16 Design of spatial experiments: Model fitting and prediction-Reference-Cited by-同舟云学术

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16 Design of spatial experiments: Model fitting and prediction

Published:1996 Issue: Volume: Page:515-553
ISSN:0169-7161
Container-title:Handbook of Statistics
language:
Short-container-title:

Author:

Fedorov Valerii

Publisher

Elsevier

Reference94 articles.

1. Theory of Approximation;Achieser,1956

2. Optimum design of experiments;Atkinson,1988

3. Optimum Experimental Design;Atkinson,1992

4. Sampling designs for estimating integrals of stochastic process;Benhenni;Ann. Statist.,1992

5. Robustness of design against autocorrelation in time, I;Bickel;Ann. Statist.,1979

Cited by 10 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. A convex approach to optimum design of experiments with correlated observations;Electronic Journal of Statistics;2022-01-01

2. Statistical applications of optimization methods and mathematical programming;Proceedings of the International Conference on Applied Statistics;2019-10-01

3. Sensitivity analysis via Karhunen–Loève expansion of a random field model: Estimation of Sobol’ indices and experimental design;Reliability Engineering & System Safety;2019-07

4. Convex relaxation for IMSE optimal design in random-field models;Computational Statistics & Data Analysis;2017-09

5. Mercer Kernels and Integrated Variance Experimental Design: Connections Between Gaussian Process Regression and Polynomial Approximation;SIAM/ASA Journal on Uncertainty Quantification;2016-01

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