Abstract
Suppose that observations (x1,y1),...,(xn,yn) are sampled from a regression model y=f(t)+∈, where f is a nondecreasing function. Denote by f̂nthe estimate which is a nondecreasing function and minimizes Σi=1nyi- f(ti) over all nondecreasing functions f. This paper derives the limiting distribution of f̂nat a given point.
| Original language | English |
|---|---|
| Pages (from-to) | 281-287 |
| Number of pages | 7 |
| Journal | Journal of Statistical Planning and Inference |
| Volume | 107 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 1 Sept 2002 |
| Externally published | Yes |
Keywords
- Brownian motion
- Convex minorant
- Isotonic regression
- L estimator 1
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics