Mean and Variance Estimation by Kriging
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2004
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| _version_ | 1866912655100346368 |
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| author | Suslo, Tomasz |
| author_facet | Suslo, Tomasz |
| contents | The aim of the paper is to derive the numerical least-squares estimator for mean and variance of random variable. In order to do so the following questions have to be answered: (i) what is the statistical model for the estimation procedure? (ii) what are the properties of the estimator, like optimality (in which class) or asymptotic properties? (iii) how does the estimator work in practice, how compared to competing estimators? |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_cs_0409033 |
| institution | arXiv |
| publishDate | 2004 |
| record_format | arxiv |
| spellingShingle | Mean and Variance Estimation by Kriging Suslo, Tomasz Numerical Analysis Mathematical Software The aim of the paper is to derive the numerical least-squares estimator for mean and variance of random variable. In order to do so the following questions have to be answered: (i) what is the statistical model for the estimation procedure? (ii) what are the properties of the estimator, like optimality (in which class) or asymptotic properties? (iii) how does the estimator work in practice, how compared to competing estimators? |
| title | Mean and Variance Estimation by Kriging |
| topic | Numerical Analysis Mathematical Software |
| url | https://arxiv.org/abs/cs/0409033 |