Expectation of quadratic forms in normal and nonnormal variables with applications
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[1] Rory A. Fisher,et al. Moments and Product Moments of Sampling Distributions , 1930 .
[2] Statistical Seminvariants and Their Setimates with Particular Emphasis on Their Relation to Algebraic Invariants , 1940 .
[3] John S. White. Approximate Moments for the Serial Correlation Coefficient , 1957 .
[4] A. L. Nagar. The Bias and Moment Matrix of the General k-Class Estimators of the Parameters in Simultaneous Equations , 1959 .
[5] H. Theil,et al. Testing the Independence of Regression Disturbances , 1961 .
[6] J. Kadane. Comparison of k-Class Estimators When the Disturbances Are Small , 1971 .
[7] J. Magnus. The moments of products of quadratic forms in normal variables , 1978 .
[8] F. J. H. Don. The Expectation of Products of Quadratic Forms in Normal Variables , 1979 .
[9] J. Magnus,et al. The Commutation Matrix: Some Properties and Applications , 1979 .
[10] Jan R. Magnus,et al. The expectation of products of quadratic forms in normal variables: The practice Statistica Neerlandica , 1979 .
[11] A. Ullah,et al. PROPERTIES OF SHRINKAGE ESTIMATORS IN LINEAR REGRESSION WHEN DISTURBANCES ARE NOT NORMAL , 1983 .
[12] Jean-Marie Dufour. Unbiasedness of Predictions from Estimated Autoregressions When the True Order Is Unknown , 1984 .
[13] L. Magee. Efficiency of iterative estimators in the regression model with AR(1) disturbances , 1985 .
[14] M. Kendall,et al. Kendall's advanced theory of statistics , 1995 .
[15] Jan R. Magnus,et al. The exact multi-period mean-square forecast error for the first-order autoregressive model , 1988 .
[16] A. Ullah. Finite Sample Econometrics: A Unified Approach , 1990 .
[17] A. M. Mathai. Quadratic forms in random variables , 1992 .
[18] J. Kiviet,et al. Alternative Bias Approximations in Regressions with a Lagged-Dependent Variable , 1993, Econometric Theory.
[19] Murray D. Smith,et al. EXPECTATIONS OF RATIOS OF QUADRATIC FORMS IN NORMAL VARIABLES: EVALUATING SOME TOP‐ORDER INVARIANT POLYNOMIALS , 1993 .
[20] Offer Lieberman,et al. Saddlepoint approximation for the least squares estimator in first-order autoregression , 1994 .
[21] V. K. Srivastava,et al. Efficiency properties of feasible generalized least squares estimators in SURE models under non-normal disturbances , 1995 .
[22] G. A. Ghazal. Recurrence formula for expectations of products of quadratic forms , 1996 .
[23] Eric Zivot,et al. Valid Confidence Intervals and Inference in the Presence of Weak Instruments , 1998 .
[24] B. Holmquist. Expectations of products of quadratic forms in normal variables , 1996 .
[25] Offer Lieberman. The Effect of Nonnormality , 1997, Econometric Theory.
[26] Yong Bao,et al. The Second-Order Bias and Mean Squared Error of Estimators in Time Series Models , 2007 .
[27] Ivana Komunjer,et al. Asymmetric power distribution: Theory and applications to risk measurement , 2007 .
[28] Aman Ullah,et al. Finite Sample Econometrics , 2004 .
[29] Takashi Yamagata,et al. Testing Slope Homogeneity in Large Panels , 2005, SSRN Electronic Journal.
[30] A. Ullah,et al. Finite sample properties of maximum likelihood estimator in spatial models , 2007 .
[31] Yong Bao. THE APPROXIMATE MOMENTS OF THE LEAST SQUARES ESTIMATOR FOR THE STATIONARY AUTOREGRESSIVE MODEL UNDER A GENERAL ERROR DISTRIBUTION , 2007, Econometric Theory.