Marginally restricted D-optimal designs for correlated observations
From MaRDI portal
Publication:3532697
DOI10.1080/02664760801920556zbMath1147.62357OpenAlexW2011547161MaRDI QIDQ3532697
Milan Stehlík, Jesús López-Fidalgo, Raúl Martín Martín
Publication date: 28 October 2008
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760801920556
covariance structureexchange algorithmexact designdensification prodedurenuclear plantsradiation retention
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (4)
Design of experiments for zeroth and first-order reaction rates ⋮ Optimal designs for the Michaelis–Menten model with correlated observations ⋮ Optimal designs for some stochastic processes whose covariance is a function of the mean ⋮ Multiplicative algorithms for computing optimum designs
Cites Work
- Unnamed Item
- Spatial variation. 2nd ed
- On the design of experiments in the presence of fixed covariates
- Marginally restricted linear-optimal designs
- Spatial sampling design for parameter estimation of the covariance function
- Towards reconciling two asymptotic frameworks in spatial statistics
- Optimal designs for compartmental models with correlated observations
- Marginally Restricted D-Optimal Designs
- An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields
- Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processes
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Random Fields and Geometry
- Inconsistent Estimation and Asymptotically Equal Interpolations in Model-Based Geostatistics
- Space–Time Covariance Functions
This page was built for publication: Marginally restricted D-optimal designs for correlated observations