h1

h2

h3

h4

h5
h6


001     983453
005     20251020081255.0
024 7 _ |2 ISSN
|a 0378-3758
024 7 _ |2 ISSN
|a 1873-1171
024 7 _ |2 SCOPUS
|a SCOPUS:2-s2.0-85184327970
024 7 _ |2 WOS
|a WOS:001182168000001
024 7 _ |2 doi
|a 10.1016/j.jspi.2024.106152
024 7 _ |2 datacite_doi
|a 10.18154/RWTH-2024-03439
037 _ _ |a RWTH-2024-03439
041 _ _ |a English
082 _ _ |a 310
100 1 _ |0 P:(DE-82)IDM00092
|a Kateri, Maria
|b 0
|e Corresponding author
|u rwth
245 _ _ |a Scale tests for a multilevel step-stress model with exponential lifetimes under Type-II censoring
|h online, print
260 _ _ |a Amsterdam
|b North-Holland Publ. Co.
|c 2024
300 _ _ |a [1]-16
336 7 _ |0 0
|2 EndNote
|a Journal Article
336 7 _ |0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
|a Journal Article
|b journal
|m journal
336 7 _ |2 BibTeX
|a ARTICLE
336 7 _ |2 DRIVER
|a article
336 7 _ |2 DataCite
|a Output Types/Journal article
336 7 _ |2 ORCID
|a JOURNAL_ARTICLE
536 _ _ |0 G:(DE-82)021000-OAPKF
|a OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)
|c 021000-OAPKF
|x 0
536 _ _ |0 G:(DE-82)BMBF-03XP0320A
|a BMBF 03XP0320A - BALd - Beschleunigte Alterungstests und Lebensdauerprognosen (BMBF-03XP0320A)
|c BMBF-03XP0320A
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: publications.rwth-aachen.de
591 _ _ |a Germany
700 1 _ |0 P:(DE-82)IDM05184
|a Nikolov, Nikolay Ivanchev
|b 1
|u rwth
773 _ _ |0 PERI:(DE-600)1468074-9
|a 10.1016/j.jspi.2024.106152
|p 106152
|t Journal of statistical planning and inference : JSPI
|v 232
|x 0378-3758
|y 2024
856 4 _ |u https://publications.rwth-aachen.de/record/983453/files/983453.pdf
|y OpenAccess
876 7 _ |8 E-2024-00952-e
|9 2024-10-15
|c 100
|d 2024-03-21
|e Other
|j DEAL
|l Elsevier
|v 7.00
|x 021000-116510
|z Servicepauschale
876 7 _ |8 E-2024-01982-c
|9 2025-07-23
|c 2270.80
|d 2024-03-21
|e Hybrid-OA
|j DEAL
|l Elsevier
|v 158.96
|x 021000-116510
909 C O |o oai:publications.rwth-aachen.de:983453
|p dnbdelivery
|p openCost
|p VDB
|p driver
|p OpenAPC_DEAL
|p open_access
|p openaire
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM00092
|a RWTH Aachen
|b 0
|k RWTH
910 1 _ |0 I:(DE-588b)36225-6
|6 P:(DE-82)IDM05184
|a RWTH Aachen
|b 1
|k RWTH
914 1 _ |y 2024
915 1 _ |0 StatID:(DE-HGF)0031
|2 StatID
|a Peer reviewed article
|x 0
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0300
|2 StatID
|a DBCoverage
|b Medline
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0600
|2 StatID
|a DBCoverage
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
|a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
|b J STAT PLAN INFER : 2022
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0113
|2 StatID
|a WoS
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)9900
|2 StatID
|a IF < 5
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0510
|2 StatID
|a OpenAccess
915 _ _ |0 StatID:(DE-HGF)0030
|2 StatID
|a Peer Review
|b ASC
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0160
|2 StatID
|a DBCoverage
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0200
|2 StatID
|a DBCoverage
|b SCOPUS
|d 2023-10-21
915 _ _ |0 StatID:(DE-HGF)0420
|2 StatID
|a Nationallizenz
|d 2023-10-21
|w ger
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 p c |0 PC:(DE-HGF)0000
|2 APC
|a APC keys set
915 p c |0 PC:(DE-HGF)0002
|2 APC
|a DFG OA Publikationskosten
915 p c |0 PC:(DE-HGF)0001
|2 APC
|a Local Funding
915 p c |0 PC:(DE-HGF)0125
|2 APC
|a DEAL: Elsevier 09/01/2023
920 1 _ |0 I:(DE-82)116510_20140620
|k 116510
|l Lehrstuhl für Statistik und Data Science
|x 0
920 1 _ |0 I:(DE-82)110000_20140620
|k 110000
|l Fachgruppe Mathematik
|x 1
980 1 _ |a FullTexts
980 _ _ |a APC
980 _ _ |a I:(DE-82)110000_20140620
980 _ _ |a I:(DE-82)116510_20140620
980 _ _ |a UNRESTRICTED
980 _ _ |a VDB
980 _ _ |a journal


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21