Dr. Nataliya Chukhrova

Forschungsschwerpunkte

Data Science
Industrial Statistics
Artificial Intelligence
Business Analytics
Soft Computing
Quantitative Risk Management
Computational Statistics
Statistical Inference

Fields of Application: Finance, Health, Industrial Engineering, Insurance, Operations Research

Revisionen und Einreichungen

• The effects of measurement errors on estimating and assessing the process yield with imprecise characteristic (with R. Afshari, A. Ahmadi Nadi, A. Johannssen & K. Phuc Tran). Computers and Industrial Engineering, 2022, revised & resubmitted.
• An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring (with S. A. Abbasi, A. Johannssen, F. Pourpanah, A. Shadman & A. Yeganeh). Expert Systems with Applications, 2022, revised & resubmitted.
• Employing machine learning techniques in monitoring autocorrelated profiles (with S. A. Abbasi, A. Johannssen & A. Yeganeh). Journal of Manufacturing Systems, 2022, submitted.
• Employing fuzzy hypothesis testing to improve modified p charts for monitoring the process fraction nonconforming (with A. Johannssen). Information Sciences, 2021, submitted.

Publikationen in referierten Fachzeitschriften

• A number-between-events control chart for monitoring finite horizon production processes (with P. Castagliola, G. Celano & A. Johannssen). Quality and Reliability Engineering International, 2022, 38(4), pp. 2110-2138.
• Two-tailed hypothesis testing for the median with fuzzy categories applied to the detection of health risks (with A. Johannssen). Expert Systems with Applications, 2022, 192, 116362.
• The performance of the hypergeometric np chart with estimated parameter (with P. Castagliola & A. Johannssen). European Journal of Operational Research, 2022, 296(3), pp. 873-899.
• Stochastic Claims Reserving Methods with State Space Representations: A Review (with A. Johannssen). Risks, 2021, 9(11), 198.
• Efficient algorithms for calculating the probability distribution of the sum of hypergeometric-distributed random variables (with P. Castagliola & A. Johannssen). MethodsX, 2021, 8, 101507.
• Generalized two-tailed hypothesis testing for quantiles applied to the psychosocial status during the COVID-19 pandemic (with A. Johannssen). International Journal of Intelligent Systems, 2021, 36(12), pp. 7412-7442.
• Kalman Filter Learning Algorithms and State Space Representations for Stochastic Claims Reserving (with A. Johannssen). Risks, 2021, 9(6), 112.
• Non-parametric Fuzzy Hypothesis Testing for Quantiles applied to Clinical Characteristics of COVID-19 (with A. Johannssen). International Journal of Intelligent Systems, 2021, 36(6), pp. 2922-2963.
• Fuzzy Hypothesis Testing: Systematic Review and Bibliography (with A. Johannssen). Applied Soft Computing, 2021, 106, 107331.
• Statistical Literacy - Misuse of Statistics and its Consequences (with A. Johannssen, F. Schmal & K. Stabenow). Journal of Statistics and Data Science Education, 2021, 29(1), pp. 54-62.
• Monitoring of High-Yield and Periodical Processes in Health Care (with A. Johannssen). Health Care Management Science, 2020, 23(4), pp. 619-639.
• Randomized vs. Non-Randomized Hypergeometric Hypothesis Testing with Crisp and Fuzzy Hypotheses (with A. Johannssen). Statistical Papers, 2020, 61(6), pp. 2605-2641.
• Fuzzy Hypothesis Testing for a Population Proportion based on set-valued Information (with A. Johannssen). Fuzzy Sets and Systems, 2020, 387, pp. 127-157.
• Generalized One-Tailed Hypergeometric Test with Applications in Statistical Quality Control (with A. Johannssen). Journal of Quality Technology, 2020, 52(1), pp. 14-39.
• Die Relevanz von Journal-Rankings im Fach Statistik an wirtschaftswissenschaftlichen Fakultäten aus Sicht zweier Nachwuchswissenschaftler (with A. Johannssen). AStA – Wirtschafts- und Sozialstatistisches Archiv, 2020, 14(1), pp. 99-102.
• Fuzzy Regression Analysis: Systematic Review and Bibliography (with A. Johannssen). Applied Soft Computing, 2019, 84, 105708.
  Hypergeometric p-Chart with Dynamic Probability Control Limits for Monitoring Processes with Variable Sample and Population Sizes (with A. Johannssen). Computers and Industrial Engineering, 2019, 136, pp. 681-701.
• Improved Control Charts for Fraction Non-Conforming Based on Hypergeometric Distribution (with A. Johannssen). Computers and Industrial Engineering, 2019, 128, pp. 795-806.
• Improved Binomial and Poisson Approximations to the Type-A Operating Characteristic Function (with A. Johannssen). International Journal of Quality & Reliability Management, 2019, 36(4), pp. 620-652.
• Inspection Tables for Single Acceptance Sampling with Crisp and Fuzzy Quality Limits (with A. Johannssen). International Journal of Quality & Reliability Management, 2018, 35(9), pp. 1755-1791.
• Robustifizierung des Chain-Ladder-Verfahrens über ein skalares Zustandsraummodell (with A. Johannssen). Zeitschrift für die gesamte Versicherungswissenschaft, 2018, 107(1), pp. 61-83.
• State Space Models and the Kalman Filter in Stochastic Claims Reserving: Forecasting, Filtering and Smoothing (with A. Johannssen). Risks, 2017, 5(2), 30.

Lehrerfahrung
Adaptive Verfahren der statistischen Inferenz
Angewandte Statistik für Fortgeschrittene
Einführung in das Textsatzsystem LaTeX
Lebensdaueranalyse und Zuverlässigkeit von Systemen
Mathematik für Wirtschaftswissenschaften I
Mathematik für Wirtschaftswissenschaften II
Mikroökonomie
Multivariate Statistik
Statistik für Betriebswirte I
Statistik für Betriebswirte II
Statistik mit SPSS
Statistische Qualitätskontrolle
Vorkurs Mathematik

Auszeichnungen
Hamburger Lehrpreis 2015: Auszeichnung aufgrund herausragender und innovativer Leistungen in der Hochschullehre
Jahrgangsbestenpreis 2011: Auszeichnungen der Fachbereiche BWL/VWL sowie der Haspa Hamburg Stiftung für das beste BWL-Diplom