In the literature, there are basically two kinds of resampling methods for least squares estimation in linear models; the E-type (the efficient ones like the classical bootstrap), which is more efficient when error variables are homogeneous, and the R-type (the robust ones like the jackknife), which
Relative efficiency of estimates and the use of Chebyshev polynomials in a model of pairwise overlapping samples
β Scribed by U. Kamps
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 466 KB
- Volume
- 127
- Category
- Article
- ISSN
- 0024-3795
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