Dyuthi @ CUSAT >
e-SCHOLARSHIP >
Statistics >
Faculty >
Dr.N. Balakrishna >
Please use this identifier to cite or link to this item:
http://purl.org/purl/4725
|
Title: | Product autoregressive models for non-negative variables |
Authors: | Balakrishna, N Abraham, B |
Keywords: | Accept–reject algorithm Conditional least squares Ergodic sequences Gamma distribution Product models |
Issue Date: | 7-May-2012 |
Publisher: | Elsevier |
Abstract: | When variables in time series context are non-negative, such as for volatility, survival
time or wave heights, a multiplicative autoregressive model of the type Xt = Xα
t−1Vt ,
0 ≤ α < 1, t = 1, 2, . . . may give the preferred dependent structure. In this paper,
we study the properties of such models and propose methods for parameter estimation.
Explicit solutions of the model are obtained in the case of gamma marginal distribution |
Description: | Statistics and Probability Letters 82 (2012) 1530–1537 |
URI: | http://dyuthi.cusat.ac.in/purl/4725 |
Appears in Collections: | Dr.N. Balakrishna
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|