Estimating the systematic error in measurements of multiple parameters
โ Scribed by V. N. Khramenkov; P. G. Shabanov
- Publisher
- Springer US
- Year
- 1990
- Tongue
- English
- Weight
- 219 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0543-1972
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๐ SIMILAR VOLUMES
For estimating the effects of a number of systematic errors on a data sample, one can generate Monte Carlo (MC) runs with systematic parameters varied and examine the change in the desired observed result. Two methods are often used. In the unisim method, 1 the systematic parameters are varied one a
This paper considers the nonparametric estimation of the densities of the latent variable and the error term in the standard measurement error model when two or more measurements are available. Using an identification result due to Kotlarski we propose a two-step nonparametric procedure for estimati