Sven Knoth

Bild
Raum:
    1368
Telefon:
+49-40-6541-3400
Fax:
+49-40-6541-3638
Email:     [email protected]
Besucheranschrift
Helmut-Schmidt-Universität
Gebäude H1
Holstenhofweg 85
22043 Hamburg
Postanschrift
Helmut-Schmidt-Universität
Fakultät für WiSo
Rechnergestützte Statistik
Postfach 70 08 22
22008 Hamburg

 

Ausbildung

  • Studium der Mathematik an den TUs Chemnitz und Nowosibirsk von 1984 bis 1990
  • Promotion zum Dr. rer. nat., „Quasistationäre CUSUM-Verfahren bei Erlangverteilung“, TU Chemnitz, 1995
  • Habilitation im Fach Statistik und Ökonometrie, „Statistische Prozesskontrolle“, Europa-Universität Viadrina Frankfurt (Oder), 2003

Beruflicher Werdegang

  • Wissenschaftlicher Mitarbeiter an der Professur Statistik, Fakultät Mathematik, TU Chemnitz, 1990, 1991-1994
  • Wissenschaftlicher Mitarbeiter am Institut für Statistik in der Medizin, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, 1991, 1995-1996
  • Wissenschaftlicher Mitarbeiter bzw. wissenschaftlicher Assistent an der Professur Statistik, Wirtschaftswissenschaftliche Fakultät, Europa-Universität Viadrina Frankfurt (Oder), 1996-2004
  • Senior SPC Engineer am Advanced Mask Technology Center (AMTC) Dresden (Photomasken für die Halbleiterei), 2004-2009
  • Professor, seit April 2009 an der HSU

Publikationen seit 2016

  • Knoth, Saleh, Mahmoud, Woodall & Tercero-Gómez (2021)
    A Critique of a Variety of “Memory-Based”Process Monitoring Methods.
    Journal of Quality Technology, acceptedarXiv.
  • Knoth, Woodall & Tercero-Gómez (2021)
    The case against generally weighted moving average (GWMA) control charts.
    Quality Engineeringonline or arXiv.
  • Knoth (2021)
    Steady-State Average Run Length(s) — Methodology, Formulas and Numerics.
    Sequential Analysis 40(3), 405–426 or online.
  • Knoth, Tercero-Gómez, Khakifirooz & Woodall (2021)
    The Impracticality of Homogeneously Weighted Moving Average and Progressive Mean Control Chart Approaches.
    Quality and Reliability Engineering International 37(8), 3779–3794 or online.
  • Knoth (2021)
    On the Calculation of the ARL for Beta EWMA Control Charts.
    In Knoth & Schmid (eds.): Frontiers in Statistical Quality Control 13, 25-44 or online.
  • Morais, Knoth, Cruz & Weiß (2021)
    ARL-Unbiased CUSUM Schemes to Monitor Binomial Counts.
    In Knoth & Schmid (eds.): Frontiers in Statistical Quality Control 13, 77-98 or online.
  • Knoth (2021)
    Controlling the exponentially weighted moving average S² control chart false alarm behavior when the in-control variance level must be estimated.
    Applied Stochastic Models in Business and Industry 37(4), 725–743 or arXiv.
  • Ottenstreuer, Weiß & Knoth (2021)
    Control charts for monitoring a Poisson hidden Markov process.
    Quality and Reliability Engineering International 37(2), 484–501 or online.
  • Testik, Kara & Knoth (2020)
    An algorithmic approach to outlier detection and parameter estimation in phase I for designing phase II EWMA control chart.
    Computers & Industrial Engineering 144(106440), 1–14 or online.
  • Morais & Knoth (2020)
    Improving the ARL profile and the accuracy of its calculation for Poisson EWMA charts.
    Quality and Reliability Engineering International 36(3), 876–889 or online.
  • Gan, Yuen & Knoth (2020)
    Quicker detection risk-adjusted cumulative sum charting procedures.
    Statistics in Medicine 39(7), 875–889 or online.
  • Berlemann, Freese & Knoth (2020)
    Dating the Start of the U.S. House Price Bubble — An Application of Statistical Process Control.
    Empirical Economics 58(5), 2287–2307 or online.
  • Knoth, Wittenberg & Gan (2019)
    Risk-adjusted CUSUM charts under model error.
    Statistics in Medicine 38(12), 2206–2218 or online.
  • Paulino, Morais & Knoth (2019)
    On ARL-unbiased c-charts for INAR(1) Poisson counts.
    Statistical Papers 60(4), 1021–1038 or online.
  • Ottenstreuer, Weiß & Knoth (2019)
    A combined Shewhart-{CUSUM} chart with switching limit.
    Quality Engineering 31(2), 255–268 or online.
  • Morais, Knoth & Weiß (2018)
    An ARL-unbiased Thinning-based EWMA Chart to Monitor Counts.
    Sequential Analysis 37(4), 487–510 or online.
  • Knoth (2018)
    The Steady-State Behavior of Multivariate Exponentially Weighted Moving Average Control Charts.
    Sequential Analysis 37(4), 511–529 or arXiv.
  • Tran & Knoth (2018)
    Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables.
    Quality and Reliability Engineering International 34(3), 377–390 or online.
  • Wittenberg, Gan & Knoth (2018)
    A simple signaling rule for variable life-adjusted display derived from an equivalent risk-adjusted CUSUM chart. Statistics in Medicine 37(16), 2455–2473 or online.
  • Morais & Knoth (2018)
    On ARL-unbiased charts to monitor the traffic intensity of a single server queue.
    In Knoth & Schmid (eds.): Frontiers in Statistical Quality Control 12, 87–112 or online.
  • Knoth (2018)
    New results for two-sided CUSUM-Shewhart control charts.
    In Knoth & Schmid (eds.): Frontiers in Statistical Quality Control 12, 45–63 or online.
  • Knoth (2017)
    ARL Numerics for MEWMA Charts.
    Journal of Quality Technology 49(1), 78–89 or online.
  • Dasdemir, Weiß, Testik & Knoth (2016)
    Evaluation of Phase I analysis scenarios on Phase II performance of control charts for autocorrelated observations.
    Quality Engineering 28(3), 293–304 or online.
  • Fichte, Knoth, Potthast, Schaarschmidt, Sabath & Stiemer (2016)
    Application of generalized linear models to evaluate nuclear EMP tests.
    IEEE International Symposium on Electromagnetic Compatibility (EMC)online.
  • Paulino, Morais & Knoth (2016)
    An ARL-unbiased c-chart.
    Quality and Reliability Engineering International 32(8), 2847–2858 or online.
  • Knoth (2016)
    The case against the use of synthetic control charts.
    Journal of Quality Technology 48(2), 178–195 or online.

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HSU

Letzte Änderung: 4. Januar 2022