Bao, Yong; Ullah, Aman Expectation of quadratic forms in normal and nonnormal variables with applications. (English) Zbl 1181.62075 J. Stat. Plann. Inference 140, No. 5, 1193-1205 (2010). Summary: We derive some new results on the expectation of quadratic forms in normal and non-normal variables. Using a non-stochastic operator, we show that the expectation of the product of an arbitrary number of quadratic forms in noncentral normal variables follows a recurrence formula. This formula includes the existing result for central normal variables as a special case. For nonnormal variables, while the existing results are available only for quadratic forms of limited order (up to 3), we derive analytical results to a higher order 4. We use the nonnormal results to study the effects of nonnormality on the finite sample mean squared error of the OLS estimator in an AR(1) model and the QMLE in an MA(1) model. Cited in 16 Documents MSC: 62H10 Multivariate distribution of statistics 62M10 Time series, auto-correlation, regression, etc. in statistics (GARCH) 62H12 Estimation in multivariate analysis Keywords:expectation; quadratic form; nonnormality PDF BibTeX XML Cite \textit{Y. Bao} and \textit{A. Ullah}, J. Stat. Plann. Inference 140, No. 5, 1193--1205 (2010; Zbl 1181.62075) Full Text: DOI OpenURL References: [1] Bao, Y., The approximate moments of the least squares estimator for the stationary autoregressive model under a general error distribution, Econometric theory, 23, 1013-1021, (2007) · Zbl 1237.62110 [2] Bao, Y.; Ullah, A., Finite sample properties of maximum likelihood estimator in spatial models, Journal of econometrics, 137, 396-413, (2007) · Zbl 1360.62474 [3] Bao, Y.; Ullah, A., The second-order bias and Mean squared error of estimators in time series models, Journal of econometrics, 140, 650-669, (2007) · Zbl 1247.91148 [4] Chandra, R., 1983. 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