In this paper, we consider the problem of approximating the location, x 0 # C, of a maximum of a regresion function, %(x), under certain weak assumptions on %. Here C is a bounded interval in R. A specific algorithm considered in this paper is as follows. Taking a random sample X 1 , ..., X n from
β¦ LIBER β¦
A characterization by linearity of the regression function based on order statistics
β Scribed by N. Balakrishnan; I.S. Akhundov
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 179 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
β¦ Synopsis
We consider an inΓΏnite sequence X 1 ; X 2 ; : : : of independent random variables having a common continuous distribution function F(x). For 1 6 i 6 n, let {X i:n } denote the ith order statistic among X 1 ; : : : ; X n . In this paper, we characterize the distributions for which the regression E((X
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