most citedImproved Pena-Rodriguez Portmanteau Test

41 citations · 174 across the 9 of their papers we have counts for

collaborators

9 papers

math.ST20166 cited

Fitting MA(q) Models in the Closed Invertible Region

Ying Zhang, A. Ian McLeod

The use of reparameterization in the maximization of the likelihood function of the MA(q) model is discussed. A general method for testing for the presence of a parameter estimate…

math.ST201626 cited

Power Computations for Intervention Analysis

A. Ian McLeod, Evelyn R. Vingilis

In many intervention analysis applications time series data may be expensive or otherwise difficult to collect. In this case the power function is helpful since it can be used to d…

math.ST201635 cited

Partial autocorrelation parameterization for subset autoregression

A. Ian McLeod, Ying Zhang

A new version of the partial autocorrelation plot and a new family of subset autoregressive models are introduced. A comprehensive approach to model identification, estimation and…

math.ST201621 cited

Portmanteau Tests for ARMA Models with Infinite Variance

Jen-Wen Lin, A. Ian McLeod

Autoregressive and moving-average (ARMA) models with stable Paretian errors is one of the most studied models for time series with infinite variance. Estimation methods for these m…

math.ST201641 cited

Improved Pena-Rodriguez Portmanteau Test

Jen-Wen Lin, A. Ian McLeod

Several problems with the diagnostic check suggested by Pena and Rodriguez [2002. A powerful portmanteau test of lack of fit for time series. J. Amer. Statist. Assoc. 97, 601-610.]…

math.ST201610 cited

Computer Algebra Derivation of the Bias of Burg Estimators

Ying Zhang, A. Ian McLeod

A symbolic method is discussed which can be used to obtain the asymptotic bias and variance to order for estimators in stationary time series. Using this method the bias t…