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

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

doi:10.1007/978-981-16-2377-6_44

Proceedings of Sixth International Congress on Information and Communication Technology

2021

DOI: 10.1007/978-981-16-2377-6_44

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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

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Cited by 5 publications

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Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics

Nechval,

Berzins,

Nechval

2024

AAOAJ

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The technique used here emphasizes pivotal quantities and ancillary statistics relevant for obtaining statistical predictive or confidence decisions for anticipated outcomes of applied stochastic models under parametric uncertainty and is applicable whenever the statistical problem is invariant under a group of transformations that acts transitively on the parameter space. It does not require the construction of any tables and is applicable whether the experimental data are complete or Type II censored. The proposed technique is based on a probability transformation and pivotal quantity averaging to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, medicine and biomedicine. It is conceptually simple and easy to use.

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Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics

Nechval,

Berzins,

Nechval

2024

AAOAJ

View full text Add to dashboard Cite

show abstract

A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics

Nechval

Berzins

Nechval

2023

Aut. Control Comp. Sci.

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New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty

Nicholas Nechval,

Berzins,

Nechval

2023

Aut. Control Comp. Sci.

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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

Cited by 5 publications

References 10 publications

Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics

Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics

A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics

New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty

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