\(L\)-optimal designs for a trigonometric Fourier regression model with no intercept
DOI10.1134/S1063454122010095OpenAlexW4282035966MaRDI QIDQ2674728
Vyacheslav Borisovich Melas, Pëtr Valer'evich Shpilev
Publication date: 14 September 2022
Published in: Vestnik St. Petersburg University. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1063454122010095
\(L\)-optimal designs\(c\)-optimal designsoptimal designs for estimating individual coefficientstrigonometric regression models with no intercept
Linear inference, regression (62Jxx) Design of statistical experiments (62Kxx) Probabilistic methods, stochastic differential equations (65Cxx)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Robust \(T\)-optimal discriminating designs
- \(T\)-optimal designs for discrimination between two polynomial models
- Optimal designs for trigonometric regression models
- Further characterizations of design optimality and admissibility for partial parameter estimation in linear regression
- General equivalence theory for optimum designs (approximate theory)
- Bayesian D-optimal designs for exponential regression models
- \(T\)-optimal discriminating designs for Fourier regression models
- Bayesian optimal one point designs for one parameter nonlinear models
- Equivalence theorem for singular \(L\)-optimal designs
- Bayesian optimum designs for discriminating between models with any distribution
- Design selection criteria for discrimination/estimation for nested models and a binomial re\-sponse
- Robust Discrimination Designs
- The design of experiments for discriminating between two rival models
- T-Optimum Designs for Discrimination Between Two Multiresponse Dynamic Models
- Optimal Design of Experiments
- Applications of necessary and sufficient conditions for maximin efficient designs
This page was built for publication: \(L\)-optimal designs for a trigonometric Fourier regression model with no intercept
