_j_scitotenv_2024_172104
crossref_primary_10_2478_picbe_2025_0347
crossref_primary_10_3390_bios15010056
crossref_primary_10_1049_iet_spr_2019_0242
crossref_primary_10_1186_s13102_025_01203_5
crossref_primary_10_1016_j_compstruct_2024_118034
crossref_primary_10_1109_ACCESS_2023_3333895
crossref_primary_10_1177_20552076231187605
crossref_primary_10_1080_10494820_2025_2554242
crossref_primary_10_1063_5_0249780
crossref_primary_10_1186_s12888_024_06196_y
crossref_primary_10_1016_j_foodchem_2024_142471
crossref_primary_10_3390_admsci15070266
crossref_primary_10_5902_1983465986555
crossref_primary_10_3390_w17152272
crossref_primary_10_1109_ACCESS_2023_3288425
crossref_primary_10_1080_00949655_2025_2512966
crossref_primary_10_2166_nh_2025_068
crossref_primary_10_3390_nu17101735
crossref_primary_10_1016_j_clwas_2025_100299
crossref_primary_10_1016_j_rineng_2024_102488
crossref_primary_10_1016_j_jfca_2025_107644
crossref_primary_10_1080_09720510_2022_2130576
crossref_primary_10_1007_s10559_024_00704_4
crossref_primary_10_1108_JFMPC_08_2023_0055
crossref_primary_10_1007_s41315_024_00368_5
crossref_primary_10_1186_s12961_025_01361_5
crossref_primary_10_1007_s11227_025_07600_4
crossref_primary_10_1016_j_rineng_2024_103182
crossref_primary_10_1080_03949370_2024_2411506
crossref_primary_10_1016_j_chemosphere_2022_136931
crossref_primary_10_3390_a18050270
crossref_primary_10_1007_s10639_022_10933_9
crossref_primary_10_3390_agriculture15131433
crossref_primary_10_1080_03610918_2023_2213416
crossref_primary_10_1016_j_nexres_2025_100170
crossref_primary_10_1096_fj_202301520R
crossref_primary_10_1016_j_jjimei_2024_100312
crossref_primary_10_3390_educsci14060660
crossref_primary_10_3390_ani14071028
crossref_primary_10_1108_JSTP_09_2022_0203
crossref_primary_10_2196_45973
crossref_primary_10_3390_su17157117
crossref_primary_10_1016_j_eja_2022_126666
crossref_primary_10_1016_j_infsof_2025_107858
crossref_primary_10_1080_03610926_2025_2513390
crossref_primary_10_1016_j_cam_2023_115649
crossref_primary_10_1002_jbio_202400505
crossref_primary_10_1016_j_jss_2025_112471
crossref_primary_10_1002_suco_202400889
crossref_primary_10_1016_j_envc_2023_100828
crossref_primary_10_3390_insects16040379
crossref_primary_10_1007_s00704_023_04747_z
crossref_primary_10_1007_s10055_025_01132_1
crossref_primary_10_1007_s40899_025_01206_7
crossref_primary_10_2196_71613
crossref_primary_10_3390_ani14131872
crossref_primary_10_3390_soilsystems8040132
crossref_primary_10_1080_10447318_2024_2366016
crossref_primary_10_1038_s41598_023_47400_5
crossref_primary_10_1007_s12145_024_01607_w
crossref_primary_10_1016_j_ocecoaman_2024_107466
crossref_primary_10_1061_JCEMD4_COENG_16453
crossref_primary_10_3390_plants10102122
crossref_primary_10_3390_en15134514
crossref_primary_10_1080_23748834_2023_2298032
crossref_primary_10_1016_j_aichem_2023_100006
crossref_primary_10_1108_CI_03_2024_0064
Cites_doi 10.1081/SAC-100107788
10.1109/TCAD.2015.2511148
10.1016/j.jspi.2010.04.013
10.1029/2018JB016082
10.1007/BF01891203
10.21314/JEM.2018.178
10.1080/03610920601126217
10.1109/TR.2013.2257055
10.1080/00224065.1995.11979578
10.1080/00221686.2018.1509384
10.1016/j.jspi.2012.06.022
10.1007/s12205-017-1473-1
10.1080/10629360500282148
10.1214/aoms/1177729437
10.1016/j.frl.2013.01.001
10.1016/j.cie.2015.05.003
10.1080/18128602.2012.745099
10.1093/biomet/52.3-4.591
10.1109/TCSI.2017.2762431
10.1007/s10824-010-9123-1
10.1080/02664760802443988
10.1109/TMAG.2012.2197815
10.1007/s12541-013-0109-8
10.1007/s12517-018-4038-9
10.29312/remexca.v7i1.369
10.1093/bioinformatics/btx637
10.1016/j.irfa.2014.11.014
10.1080/1351847X.2012.696073
10.1016/j.jspi.2006.04.012
10.1080/1351847X.2012.720269
ContentType Journal Article
Copyright 2019 Informa UK Limited, trading as Taylor & Francis Group 2019
2019 Informa UK Limited, trading as Taylor & Francis Group
Copyright_xml – notice: 2019 Informa UK Limited, trading as Taylor & Francis Group 2019
– notice: 2019 Informa UK Limited, trading as Taylor & Francis Group
DBID AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1080/00949655.2019.1658763
DatabaseName CrossRef
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList
Computer and Information Systems Abstracts
DeliveryMethod fulltext_linktorsrc
Discipline Statistics
Mathematics
Computer Science
EISSN 1563-5163
EndPage 3272
ExternalDocumentID 10_1080_00949655_2019_1658763
1658763
Genre Article
GroupedDBID .7F
.QJ
0BK
0R~
29L
30N
4.4
5GY
5VS
8VB
AAENE
AAGDL
AAHIA
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABHAV
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGEJ
ACGFS
ACGOD
ACTIO
ADCVX
ADGTB
ADXPE
AEISY
AENEX
AEOZL
AEPSL
AEYOC
AFKVX
AFRVT
AGDLA
AGMYJ
AHDZW
AIJEM
AIYEW
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AQTUD
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
DU5
EBS
EJD
E~A
E~B
F5P
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
LJTGL
M4Z
MS~
NA5
NY~
O9-
P2P
PQQKQ
QWB
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TASJS
TBQAZ
TDBHL
TEJ
TFL
TFT
TFW
TN5
TOXWX
TTHFI
TUROJ
TWF
UPT
UT5
UU3
YQT
ZGOLN
ZL0
~S~
AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
ID FETCH-LOGICAL-c338t-1ed4f9ff355e24746f16226e00f3644f4e45929b41bb8912c3d6efe34f60f2b33
IEDL.DBID TFW
ISICitedReferencesCount 113
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000484012500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0094-9655
IngestDate Sun Oct 05 00:16:40 EDT 2025
Sat Nov 29 06:27:57 EST 2025
Tue Nov 18 21:56:08 EST 2025
Mon Oct 20 23:48:44 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 17
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c338t-1ed4f9ff355e24746f16226e00f3644f4e45929b41bb8912c3d6efe34f60f2b33
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0003-4271-694X
0000-0002-3086-0605
PQID 2292447432
PQPubID 53118
PageCount 15
ParticipantIDs informaworld_taylorfrancis_310_1080_00949655_2019_1658763
proquest_journals_2292447432
crossref_citationtrail_10_1080_00949655_2019_1658763
crossref_primary_10_1080_00949655_2019_1658763
PublicationCentury 2000
PublicationDate 2019-11-22
PublicationDateYYYYMMDD 2019-11-22
PublicationDate_xml – month: 11
  year: 2019
  text: 2019-11-22
  day: 22
PublicationDecade 2010
PublicationPlace Abingdon
PublicationPlace_xml – name: Abingdon
PublicationTitle Journal of statistical computation and simulation
PublicationYear 2019
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References Eling M (CIT0023) 2010; 6
CIT0030
CIT0010
CIT0032
CIT0031
CIT0012
CIT0034
CIT0011
CIT0033
Azzalini A. (CIT0027) 1986; 46
Anděl J (CIT0029) 1984; 20
CIT0014
CIT0036
CIT0013
CIT0035
CIT0016
CIT0015
CIT0037
CIT0039
CIT0019
Villaseñor J (CIT0038)
CIT0041
CIT0040
CIT0021
CIT0020
CIT0022
Azzalini A. (CIT0001) 1985; 12
CIT0003
CIT0025
CIT0002
CIT0004
Henze N. (CIT0028) 1986; 13
CIT0006
CIT0009
Mancera-Rico A (CIT0044) 2016; 7
CIT0008
References_xml – ident: CIT0034
  doi: 10.1081/SAC-100107788
– ident: CIT0004
  doi: 10.1109/TCAD.2015.2511148
– ident: CIT0030
  doi: 10.1016/j.jspi.2010.04.013
– ident: CIT0013
  doi: 10.1029/2018JB016082
– ident: CIT0040
  doi: 10.1007/BF01891203
– ident: CIT0002
  doi: 10.21314/JEM.2018.178
– ident: CIT0035
  doi: 10.1080/03610920601126217
– volume: 20
  start-page: 89
  issue: 2
  year: 1984
  ident: CIT0029
  publication-title: Kybernetika
– volume: 12
  start-page: 171
  issue: 2
  year: 1985
  ident: CIT0001
  publication-title: Scand J Stat
– ident: CIT0015
  doi: 10.1109/TR.2013.2257055
– ident: CIT0036
  doi: 10.1080/00224065.1995.11979578
– ident: CIT0008
  doi: 10.1080/00221686.2018.1509384
– ident: CIT0037
  doi: 10.1016/j.jspi.2012.06.022
– ident: CIT0014
  doi: 10.1007/s12205-017-1473-1
– ident: CIT0032
  doi: 10.1080/10629360500282148
– ident: CIT0038
  publication-title: Sankhya B
– ident: CIT0041
  doi: 10.1214/aoms/1177729437
– volume: 6
  start-page: 290
  issue: 4
  year: 2010
  ident: CIT0023
  publication-title: Int J Manage Finance
– ident: CIT0022
  doi: 10.1016/j.frl.2013.01.001
– ident: CIT0009
  doi: 10.1016/j.cie.2015.05.003
– ident: CIT0010
  doi: 10.1080/18128602.2012.745099
– ident: CIT0039
  doi: 10.1093/biomet/52.3-4.591
– volume: 46
  start-page: 199
  year: 1986
  ident: CIT0027
  publication-title: Statistica
– ident: CIT0003
  doi: 10.1109/TCSI.2017.2762431
– ident: CIT0025
  doi: 10.1007/s10824-010-9123-1
– ident: CIT0031
  doi: 10.1080/02664760802443988
– ident: CIT0006
  doi: 10.1109/TMAG.2012.2197815
– ident: CIT0011
  doi: 10.1007/s12541-013-0109-8
– ident: CIT0012
  doi: 10.1007/s12517-018-4038-9
– volume: 7
  start-page: 45
  issue: 1
  year: 2016
  ident: CIT0044
  publication-title: Rev Mex Cienc Agrícolas
  doi: 10.29312/remexca.v7i1.369
– ident: CIT0016
  doi: 10.1093/bioinformatics/btx637
– ident: CIT0020
  doi: 10.1016/j.irfa.2014.11.014
– ident: CIT0021
  doi: 10.1080/1351847X.2012.696073
– ident: CIT0033
  doi: 10.1016/j.jspi.2006.04.012
– ident: CIT0019
  doi: 10.1080/1351847X.2012.720269
– volume: 13
  start-page: 271
  year: 1986
  ident: CIT0028
  publication-title: Scand J Stat
SSID ssj0001152
Score 2.5198624
Snippet A probability property that connects the skew normal (SN) distribution with the normal distribution is used for proposing a goodness-of-fit test for the...
SourceID proquest
crossref
informaworld
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 3258
SubjectTerms Anderson-Darling test
Computer simulation
Goodness of fit
Monte Carlo simulation
Normal distribution
Normality
normality test
Null hypothesis
Parameters
parametric bootstrap
Random variables
skew data sets
Skewed distributions
Statistical analysis
Statistical tests
tests of hypotheses
Title Shapiro-Wilk test for skew normal distributions based on data transformations
URI https://www.tandfonline.com/doi/abs/10.1080/00949655.2019.1658763
https://www.proquest.com/docview/2292447432
Volume 89
WOSCitedRecordID wos000484012500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAWR
  databaseName: Taylor and Francis Online Journals
  customDbUrl:
  eissn: 1563-5163
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001152
  issn: 0094-9655
  databaseCode: TFW
  dateStart: 19720101
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NS8NAEF2keKgHq1WxWmUPXlOT3U2aHEUsHmwRrNpbyMcsSktamqh_35lkU1pEetBjCLMkszszb5O3bxi7SiKV9BOwLUQbYKkIYpK8VVaQCvBklGq3_Hv-8tAfjfzJJHg0bMLc0CppD60roYgyV1NwR3FeM-KuiQ0XeK5LxKyg52ANxSDBLIyln0JzPHhd5WKn6rlDFhaZ1Gd4fhtlozptaJf-yNVlARq0_uHRD9i-QZ_8plouh2wHsjZr1Z0duAn0NtsbrtRc8zZrEiKtBJ2P2PDpLVq8L-fEtJ1yBKoFx8fn-RS-eEbvMeMpifGaPlo5pzqZ8nnGiYzKizWgjHeP2fPgbnx7b5meDFaCm9nCciBVOtAaYQoI1VeedjxEcGDbWiK00gqUi4grVk4c-4EjEpl6oEEq7dlaxFKesEY2z-CUcRGAlIBFlCQKdepHCG3S2LV1lPgO9N0OU_VchIkRLKe-GbPQWemaVt4MyZuh8WaH9VZmi0qxY5tBsD7RYVF-KtFVX5NQbrHt1qsiNMGfh0LgphZ9I8XZH4Y-Z026pHOPQnRZo1h-wAXbTT5xwpeX5TL_BtFQ94s
linkProvider Taylor & Francis
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT8MwDLZgIAEHHgPEeObAtdAmabceEWICse3CeNyiPhyBQB3aCvx97D6mIYQ4wDlylDqx_Tl1PgMcJ5FO2gm6DqENdHSEMVPeaidMJQYqSq1f_D2_67UHg87DQzj7FobLKjmHtiVRROGr2bj5MrouiTvlcrgw8H2uzApPPAqiZCXzsOBTrGX-_GH3fuqNvbLrDos4LFO_4vlpmi_x6Qt76TdvXYSg7tp_LH4dVisAKs7KE7MBc5g1Ya1u7iAqW2_CSn9K6DppwjKD0pLTeRP6N4_R69N4xMW2z4Kwai5o_WLyjB8i4w95ESnz8VattCaCQ2UqRpngelSRz2BlGt2C2-7F8PzSqdoyOAnls7njYaptaC0hFZS6rQPrBQTi0HWtInRlNWqfQFesvTjuhJ5MVBqgRaVt4FoZK7UNjWyU4Q4IGaJSSHGUWQpt2okI3aSx79oo6XjY9lug680wScVZzq0zXow3pTYttWlYm6bSZgtOpmKvJWnHbwLh7E6bvLgtsWVrE6N-kd2vj4Wp7H9ipKS8lnSj5O4fpj6Cpcthv2d6V4PrPVjmIX4GKeU-NPLxGx7AYvJOmz8-LM78J4r_-7U
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3BTtwwEB0Viio4QNkWAQXqA9fQxHaymyOirEDACqm05WYl8VhUi7KrTYDfZyZxViCEOJRzNJYznvE8J89vAPaLTBf9AsOA0AYGOsOcJW91kFqJicqsi5u_53_O-6PR4Po6vfRswsrTKvkM7VqhiGav5uSeWtcx4n4wGy5N4piJWelBRDWUkmQBPhJ0TjjIr4Z_55tx1DbdYZOAbbpLPK8N86w8PRMvfbFZNxVouPYOc_8Mqx5-isM2XtbhA5Y9WOtaOwif6T1YuZjLuVY9WGZI2io6f4GLXzfZ9N9swlTbsSCkWguavqjG-CBKfo9bYVmN1zfSqgQXSismpWA2qqifIGV6-hV-D4-vjk4C35QhKOg0WwcRWu1S5winoNR9nbgoIQiHYegUYSunUccEuXId5fkgjWShbIIOlXZJ6GSu1AYslpMSN0HIFJVCqqKsUejsICNsY_M4dFkxiLAfb4Hu1sIUXrGcG2fcmmgubNp607A3jffmFhzMzaatZMdbBunThTZ1863EtY1NjHrDdqeLCuOzvzJS0qmWfKPk9n8M_R0-Xf4cmvPT0dk3WOYnfAdSyh1YrGd3uAtLxT2t_WyvifhHjTL6Zw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Shapiro-Wilk+test+for+skew+normal+distributions+based+on+data+transformations&rft.jtitle=Journal+of+statistical+computation+and+simulation&rft.au=Gonz%C3%A1lez-Estrada%2C+Elizabeth&rft.au=Cosmes%2C+Waldenia&rft.date=2019-11-22&rft.pub=Taylor+%26+Francis&rft.issn=0094-9655&rft.eissn=1563-5163&rft.volume=89&rft.issue=17&rft.spage=3258&rft.epage=3272&rft_id=info:doi/10.1080%2F00949655.2019.1658763&rft.externalDocID=1658763
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0094-9655&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0094-9655&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0094-9655&client=summon