A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions-Reference-Cited by-同舟云学术

A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions

Published:2021-01 Issue:1 Volume:55 Page:66-84
ISSN:0146-4116
Container-title:Automatic Control and Computer Sciences
language:en
Short-container-title:Aut. Control Comp. Sci.

Author:

Nechval N. A.,Berzins G.,Nechval K. N.,Tsaurkubule Zh.

Publisher

Allerton Press

Subject

Signal Processing,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.3103/S0146411621010065.pdf

Reference19 articles.

1. Juola, R.C., More on shortest confidence intervals, Am. Stat., 1993, vol. 47, pp. 117–119.

2. Nechval, K.N., Nechval, N.A., Vasermanis, E.K., and Makeev, V.Y., Constructing shortest-length confidence intervals, Transp. Telecommun., 2002, vol. 3, pp. 95–103.

3. Ferentinos, K.K. and Karakostas, K.X., More on shortest and equal tails confidence intervals, Commun. Stat. – Theory Methods, 2006, vol. 35, pp. 821–829.

4. Excel 2010—Computer Software “Solver.”

5. Tate, R.F. and Klett, G.W., Optimum confidence intervals for the variance of a normal distribution, J. Am. Stat. Assoc., 1959, vol. 54, pp. 674–682.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel approach to the smart constructing adequate predictive or confidence decisions for applied mathematical models under parametric uncertainty via pivotal quantities and ancillary statistics;Aeronautics and Aerospace Open Access Journal;2024-04-11

2. New Applications of Computational Intelligence for Constructing Predictive or Optimal Statistical Decisions under Parametric Uncertainty;Automatic Control and Computer Sciences;2023-10

3. A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics;Automatic Control and Computer Sciences;2023-06

4. Intelligent Constructing Efficient Statistical Decisions via Pivot-Based Elimination of Unknown (Nuisance) Parameters from Underlying Models;Automatic Control and Computer Sciences;2021-09