Prakasa Rao, B. L. S. (2004) Estimation of cusp in non regular nonlinear regression models Journal of Multivariate Analysis, 88 (2). pp. 243-251. ISSN 0047-259X
Full text not available from this repository.
Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00472...
Related URL: http://dx.doi.org/10.1016/S0047-259X(03)00102-7
Abstract
The asymptotic properties of the least squares estimator of the cusp in some nonlinear non regular regression models is investigated via the study of the weak convergence of the least squares process generalizing earlier results in Prakasa Rao (Statist. Probab. Lett. 3 (1985) 15).
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to Elsevier Science. |
Keywords: | Cusp; Least Squares Process; Nonlinear Regression; Nonregular Problem; Fractional Brownian Motion |
ID Code: | 37077 |
Deposited On: | 26 Apr 2011 12:46 |
Last Modified: | 26 Apr 2011 12:46 |
Repository Staff Only: item control page