goodness-of-fit test for normally distributed ar(1) disturbances of the multiple linear regression model
Authors
Yan Su, Ya-Ping Huang, Xia-Ying Su
Corresponding Author
Yan Su
Available Online January 2015.
- DOI
- 10.2991/iccset-14.2015.72How to use a DOI?
- Keywords
- Linear regression, Autoregressive disturbance, Residuals, AD test, Critical values.
- Abstract
We suggest the modified Anderson-Darling(AD) test procedures for testing normality of the AR(1) disturbances of the multiple linear regression model. The asymptotic null distribution of the transformed sample is obtained, and an algorithm is given to approximate the critical values of the test statistic for the finite sample size. The power of the test against various alternative distributions of the model disturbances is illustrated by Monte Carlo simulation.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Su AU - Ya-Ping Huang AU - Xia-Ying Su PY - 2015/01 DA - 2015/01 TI - goodness-of-fit test for normally distributed ar(1) disturbances of the multiple linear regression model BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 325 EP - 330 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.72 DO - 10.2991/iccset-14.2015.72 ID - Su2015/01 ER -