Identifying an Observable Process with One of Several Simulation Models via UMPI Test. - Nicholas A. Nechval; Konstantin N. Nechval; Edgars K. Vasermanis; Kristine Rozite (ICINCO (3), 2004)

Dynamic Booking Policy for Airline Seat Inventory Control. - Kristine Rozite; Nicholas A. Nechval; Konstantin N. Nechval; Edgars K. Vasermanis (ICINCO (1), 2004)

Prediction of fatigue crack growth Process via Artificial Neural Network Technique. - Konstantin N. Nechval; Nicholas A. Nechval; Irina Bausova; Daina Skiltere; Vladimir F. Strelchonok (Int. J. Comput., 2006)

Artificial Neural Network Based Prediction of Fatigue Crack Propagation. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Vadim Danovich; Maris Purgailis (Artificial Intelligence and Pattern Recognition, 2007)

Recognition of Vibration Signal Changes for Real-Time Detection of Developing Cracks in Jet Engine Rotors. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Vadim Danovich; Maris Purgailis (Artificial Intelligence and Pattern Recognition, 2007)

Stochastic Fatigue Models for Efficient Planning Inspections in Service of Aircraft Structures. - Nicholas A. Nechval; Konstantin N. Nechval; Gundars Berzinsh; Maris Purgailis; Uldis Rozevskis (ASMTA, 2008)

Optimal Adaptive Inspection Planning Process in Service of Fatigued Aircraft Structures. - Konstantin N. Nechval; Nicholas A. Nechval; Gundars Berzinsh; Maris Purgailis; Uldis Rozevskis; Vladimir F. Strelchonok (ASMTA, 2009)

Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions. - Nicholas A. Nechval; Maris Purgailis; Gundars Berzins; Kaspars Cikste; Juris Krasts; Konstantin N. Nechval (ASMTA, 2010)

Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment. - Nicholas A. Nechval; Maris Purgailis; Kaspars Cikste; Gundars Berzins; Uldis Rozevskis; Konstantin N. Nechval (ASMTA, 2010)

Technique of Statistical Validation of Rival Models for Fatigue Crack Growth Process and Its Identification. - Nicholas A. Nechval; Maris Purgailis; Uldis Rozevskis; Juris Krasts; Konstantin N. Nechval (ASMTA, 2011)

Weibull Model for Dynamic Pricing in e-Business. - Nicholas A. Nechval; Maris Purgailis; Konstantin N. Nechval (I3E, 2011)

Improvement of Inventory Control under Parametric Uncertainty and Constraints. - Nicholas A. Nechval; Konstantin N. Nechval; Maris Purgailis; Uldis Rozevskis (ICANNGA (2), 2011)

Statistical Pattern Recognition Principles. - Nicholas A. Nechval; Konstantin N. Nechval; Maris Purgailis (International Encyclopedia of Statistical Science, 2011)

Finding Prediction Limits for a Future Number of Failures in the Prescribed Time Interval under Parametric Uncertainty. - Nicholas A. Nechval; Maris Purgailis; Uldis Rozevskis; Inta Bruna; Konstantin N. Nechval (ASMTA, 2012)

Unbiased Simultaneous Prediction Limits on Observations in Future Samples. - Nicholas A. Nechval; Konstantin N. Nechval; Maris Purgailis; Uldis Rozevskis (ASMTA, 2013)

Adaptive Stochastic Airline Seat Inventory Control under Parametric Uncertainty. - Nicholas A. Nechval; Maris Purgailis; Uldis Rozevskis; Konstantin N. Nechval (ASMTA, 2013)

Statistical Techniques for Validation of Simulation and Analytic Stochastic Models. - Nicholas A. Nechval; Konstantin N. Nechval; Vadim Danovich; Natalija Ribakova (ASMTA, 2014)

Tolerance limits on order statistics in future samples coming from the Pareto distribution. - Nicholas A. Nechval; Konstantin N. Nechval; S. P. Prisyazhnyuk; Vladimir F. Strelchonok (Autom. Control. Comput. Sci., 2016)

Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approach. - Nicholas A. Nechval; Gundars Berzins; S. Balina; I. Steinbuka; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2017)

A New Technique for Education Process Optimization via the Dual Control Approach. - Nicholas A. Nechval; Gundars Berzins; Vadims Danovics; Konstantin N. Nechval (CSEDU (2), 2018)

Intelligent Planning Reliability-Based Inspections of Fatigued Structures for the Crack Initiation Period in the Weibull Case under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 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. - Nicholas A. Nechval; Konstantin N. Nechval; Gundars Berzins (Autom. Control. Comput. Sci., 2018)

A New Intelligent Technique of Constructing Optimal Airline Seat Protection Levels for Multiple Nested Fare Classes of Single-Leg Flights. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CoDIT, 2019)

A Novel Intelligent Technique for Product Acceptance Process Optimization on the Basis of Misclassification Probability in the Case of Log-Location-Scale Distributions. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (IEA/AIE, 2019)

Intelligent Constructing Exact Statistical Prediction and Tolerance Limits on Future Random Quantities for Prognostics and Health Management of Complex Systems. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2019)

A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Juris Krasts (Autom. Control. Comput. Sci., 2019)

A New Technique of Invariant Statistical Embedding and Averaging Via Pivotal Quantities for Intelligent Constructing Efficient Statistical Decisions under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2020)

A New Unified Computational Method for Finding Confidence Intervals of Shortest Length and/or Equal Tails under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CSCI, 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. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (ICICT (1), 2021)

A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Zhanna Tsaurkubule (Autom. Control. Comput. Sci., 2021)

Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval; Zhanna Tsaurkubule (Autom. Control. Comput. Sci., 2021)

Intelligent Computational Approach to Constructing Adequate Statistical Decisions under Parametric Uncertainty of Applied Stochastic Models. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (CSCI, 2022)

A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2023)

New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty. - Nicholas A. Nechval; Gundars Berzins; Konstantin N. Nechval (Autom. Control. Comput. Sci., 2023)