Design of Sampling Plan for Exponential Distribution Under Neutrosophic Statistical Interval Method
The sampling plan using the classical statistics under the exponential distribution can be applied only when there are certainty and clearness and in observations and parameters. But, in practice, it is not necessary that under some circumstances all the observations/parameters are determined. So, w...
Saved in:
| Published in: | IEEE access Vol. 6; pp. 64153 - 64158 |
|---|---|
| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Piscataway
IEEE
2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 2169-3536, 2169-3536 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | The sampling plan using the classical statistics under the exponential distribution can be applied only when there are certainty and clearness and in observations and parameters. But, in practice, it is not necessary that under some circumstances all the observations/parameters are determined. So, we cannot analyze them using the classical statistics which provides results in the determined values. The neutrosophic statistics which is the generation of classical statistics can be applied to the analysis when parameters/observations are incomplete, indeterminate, and vague imprecise. In this paper, we will design originally a sampling plan for the exponential distribution under the neutrosophic interval statistical method. The neutrosophic plan parameters of the proposed plan will be determined through the neutrosophic non-linear problem. The tables for various values of risk are presented for the use in the industrial. An example from the automobiles manufacturing industry is given to explain for the exponential distribution under the neutrosophic interval statistical method. |
|---|---|
| AbstractList | The sampling plan using the classical statistics under the exponential distribution can be applied only when there are certainty and clearness and in observations and parameters. But, in practice, it is not necessary that under some circumstances all the observations/parameters are determined. So, we cannot analyze them using the classical statistics which provides results in the determined values. The neutrosophic statistics which is the generation of classical statistics can be applied to the analysis when parameters/observations are incomplete, indeterminate, and vague imprecise. In this paper, we will design originally a sampling plan for the exponential distribution under the neutrosophic interval statistical method. The neutrosophic plan parameters of the proposed plan will be determined through the neutrosophic non-linear problem. The tables for various values of risk are presented for the use in the industrial. An example from the automobiles manufacturing industry is given to explain for the exponential distribution under the neutrosophic interval statistical method. |
| Author | Aslam, Muhammad |
| Author_xml | – sequence: 1 givenname: Muhammad orcidid: 0000-0003-0644-1950 surname: Aslam fullname: Aslam, Muhammad email: aslam_ravian@hotmail.com organization: Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia |
| BookMark | eNqFUUtrGzEQFiGFpGl-QS4LPdvVYx_SMThuakiTgpuzmJVGjsxG2mrl0vz7yt0QSi8VDBqG7zHM956chhiQkCtGl4xR9el6tVpvt0tOmVxy2XWKixNyzlmrFqIR7elf_Rm5nKY9LU-WUdOdE3ODk9-FKrpqC8_j4MOu-jZAqFxM1frXWKxC9jBUN37KyfeH7GOoHoPFVN3jIac4xfHJm2qbIReINwW7CRnTz9J8xfwU7QfyzsEw4eXrf0EeP6-_r74s7h5uN6vru4WpqcyLtndWAkrGpDQKnRM1SKtYh8oB9FJSU8paiw1tGa_BoTNcAhjXYV9TcUE2s66NsNdj8s-QXnQEr_8MYtppSGXDATXSFmqgrm0sr0UPEmjDubKCSYpdI4rWx1lrTPHHAaes9_GQQllf87pplKCctwUlZpQpd5gSujdXRvUxHD2Ho4_h6NdwCkv9wzL-eL0YcgI__Id7NXM9Ir65yXIR0VLxGwPpoJE |
| CODEN | IAECCG |
| CitedBy_id | crossref_primary_10_1109_ACCESS_2019_2951019 crossref_primary_10_1109_ACCESS_2019_2906408 crossref_primary_10_1109_TR_2021_3125544 crossref_primary_10_3390_math7070631 crossref_primary_10_3390_sym11010080 crossref_primary_10_1007_s12647_021_00485_7 crossref_primary_10_1109_ACCESS_2019_2895162 crossref_primary_10_1109_ACCESS_2022_3207188 crossref_primary_10_1080_03610918_2019_1702212 crossref_primary_10_1109_ACCESS_2019_2920959 crossref_primary_10_3390_math7090870 crossref_primary_10_3233_JIFS_211232 crossref_primary_10_1007_s13198_019_00822_9 crossref_primary_10_1155_2019_8953051 crossref_primary_10_1007_s00500_023_09027_6 crossref_primary_10_1109_ACCESS_2020_2995998 crossref_primary_10_3390_sym11030330 crossref_primary_10_1007_s10479_023_05804_6 crossref_primary_10_1080_27684830_2024_2326706 crossref_primary_10_1108_IJCCSM_01_2019_0001 crossref_primary_10_1016_j_jksus_2020_02_003 crossref_primary_10_4018_IJeC_2020070103 crossref_primary_10_3390_app12126117 crossref_primary_10_3390_sym11020193 crossref_primary_10_1038_s41598_023_40445_6 crossref_primary_10_3390_biology11060857 crossref_primary_10_1007_s00704_020_03398_8 crossref_primary_10_1016_j_sciaf_2023_e01646 crossref_primary_10_1080_16583655_2019_1700675 crossref_primary_10_1109_ACCESS_2021_3062454 crossref_primary_10_1186_s12874_021_01387_7 crossref_primary_10_3390_f15111890 crossref_primary_10_1016_j_jksus_2020_06_008 crossref_primary_10_3233_JIFS_182849 crossref_primary_10_3390_pr7040209 crossref_primary_10_1038_s41598_024_55694_2 crossref_primary_10_1109_TR_2022_3195055 crossref_primary_10_1109_ACCESS_2024_3504744 crossref_primary_10_1007_s40747_018_0088_6 crossref_primary_10_32604_cmes_2023_022961 crossref_primary_10_3389_fnut_2022_859637 crossref_primary_10_3390_ijerph19095308 crossref_primary_10_1038_s41598_021_87136_8 crossref_primary_10_1109_ACCESS_2019_2909568 crossref_primary_10_3390_sym11010114 crossref_primary_10_1080_01966324_2023_2226337 crossref_primary_10_3390_sym10120754 |
| Cites_doi | 10.1080/00949650008812019 10.1080/09720510.2013.777571 10.1299/jamdsm.2017jamdsm0004 10.9756/BIJDM.1343 10.1080/02664760120011644 10.1007/s00170-014-6174-z 10.1016/j.csda.2014.10.002 10.1108/02635570710758761 10.1080/03610926.2014.1002936 10.1080/03610910903350508 10.3390/sym10050132 10.1080/18756891.2012.670518 10.1016/0165-0114(90)90040-D 10.3390/sym10090403 10.3233/IFS-120684 10.1016/j.ins.2009.01.019 10.3233/JIFS-161912 10.17713/ajs.v40i3.208 10.1080/10170669.2012.717542 10.1515/EQC.2005.277 10.1109/IFSA-SCIS.2017.8023269 10.1155/2016/5862071 10.1080/03610926.2017.1309435 10.1080/00224065.1976.11980743 10.1515/eqc-2015-0005 10.1016/j.apm.2017.10.027 10.1136/qshc.2004.011650 10.1007/s40815-017-0343-9 10.1007/s00158-010-0579-6 10.3390/sym9100208 10.3390/sym9070123 10.1080/03610918.2015.1037593 10.1016/j.ins.2007.09.028 10.1515/EQC.2009.75 10.1520/JTE20140429 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| DBID | 97E ESBDL RIA RIE AAYXX CITATION 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D DOA |
| DOI | 10.1109/ACCESS.2018.2877923 |
| DatabaseName | IEEE Xplore (IEEE) IEEE Xplore Open Access Journals IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts METADEX Technology Research Database Materials Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Materials Research Database Engineered Materials Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace METADEX Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Materials Research Database |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Statistics |
| EISSN | 2169-3536 |
| EndPage | 64158 |
| ExternalDocumentID | oai_doaj_org_article_e06a4a0f65d243ba8a05229d3180e753 10_1109_ACCESS_2018_2877923 8506360 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: King Abdulaziz University grantid: 130-261-D1439 funderid: 10.13039/501100004054 |
| GroupedDBID | 0R~ 4.4 5VS 6IK 97E AAJGR ABAZT ABVLG ACGFS ADBBV AGSQL ALMA_UNASSIGNED_HOLDINGS BCNDV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD ESBDL GROUPED_DOAJ IPLJI JAVBF KQ8 M43 M~E O9- OCL OK1 RIA RIE RNS AAYXX CITATION 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D RIG |
| ID | FETCH-LOGICAL-c408t-6bfd8ae81188c9eff34a8d917e9faab880c880ddde506124afefc28aacf7eb403 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 55 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000451525100001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2169-3536 |
| IngestDate | Fri Oct 03 12:24:50 EDT 2025 Sun Jun 29 16:52:05 EDT 2025 Tue Nov 18 21:48:01 EST 2025 Sat Nov 29 03:33:28 EST 2025 Wed Aug 27 02:51:59 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/OAPA.html |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c408t-6bfd8ae81188c9eff34a8d917e9faab880c880ddde506124afefc28aacf7eb403 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-0644-1950 |
| OpenAccessLink | https://doaj.org/article/e06a4a0f65d243ba8a05229d3180e753 |
| PQID | 2455930226 |
| PQPubID | 4845423 |
| PageCount | 6 |
| ParticipantIDs | proquest_journals_2455930226 doaj_primary_oai_doaj_org_article_e06a4a0f65d243ba8a05229d3180e753 crossref_primary_10_1109_ACCESS_2018_2877923 crossref_citationtrail_10_1109_ACCESS_2018_2877923 ieee_primary_8506360 |
| PublicationCentury | 2000 |
| PublicationDate | 20180000 2018-00-00 20180101 2018-01-01 |
| PublicationDateYYYYMMDD | 2018-01-01 |
| PublicationDate_xml | – year: 2018 text: 20180000 |
| PublicationDecade | 2010 |
| PublicationPlace | Piscataway |
| PublicationPlace_xml | – name: Piscataway |
| PublicationTitle | IEEE access |
| PublicationTitleAbbrev | Access |
| PublicationYear | 2018 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref35 ref13 ref34 ref12 ref15 ref36 ref14 venkateh (ref32) 2014; 6 ref11 ref10 ref2 ref1 ref17 ref38 ref16 smarandache (ref39) 2014 ref19 divya (ref30) 2012; 1 gildeh (ref29) 2011; 8 ref23 ref26 ref25 ref20 ref42 tamaki (ref24) 1991; 3 ref41 ref22 jamkhaneh (ref33) 2013; 25 ref21 ref43 balamurali (ref18) 2012; 2 ref28 ref27 jamkhaneh (ref31) 2012; 16 ref8 ref7 ref9 ref3 ref6 ref5 elango (ref37) 2017; 117 ref40 rao (ref4) 2009; 3 |
| References_xml | – ident: ref13 doi: 10.1080/00949650008812019 – ident: ref16 doi: 10.1080/09720510.2013.777571 – volume: 3 start-page: 211 year: 1991 ident: ref24 article-title: A fuzzy design of sampling inspection plans by attributes publication-title: J Jpn Soc Fuzzy Theory Syst – ident: ref10 doi: 10.1299/jamdsm.2017jamdsm0004 – volume: 2 start-page: 12 year: 2012 ident: ref18 article-title: Conditional variables double sampling plan for weibull distributed lifetimes under sudden death testing publication-title: Bonfring International Journal on Data Mining doi: 10.9756/BIJDM.1343 – ident: ref2 doi: 10.1080/02664760120011644 – ident: ref6 doi: 10.1007/s00170-014-6174-z – ident: ref19 doi: 10.1016/j.csda.2014.10.002 – ident: ref26 doi: 10.1108/02635570710758761 – ident: ref1 doi: 10.1080/03610926.2014.1002936 – ident: ref22 doi: 10.1080/03610910903350508 – ident: ref42 doi: 10.3390/sym10050132 – volume: 8 start-page: 47 year: 2011 ident: ref29 article-title: Acceptance single sampling plan with fuzzy parameter publication-title: Iranian J Fuzzy Syst – volume: 16 start-page: 1578 year: 2012 ident: ref31 article-title: Acceptance double sampling plan using fuzzy poisson distribution publication-title: World Appl Sci J – ident: ref25 doi: 10.1080/18756891.2012.670518 – ident: ref23 doi: 10.1016/0165-0114(90)90040-D – ident: ref43 doi: 10.3390/sym10090403 – volume: 25 start-page: 785 year: 2013 ident: ref33 article-title: Sequential sampling plan using fuzzy SPRT publication-title: J Intell Fuzzy Syst doi: 10.3233/IFS-120684 – year: 2014 ident: ref39 publication-title: Introduction to Neutrosophic Statistics Infinite Study – ident: ref28 doi: 10.1016/j.ins.2009.01.019 – ident: ref38 doi: 10.3233/JIFS-161912 – volume: 117 start-page: 1 year: 2017 ident: ref37 article-title: A fuzzy mathematical analysis for the effect of TRH using acceptance sampling plans publication-title: Int J Pure Appl Math – ident: ref9 doi: 10.17713/ajs.v40i3.208 – ident: ref17 doi: 10.1080/10170669.2012.717542 – volume: 3 start-page: 2745 year: 2009 ident: ref4 article-title: Reliability test plans for Marshall-Olkin extended exponential distribution publication-title: Appl Math Sci – ident: ref3 doi: 10.1515/EQC.2005.277 – volume: 6 start-page: 119 year: 2014 ident: ref32 article-title: Acceptance sampling for the influence of TRH using crisp and fuzzy gamma distribution publication-title: Aryabhatta Journal of Mathematics and Informatics – ident: ref35 doi: 10.1109/IFSA-SCIS.2017.8023269 – ident: ref8 doi: 10.1155/2016/5862071 – ident: ref11 doi: 10.1080/03610926.2017.1309435 – ident: ref12 doi: 10.1080/00224065.1976.11980743 – ident: ref21 doi: 10.1515/eqc-2015-0005 – volume: 1 start-page: 115 year: 2012 ident: ref30 article-title: Quality interval acceptance single sampling plan with fuzzy parameter using poisson distribution publication-title: Int J Adv Res Technol – ident: ref15 doi: 10.1016/j.apm.2017.10.027 – ident: ref14 doi: 10.1136/qshc.2004.011650 – ident: ref36 doi: 10.1007/s40815-017-0343-9 – ident: ref34 doi: 10.1007/s00158-010-0579-6 – ident: ref40 doi: 10.3390/sym9100208 – ident: ref41 doi: 10.3390/sym9070123 – ident: ref20 doi: 10.1080/03610918.2015.1037593 – ident: ref27 doi: 10.1016/j.ins.2007.09.028 – ident: ref5 doi: 10.1515/EQC.2009.75 – ident: ref7 doi: 10.1520/JTE20140429 |
| SSID | ssj0000816957 |
| Score | 2.3800483 |
| Snippet | The sampling plan using the classical statistics under the exponential distribution can be applied only when there are certainty and clearness and in... |
| SourceID | doaj proquest crossref ieee |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 64153 |
| SubjectTerms | Automobiles consumer’s risk Exponential distribution Fuzzy environment Inspection Manufacturing industries neutrosophic method neutrosophic parameters Optimization Parameters Probability distribution functions producer’s risk Sampling Statistical analysis Statistical methods Statistics Testing |
| SummonAdditionalLinks | – databaseName: IEEE Electronic Library (IEL) dbid: RIE link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwEB6VigMcoFAQ2wfygWPTehMnsY9l24oDrJB4qDdr1h4jpGq3WnYRP58Zx41AICQOkaLItux8fszY4-8DeBVSb5sm8khj27UyaEPl-uSqLk6F3wxdk0_wP7_t53N7fe3e78DJeBeGiHLwGZ3Kaz7Lj6uwla2yM2FXazp20O_1fT_c1Rr3U0RAwrV9IRaaand2PptxGyR6y56yXyBEeb8tPpmjv4iq_DET5-Xl6vH_VWwPHhUzUp0PuD-BHVo-hYe_kAvuQ7jIwRlqldQHlLjx5RclEkWKzVR1-eN2tZRAIS7kQrhzi-yVyjpIak7bzTorHHwNSuzRTOfMafMGIndO9S4rTz-DT1eXH2dvqiKpUAWj7abqFilaJMtuhQ2OUmoYnsguG7mEuODBHPiJPOe1YvsYTJRCbREZU1oY3TyH3SXX7wUo47SLpmWPhMggGYfYBYem7jtn2jidQH33r30ofOMie3Hjs9-hnR8A8gKQLwBN4GTMdDvQbfw7-WsBcUwqXNn5A6Pjy9DzpDs0qFPXxto0C7So2eh0kWczTeytTWBfEB0LKWBO4OiuS_gyrr_5mhvsGrZ7uoO_5zqEB1LBYZPmCHY36y0dw_3wnYFav8xd9ie7P-p3 priority: 102 providerName: IEEE |
| Title | Design of Sampling Plan for Exponential Distribution Under Neutrosophic Statistical Interval Method |
| URI | https://ieeexplore.ieee.org/document/8506360 https://www.proquest.com/docview/2455930226 https://doaj.org/article/e06a4a0f65d243ba8a05229d3180e753 |
| Volume | 6 |
| WOSCitedRecordID | wos000451525100001&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: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2169-3536 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816957 issn: 2169-3536 databaseCode: DOA dateStart: 20130101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2169-3536 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000816957 issn: 2169-3536 databaseCode: M~E dateStart: 20130101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELZQxYE9IKCstlAqHzgS6iaOYx9LH-JAKyQe6s2a-oGQUFuVFnHa374zjlsVIS0XDskhchJ7Zux8k0y-j7HXLja6qjzONMSuhQTtCtNEUyg_In4zMFX6gv_1Q7Nc6tXKfLyQ-qKasJYeuDXcMAgFEkRUtS9ltQYNAiGD8RiLIiDWptUXUc9FMpXWYD1Spm4yzdBImOF4MsERUS2XfotZAtHm_fEoSoz9WWLlr3U5PWzmT9jjjBL5uO3dU_YgbJ6xqwvuwC5z01R7wbeRfwIqC99846RAxBGF8tnv3XZDdUB4kSlR42ZVK55kjvgyHA_7JGDw3XGCm4mtGdum94MYe3yRhKWfsy_z2efJ-yIrJhROCn0o1Dp6DUFj1qCdCTFWaH2PGVkwEWCNc9Xh5nFJqwnaSIghulIDoMvCWorqmnU22L8bxqURxssaE44QJARpAJQzIMtGGVn7UY-VJ-NZl-nESdXih01phTC2tbgli9ts8R57cz5p17Jp3N_8HXnl3JSosNMBDBCbA8T-K0B6rEs-PV-EKPoqJXqsf_KxzdP2py1xwKZCWKNe_I9bv2SPaDjtG5s-6xz2x_CKPXS_0K37QYpY3C9uZ4P03-EdGbruzg |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3faxQxEB5KK2gfWrWK11bNg4_dNreb3U0e22tLxeshWKVvYS4_iiB35Xon_vmdyaaLYhF8WFiWJCT75cdMMvk-gA8utrqqPI00sl0LhdoVpo2maPyQ-c3QVOkE_9u4nUz09bX5vAYH_V2YEEIKPguH_JrO8v3crXir7IjZ1aqGHPSNWqly2N3W6ndUWELC1G2mFhpKc3Q8GlErOH5LH5JnwFR5fyw_iaU_y6r8NRenBeZ8-_-q9hy2siEpjjvkX8BamL2Ezd_oBXfAnabwDDGP4gty5PjsRrBIkSBDVZz9up3POFSICjll9twsfCWSEpKYhNVykTQOvjvBFmkidKa0aQuRuqe4TNrTr-Dr-dnV6KLIogqFU1Ivi2YavcagybHQzoQYKwLIk9MWTESc0nB29Hia9Wq2fhTGEF2pEQnVMFWyeg3rM6rfGxDKSONVTT5JCAqDMoiNM6jKtjGq9sMBlA__2rrMOM7CFz9s8jyksR1AlgGyGaABHPSZbjvCjX8nP2EQ-6TMlp0-EDo2Dz4bZIMKZWxqX6pqiholmZ3G03wmA_lrA9hhRPtCMpgD2H_oEjaP7DtbUoNNRZZPs_t4rvfw9OLqcmzHHyef9uAZV7bbstmH9eViFd7CE_eTQFu8S933Hg2b7b4 |
| 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=Design+of+Sampling+Plan+for+Exponential+Distribution+Under+Neutrosophic+Statistical+Interval+Method&rft.jtitle=IEEE+access&rft.au=Aslam%2C+Muhammad&rft.date=2018&rft.issn=2169-3536&rft.eissn=2169-3536&rft.volume=6&rft.spage=64153&rft.epage=64158&rft_id=info:doi/10.1109%2FACCESS.2018.2877923&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_ACCESS_2018_2877923 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon |