The following publications are possibly variants of this publication:
- Constructing unbiased prediction limits on future outcomes under parametric uncertainty of underlying models via pivotal quantity averaging approachNicholas A. Nechval, Gundars Berzins, S. Balina, I. Steinbuka, Konstantin N. Nechval. accs, 51(5):331-336, 2017. [doi]
- A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary StatisticsNicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval. accs, 57(3):234-257, June 2023. [doi]
- Intelligent Computational Approach to Constructing Adequate Statistical Decisions under Parametric Uncertainty of Applied Stochastic ModelsNicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval. csci 2022: 521-528 [doi]
- New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric UncertaintyNicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval. accs, 57(5):473-489, October 2023. [doi]
- Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying ModelsNicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval, Zhanna Tsaurkubule. accs, 55(5):469-489, 2021. [doi]
- Invariant Embedding Technique and Its Applications for Improvement or Optimization of Statistical DecisionsNicholas A. Nechval, Maris Purgailis, Gundars Berzinsh, Kaspars Cikste, Juris Krasts, Konstantin N. Nechval. asmta 2010: 306-320 [doi]
- A New Technique of Intelligent Constructing Unbiased Prediction Limits on Future Order Statistics Coming from an Inverse Gaussian Distribution under Parametric UncertaintyNicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval, Juris Krasts. accs, 53(3):223-235, 2019. [doi]