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Nicholas A. Nechval
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2020 – today
- 2023
- [j12]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics. Autom. Control. Comput. Sci. 57(3): 234-257 (2023) - [j11]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty. Autom. Control. Comput. Sci. 57(5): 473-489 (2023) - 2022
- [c26]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
Intelligent Computational Approach to Constructing Adequate Statistical Decisions under Parametric Uncertainty of Applied Stochastic Models. CSCI 2022: 521-528 - 2021
- [j10]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval, Zhanna Tsaurkubule:
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. 55(1): 66-84 (2021) - [j9]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval, Zhanna Tsaurkubule:
Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models. Autom. Control. Comput. Sci. 55(5): 469-489 (2021) - [c25]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
A New Unified Computational Method for Finding Confidence Intervals of Shortest Length and/or Equal Tails under Parametric Uncertainty. CSCI 2021: 533-539 - [c24]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
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. ICICT (1) 2021: 473-482 - 2020
- [j8]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
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. 54(3): 191-206 (2020)
2010 – 2019
- 2019
- [j7]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval, Juris Krasts:
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. 53(3): 223-235 (2019) - [j6]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
Intelligent Constructing Exact Statistical Prediction and Tolerance Limits on Future Random Quantities for Prognostics and Health Management of Complex Systems. Autom. Control. Comput. Sci. 53(6): 532-549 (2019) - [c23]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights. CoDIT 2019: 983-988 - [c22]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
A Novel Intelligent Technique for Product Acceptance Process Optimization on the Basis of Misclassification Probability in the Case of Log-Location-Scale Distributions. IEA/AIE 2019: 801-818 - 2018
- [j5]Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty. Autom. Control. Comput. Sci. 52(3): 184-197 (2018) - [j4]Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzins:
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. 52(6): 476-488 (2018) - [c21]Nicholas A. Nechval, Gundars Berzins, Vadims Danovics, Konstantin N. Nechval:
A New Technique for Education Process Optimization via the Dual Control Approach. CSEDU (2) 2018: 449-456 - 2017
- [j3]Nicholas A. Nechval, Gundars Berzins, S. Balina, I. Steinbuka, Konstantin N. Nechval:
Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach. Autom. Control. Comput. Sci. 51(5): 331-336 (2017) - [c20]Nicholas A. Nechval, Gundars Berzins, Vadims Danovics:
A New Dynamic Model for Anticipatory Adaptive Control of Airline Seat Reservation via Order Statistics of Cumulative Customer Demand. IEA/AIE (1) 2017: 359-370 - [c19]Nicholas A. Nechval, Gundars Berzins, Vadims Danovics:
Adaptive Planning in-Service Inspections of Fatigued Structures in Damage Tolerance Situations via Observations of Crack Growth Process. IEA/AIE (1) 2017: 426-432 - 2016
- [j2]Nicholas A. Nechval, Konstantin N. Nechval, S. P. Prisyazhnyuk, Vladimir F. Strelchonok:
Tolerance limits on order statistics in future samples coming from the Pareto distribution. Autom. Control. Comput. Sci. 50(6): 423-431 (2016) - 2014
- [c18]Nicholas A. Nechval, Konstantin N. Nechval, Vadim Danovich, Natalija Ribakova:
Statistical Techniques for Validation of Simulation and Analytic Stochastic Models. ASMTA 2014: 155-169 - 2013
- [c17]Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, Uldis Rozevskis:
Unbiased Simultaneous Prediction Limits on Observations in Future Samples. ASMTA 2013: 292-307 - [c16]Nicholas A. Nechval, Maris Purgailis, Uldis Rozevskis, Konstantin N. Nechval:
Adaptive Stochastic Airline Seat Inventory Control under Parametric Uncertainty. ASMTA 2013: 308-323 - [c15]Nicholas A. Nechval, Natalija Ribakova:
Solving the Problems of Inspection Planning under Parametric Uncertainty of Underlying Models. MIM 2013: 489-494 - 2012
- [c14]Nicholas A. Nechval, Maris Purgailis, Uldis Rozevskis, Inta Bruna, Konstantin N. Nechval:
Finding Prediction Limits for a Future Number of Failures in the Prescribed Time Interval under Parametric Uncertainty. ASMTA 2012: 286-301 - 2011
- [c13]Nicholas A. Nechval, Maris Purgailis, Uldis Rozevskis, Juris Krasts, Konstantin N. Nechval:
Technique of Statistical Validation of Rival Models for Fatigue Crack Growth Process and Its Identification. ASMTA 2011: 132-148 - [c12]Nicholas A. Nechval, Maris Purgailis, Konstantin N. Nechval:
Weibull Model for Dynamic Pricing in e-Business. I3E 2011: 292-304 - [c11]Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, Uldis Rozevskis:
Improvement of Inventory Control under Parametric Uncertainty and Constraints. ICANNGA (2) 2011: 136-146 - [r1]Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis:
Statistical Pattern Recognition Principles. International Encyclopedia of Statistical Science 2011: 1453-1457 - 2010
- [c10]Nicholas A. Nechval, Maris Purgailis, Gundars Berzins, Kaspars Cikste, Juris Krasts, Konstantin N. Nechval:
Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions. ASMTA 2010: 306-320 - [c9]Nicholas A. Nechval, Maris Purgailis, Kaspars Cikste, Gundars Berzins, Uldis Rozevskis, Konstantin N. Nechval:
Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment. ASMTA 2010: 321-338
2000 – 2009
- 2009
- [c8]Konstantin N. Nechval, Nicholas A. Nechval, Gundars Berzinsh, Maris Purgailis, Uldis Rozevskis, Vladimir F. Strelchonok:
Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures. ASMTA 2009: 354-369 - 2008
- [c7]Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzinsh, Maris Purgailis, Uldis Rozevskis:
Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures. ASMTA 2008: 114-127 - 2007
- [c6]Konstantin N. Nechval, Nicholas A. Nechval, Gundars Berzinsh, Vadim Danovich, Maris Purgailis:
Artificial Neural Network Based Prediction of Fatigue Crack Propagation. Artificial Intelligence and Pattern Recognition 2007: 423-430 - [c5]Konstantin N. Nechval, Nicholas A. Nechval, Gundars Berzinsh, Vadim Danovich, Maris Purgailis:
Recognition of Vibration Signal Changes for Real-Time Detection of Developing Cracks in Jet Engine Rotors. Artificial Intelligence and Pattern Recognition 2007: 431-434 - 2006
- [j1]Konstantin N. Nechval, Nicholas A. Nechval, Irina Bausova, Daina Skiltere, Vladimir F. Strelchonok:
Prediction of fatigue crack growth Process via Artificial Neural Network Technique. Int. J. Comput. 5(3): 21-32 (2006) - 2004
- [c4]Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, Kristine Rozite:
Identifying an Observable Process with One of Several Simulation Models via UMPI Test. ICINCO (3) 2004: 152-159 - [c3]Kristine Rozite, Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis:
Dynamic Booking Policy for Airline Seat Inventory Control. ICINCO (1) 2004: 314-317
1990 – 1999
- 1996
- [c2]Nicholas A. Nechval:
CFAR test using order statistics for target detection by radar with multiple resolution elements. Electronic Imaging: Nonlinear Image Processing 1996: 0000 - 1990
- [c1]Nicholas A. Nechval:
Sequential classification into m multivariate populations using the information based on small samples. VCIP 1990
Coauthor Index
aka: Gundars Berzinsh
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