Nicholas A. Nechval

Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzins, 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).

A New Technique for Vibration-Based Diagnostics of Fatigued Structures Based on Damage Pattern Recognition via Minimization of Misclassification Probability

Nicholas A. Nechval, Konstantin N. Nechval, 2018 .

Decision Making and Optimization for Inspection Planning under Parametric Uncertainty of Underlying Models

Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzins, 2013 .

Improved State Estimation of Stochastic Systems via a New Technique of Invariant Embedding

Nicholas A. Nechval, Maris Purgailis, 2010 .

Stochastic Decision Support Models and Optimal Stopping Rules in a New Product Lifetime Testing

Nicholas A. Nechval, Maris Purgailis, N. Nechval, 2010 .

Target recognition by maximizing heterogeneity of signal samples collected for discrimination with respect to an observed signal

Nicholas A. Nechval, 1995, Defense, Security, and Sensing.

Combining sensor information from automated visual inspection for quickest detection of disorders

Nicholas A. Nechval, 1994, Other Conferences.

UMPI test for adaptive signal detection

Nicholas A. Nechval, 1997, Defense, Security, and Sensing.

Applications of invariance to estimation of safety stock levels in inventory model

Nicholas A. Nechval, Konstantin N. Nechval, 1999 .

Planning Inspections in the Case of Damage Tolerance Approach to Service of Fatigued Aircraft Structures

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2011 .

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, Konstantin N. Nechval, Gundars Berzins, 2019, IEA/AIE.

Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2010, ASMTA.

Estimation of warranty period for structural components of aircraft

Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, 2004 .

Tolerance limits on order statistics in future samples coming from the Pareto distribution

Nicholas A. Nechval, Konstantin N. Nechval, S. P. Prisyazhnyuk, 2016, Automatic Control and Computer Sciences.

Finding Unbiased Simultaneous Prediction Limits for Order Statistics of Future Samples with Applications

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2013 .

Statistical Models For Prediction Of The Fatigue Crack Growth InAircraft Service

Nicholas A. Nechval, Edgars K. Vasermanis, K. N. Nechval, 2003 .

Discriminating a specified digital image from noise process

Nicholas A. Nechval, Konstantin N. Nechval, 1998, Optics & Photonics.

Recognition of the model order for data observed from Gaussian autoregressive process

Nicholas A. Nechval, 1995, Optics & Photonics.

Improved Planning In-Service Inspections of Fatigued Aircraft Structures Under Parametric Uncertainty of Underlying Lifetime Models

Nicholas A. Nechval, Konstantin N. Nechval, K. Nechval, 2015 .

Intelligent Technique of Constructing Exact Statistical Tolerance Limits to Predict Future Outcomes under Parametric Uncertainty for Prognostics and Health Management of Complex Systems

Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzins, 2019 .

Finding Prediction Limits for a Future Number of Failures in the Prescribed Time Interval under Parametric Uncertainty

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2012, ASMTA.

Adaptive CFAR Tests for Detection of a Signal in Noise and Deflection Criterion

Nicholas A. Nechval, 1997 .

Inspection policies in aircraft service

Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, 2004 .

Solving the Problems of Inspection Planning under Parametric Uncertainty of Underlying Models

Nicholas A. Nechval, Natalija Ribakova, N. Nechval, 2013, MIM.

Adaptive signal detection with distributed sensors

Nicholas A. Nechval, 1998, Defense, Security, and Sensing.

Technique of Constructing Predictive Inferences for Future Outcomes with Applications to Inventory Management Problems

Nicholas A. Nechval, Konstantin N. Nechval, K. Nechval, 2013 .

A New Technique for Optimization of Product Acceptance Process in Terms of Misclassification Probability

Nicholas A. Nechval, Konstantin N. Nechval, K. Nechval, 2018 .

Techniques for recognizing identity of several response functions from the data of visual inspection

Nicholas A. Nechval, 1996, Other Conferences.

Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical Decisions

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2010, ASMTA.

Improvement of Inventory Control under Parametric Uncertainty and Constraints

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2011, ICANNGA.

Weibull Model for Dynamic Pricing in e-Business

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2011, I3E.

A New Technique of Invariant Statistical Embedding and Averaging in Terms of Pivots for Improvement of Statistical Decisions Under Parametric Uncertainty

Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzinsh, 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, Konstantin N. Nechval, Gundars Berzins, 2021, ICICT.

A New Pivot-Based Approach to Constructing Prediction Limits and Shortest-Length or Equal Tails Confidence Intervals for Future Outcomes under Parametric Uncertainty

Nicholas A. Nechval, Konstantin N. Nechval, Gundars Berzins, 2021, Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).

Improved estimation of state of stochastic systems via invariant embedding technique

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2008 .

Improvement of Statistical Decisions under Parametric Uncertainty

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2011, WCE 2011.

OPTIMIZATION OF TARGET VALUE FOR AN INDUSTRIAL PROCESS

Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, .

Prediction of Future Values of Random Quantities Based on Previously Observed Data

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, .

Adaptive dual control in one biomedical problem

Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, 2003 .

Effective state estimation of stochastic systems

Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis, 2003 .

Selection of the Best Subset of Variables in Regression and Time Series Models

Nicholas A. Nechval, Konstantin N. Nechval, Maris Purgailis, 2010 .

Tolerance Limits on Order Statistics in Future Samples Coming from the Two-Parameter Exponential Distribution

Nicholas A. Nechval, Konstantin N. Nechval, K. Nechval, 2016 .