Nicholas A. Nechval
According to our database1,
Nicholas A. Nechval
authored at least 36 papers
between 1990 and 2023.
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Bibliography
2023
New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty.
Autom. Control. Comput. Sci., October, 2023
A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics.
Autom. Control. Comput. Sci., June, 2023
2021
Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models.
Autom. Control. Comput. Sci., 2021
A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions.
Autom. Control. Comput. Sci., 2021
A New Simple Computational Method of Simultaneous Constructing and Comparing Confidence Intervals of Shortest Length and Equal Tails for Making Efficient Decisions Under Parametric Uncertainty.
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
2020
A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2020
2019
A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2019
Intelligent Constructing Exact Statistical Prediction and Tolerance Limits on Future Random Quantities for Prognostics and Health Management of Complex Systems.
Autom. Control. Comput. Sci., 2019
A Novel Intelligent Technique for Product Acceptance Process Optimization on the Basis of Misclassification Probability in the Case of Log-Location-Scale Distributions.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019
A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights.
Proceedings of the 6th International Conference on Control, 2019
2018
A New Technique for Intelligent Constructing Exact γ-content Tolerance Limits with Expected (1 - α)-confidence on Future Outcomes in the Weibull Case Using Complete or Type II Censored Data.
Autom. Control. Comput. Sci., 2018
Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty.
Autom. Control. Comput. Sci., 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
2017
Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach.
Autom. Control. Comput. Sci., 2017
Adaptive Planning in-Service Inspections of Fatigued Structures in Damage Tolerance Situations via Observations of Crack Growth Process.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
A New Dynamic Model for Anticipatory Adaptive Control of Airline Seat Reservation via Order Statistics of Cumulative Customer Demand.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
2016
Tolerance limits on order statistics in future samples coming from the Pareto distribution.
Autom. Control. Comput. Sci., 2016
2014
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2014
2013
Solving the Problems of Inspection Planning under Parametric Uncertainty of Underlying Models.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2013
Proceedings of the Analytical and Stochastic Modelling Techniques and Applications, 2013
2012
Finding Prediction Limits for a Future Number of Failures in the Prescribed Time Interval under Parametric Uncertainty.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2012
2011
Proceedings of the International Encyclopedia of Statistical Science, 2011
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
Proceedings of the Building the e-World Ecosystem, 2011
Technique of Statistical Validation of Rival Models for Fatigue Crack Growth Process and Its Identification.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2011
2010
Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010
Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2010
2009
Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2009
2008
Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures.
Proceedings of the Analytical and Stochastic Modeling Techniques and Applications, 2008
2007
Recognition of Vibration Signal Changes for Real-Time Detection of Developing Cracks in Jet Engine Rotors.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
Artificial Neural Network Based Prediction of Fatigue Crack Propagation.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007
2004
Dynamic Booking Policy for Airline Seat Inventory Control.
Proceedings of the ICINCO 2004, 2004
Identifying an Observable Process with One of Several Simulation Models via UMPI Test.
Proceedings of the ICINCO 2004, 2004
1996
CFAR test using order statistics for target detection by radar with multiple resolution elements.
Proceedings of the Nonlinear Image Processing VII, 1996
1990
Sequential classification into m multivariate populations using the information based on small samples.
Proceedings of the Visual Communications and Image Processing '90: Fifth in a Series, 1990