Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nirpeksh Kumar"'
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dc2948ffce32bacd8edc451a9fa1313
https://doi.org/10.1002/9781118445112.stat08409
https://doi.org/10.1002/9781118445112.stat08409
Publikováno v:
Journal of Statistical Computation and Simulation
Journal of Statistical Computation and Simulation, 2022, 92 (7), pp.1457-1486. ⟨10.1080/00949655.2021.1998501⟩
Journal of Statistical Computation and Simulation, 2022, 92 (7), pp.1457-1486. ⟨10.1080/00949655.2021.1998501⟩
International audience; In this paper, we study the performance properties of the phase II exponential chart with an unknown in-control (IC) rate parameter, used to monitor high-yield processes. The average time to signal (ATS) is used as the chart p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12af8721c4caa7b8546c00629641ba06
https://doi.org/10.1080/00949655.2021.1998501
https://doi.org/10.1080/00949655.2021.1998501
Autor:
Nirpeksh Kumar
Publikováno v:
Quality Technology & Quantitative Management. 19:1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a66bbd39f0e8bb4809404db69e9510f
https://doi.org/10.1080/16843703.2021.1972515
https://doi.org/10.1080/16843703.2021.1972515
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-13
Process capability index Cpm, sometimes called Taguchi index, is a widely used measure to assess the ability of a process to cluster around the target. In calculating Cpm, it is assumed that the pr...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9bf50ae0ebf8e14361040d6e5162e0
https://doi.org/10.1080/03610918.2021.1962344
https://doi.org/10.1080/03610918.2021.1962344
Autor:
Ranjeet Singh, Nirpeksh Kumar
Publikováno v:
Sequential Analysis. 39:399-416
Geometric charts have an important role in monitoring fraction nonconforming in high-yield processes where the rate of nonconforming is very low, say, parts per million. Currently, the average numb...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d105bcba1b68e8b451635c67c1b1b41
https://doi.org/10.1080/07474946.2020.1823194
https://doi.org/10.1080/07474946.2020.1823194
Autor:
Nirpeksh Kumar, Sonam Jaiswal
Publikováno v:
Quality and Reliability Engineering International. 36:2044-2056
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f5b3de51db41ee5d2ee8e3cad9cd8f2
https://doi.org/10.1002/qre.2672
https://doi.org/10.1002/qre.2672
Time between events (TBE) control charts play an important role in monitoring high-yield processes. In this article, Phase II Shewhart-type tr-charts, with various runs rules, are considered for monitoring TBE exponential data with a known rate param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e33a2d3a843309499ab3dee68e3c2583
Publikováno v:
Quality and Reliability Engineering International. 36:231-246
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4953573d3b279eae79db09b76fc2cc1
https://doi.org/10.1002/qre.2568
https://doi.org/10.1002/qre.2568
Autor:
Nirpeksh Kumar
Publikováno v:
Quality Technology & Quantitative Management. 17:285-306
It is now well known that the error in estimating parameter(s) adversely affects the performance of control charts. The charts with estimated control limits are usually assessed by some of characte...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5f59fdc219dac04fc408ad36a7e7c10
https://doi.org/10.1080/16843703.2019.1613772
https://doi.org/10.1080/16843703.2019.1613772
Autor:
Nirpeksh Kumar, Amita Baranwal
Publikováno v:
Quality and Reliability Engineering International. 35:1061-1080
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0134cbf2b64f910b0b969fe9b45881c
https://doi.org/10.1002/qre.2445
https://doi.org/10.1002/qre.2445