Gregory C. Reinsel

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All published works

Action	Title	Year	Authors
+	Seemingly Unrelated Regressions Models With Reduced Ranks	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Sparse Reduced-Rank Regression	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Partially Reduced-Rank Regression with Grouped Responses	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Reduced-Rank Regression Model	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Reduced-Rank Regression Models with Two Sets of Regressors	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Generalized Reduced-Rank Regression	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Reduced-Rank Regression Model With Autoregressive Errors	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	The Growth Curve Model and Reduced-Rank Regression Methods	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Multivariate Linear Regression	2022	Gregory C. Reinsel Raja P. Velu Kun Chen
+	Reduced‐Rank Regression	2014	Gregory C. Reinsel
+	Transfer Function and Multivariate Model Building	2008	George E. P. Box Gwilym M. Jenkins Gregory C. Reinsel
+	Linear Stationary Models	2008	George E. P. Box Gwilym M. Jenkins Gregory C. Reinsel
+	References	2008	George E. P. Box Gwilym M. Jenkins Gregory C. Reinsel
+	Partially reduced-rank multivariate regression models	2006	Gregory C. Reinsel Raja P. Velu
+	Reduced‐Rank Regression	2005	Gregory C. Reinsel
+	Reduced‐Rank Regression	2004	Gregory C. Reinsel
+	Reduced-rank growth curve models	2003	Gregory C. Reinsel Raja P. Velu
+	Approximate ML and REML estimation for regression models with spatial or time series AR(1) noise	2003	Gregory C. Reinsel Wai‐Kwong Cheang
+	Finite sample properties of ml and reml estimators in time series regression models with long memory noise	2003	Wai‐Kwong Cheang Gregory C. Reinsel
+	Bias Reduction of Autoregressive Estimates in Time Series Regression Model through Restricted Maximum Likelihood	2000	Wai‐Kwong Cheang Gregory C. Reinsel
+	Bias Reduction of Autoregressive Estimates in Time Series Regression Model through Restricted Maximum Likelihood	2000	Wai‐Kwong Cheang Gregory C. Reinsel
+	On multivariate linear regression shrinkage and reduced-rank procedures	1999	Gregory C. Reinsel
+	Multivariate Reduced-Rank Regression	1999	Neil H. Timm Gregory C. Reinsel Raja P. Velu
+	Seemingly Unrelated Regressions Models With Reduced Ranks	1998	Gregory C. Reinsel Raja P. Velu
+	The Growth Curve Model and Reduced-Rank Regression Methods	1998	Gregory C. Reinsel Raja P. Velu
+	Alternate Procedures for Analysis of Multivariate Regression Models	1998	Gregory C. Reinsel Raja P. Velu
+	Multivariate Reduced-Rank Regression	1998	Gregory C. Reinsel Raja P. Velu
+	Reduced-Rank Regression Models With Two Sets of Regressors	1998	Gregory C. Reinsel Raja P. Velu
+	Reduced-Rank Regression Model	1998	Gregory C. Reinsel Raja P. Velu
+	Multivariate Linear Regression	1998	Gregory C. Reinsel Raja P. Velu
+	Initial Model Building and Least Squares Estimation for Vector AR Models	1997	Gregory C. Reinsel
+	Covariance structure models for clustered proportions	1996	Tzy‐Jyun Yao Gregory C. Reinsel
+	Relationship Between Missing Data Likelihoods and Complete Data Restricted Likelihoods for Regression Time Series Models: An Application to Total Ozone Data	1996	Sabyasachi Basu Gregory C. Reinsel
+	RESULTS ON ESTIMATION AND TESTING FOR A UNIT ROOT IN THE NONSTATIONARY AUTOREGRESSIVE MOVING‐AVERAGE MODEL	1995	Sook Fwe Yap Gregory C. Reinsel
+	Estimation and Testing for Unit Roots in a Partially Nonstationary Vector Autoregressive Moving Average Model	1995	Sook Fwe Yap Gregory C. Reinsel
+	Regression Models with Spatially Correlated Errors	1994	Sabyasachi Basu Gregory C. Reinsel
+	Optimal Two-Period Repeated Measurement Designs with Two or More Treatments	1993	Keumhee C. Carrière Gregory C. Reinsel
+	Properties of the spatial unilateral first-order ARMA model	1993	Sabyasachi Basu Gregory C. Reinsel
+	Reduced-Rank and Nonstationary Co-Integrated Models	1993	Gregory C. Reinsel
+	Optimal two-period repeated measurement designs with two or more treatments	1993	Keumhee C. Carrière Gregory C. Reinsel
+	Initial Model Building and Least Squares Estimation for Vector AR Models	1993	Gregory C. Reinsel
+	VECTOR AUTOREGRESSIVE MODELS WITH UNIT ROOTS AND REDUCED RANK STRUCTURE:ESTIMATION. LIKELIHOOD RATIO TEST, AND FORECASTING	1992	Gregory C. Reinsel Sung K. Ahn
+	MAXIMUM LIKELIHOOD ESTIMATORS IN THE MULTIVARIATE AUTOREGRESSIVE MOVING‐AVERAGE MODEL FROM A GENERALIZED LEAST SQUARES VIEWPOINT	1992	Gregory C. Reinsel Sabyasachi Basu Sook Fwe Yap
+	Asymptotic properties of the score test for autocorrelation in a random effects with AR(1) errors model	1991	M. Eric Gregory C. Reinsel
+	Estimation for Partially Nonstationary Multivariate Autoregressive Models	1990	Sung K. Ahn Gregory C. Reinsel
+	Estimation for Partially Nonstationary Multivariate Autoregressive Models	1990	Sung K. Ahn Gregory C. Reinsel
+	Models for Longitudinal Data with Random Effects and AR(1) Errors	1989	M. Eric Gregory C. Reinsel
+	Models for Longitudinal Data with Random Effects and AR(1) Errors	1989	M. Eric Gregory C. Reinsel
+	Nested Reduced-Rank Autoregressive Models for Multiple Time Series	1988	Sung K. Ahn Gregory C. Reinsel
+	Nested Reduced-Rank Autogressive Models for Multiple Time Series	1988	Sung K. Ahn Gregory C. Reinsel
+	PREDICTION ERROR OF MULTIVARIATE TIME SERIES WITH MIS‐SPECIFIED MODELS	1988	Richard A. Lewis Gregory C. Reinsel
+	Reduced rank regression with autoregressive errors	1987	Raja P. Velu Gregory C. Reinsel
+	Asymptotic Distribution of Parameter Estimators for Nonconsecutively Observed Time Series	1987	Gregory C. Reinsel Michael A. Wincek
+	Distribution Of Residual Autocovariances And Prediction Mean Square Error Properties The Multivariate Reduce Rank Autoregressive Model	1987	Sung K. Ahn Gregory C. Reinsel
+	Asymptotic distribution of parameter estimators for nonconsecutively observed time series	1987	Gregory C. Reinsel Michael A. Wincek
+	An Exact Maximum Likelihood Estimation Procedure for Regression-<i>ARMA</i> Time Series Models with Possibly Nonconsecutive Data	1986	Michael A. Wincek Gregory C. Reinsel
+	Reduced rank models for multiple time series	1986	Raja P. Velu Gregory C. Reinsel Dean W. Wichern
+	Mean Squared Error Properties of Empirical Bayes Estimators in a Multivariate Random Effects General Linear Model	1985	Gregory C. Reinsel
+	Mean Squared Error Properties of Empirical Bayes Estimators in a Multivariate Random Effects General Linear Model	1985	Gregory C. Reinsel
+	Prediction of multivariate time series by autoregressive model fitting	1985	Richard A. Lewis Gregory C. Reinsel
+	A Note on Conditional Prediction in the Multivariate Linear Model	1984	Gregory C. Reinsel
+	Estimation and Prediction in a Multivariate Random Effects Generalized Linear Model	1984	Gregory C. Reinsel
+	Estimation and Prediction in a Multivariate Random Effects Generalized Linear Model	1984	Gregory C. Reinsel
+	Effects of the estimation of covariance matrix parameters in the generalized multivariate linear model	1984	Gregory C. Reinsel
+	Some results on multivariate autoregressive index models	1983	Gregory C. Reinsel

Common Coauthors

Coauthor	Papers Together
Raja P. Velu	21
Kun Chen	9
Sung K. Ahn	6
Wai‐Kwong Cheang	4
Sabyasachi Basu	4
Sook Fwe Yap	3
Gwilym M. Jenkins	3
Michael A. Wincek	3
George E. P. Box	3
Richard A. Lewis	2
Keumhee C. Carrière	2
M. Eric	2
M. Eric	1
Tzy‐Jyun Yao	1
Neil H. Timm	1
Dean W. Wichern	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions	1951	T. W. Anderson	16
+	Generalized canonical analysis for time series	1973	Peter M. Robinson	12
+	Reduced rank models for multiple time series	1986	Raja P. Velu Gregory C. Reinsel Dean W. Wichern	9
+	Reduced-rank regression for the multivariate linear model	1975	Alan Julian Izenman	9
+	Identification, Estimation and Large-Sample Theory for Regressions Containing Unobservable Variables	1974	Peter M. Robinson	8
+	An Introduction to Multivariate Statistical Analysis.	1985	C. J. Skinner T. W. Anderson	7
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	7
+	Bayesian inference for variance components using only error contrasts	1974	David A. Harville	7
+	Estimation for Partially Nonstationary Multivariate Autoregressive Models	1990	Sung K. Ahn Gregory C. Reinsel	6
+	Some results on multivariate autoregressive index models	1983	Gregory C. Reinsel	6
+	CANONICAL VARIATE ANALYSIS—A GENERAL MODEL FORMULATION	1984	N. A. Campbell	6
+	THE REDUCED‐RANK GROWTH CURVE MODEL FOR DISCRIMINANT ANALYSIS OF LONGITUDINAL DATA	1993	Jeffrey M. Albert Anant M. Kshirsagar	6
+	Separation theorems for singular values of matrices and their applications in multivariate analysis	1979	C. Radhakrishna Rao	6
+	Vector linear time series models	1976	William Dunsmuir E. J. Hannan	6
+	Maximum likelihood estimation of a multivariate linear functional relationship	1980	John Healy	6
+	An inequality with application to multivariate analysis	1975	C. M. Theobald	6
+	Reduced-Rank Regression and Canonical Analysis	1981	Michael Tso	5
+ PDF Chat	Asymptotic distribution of the reduced rank regression estimator under general conditions	1999	T. W. Anderson	5
+	The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves	1965	C. Radhakrishna Rao	5
+ PDF Chat	Analysis of Growth and Dose Response Curves	1969	James E. Grizzle David M. Allen	5
+	A generalized multivariate analysis of variance model useful especially for growth curve problems	1964	Richard F. Potthoff Sasanka Roy	5
+	Random-Effects Models for Longitudinal Data	1982	Nan M. Laird James H. Ware	5
+	Reduced Rank Models with Two Sets of Regressors	1991	Raja P. Velu	5
+	Procedures for Reduced-Rank Regression	1982	P. T. Davies Michael Tso	5
+ PDF Chat	Estimating the Structural Dimension of Regressions Via Parametric Inverse Regression	2001	Efstathia Bura R. Dennis Cook	5
+	Reduced Rank Discrimination	1997	Muni S. Srivastava	5
+ PDF Chat	Predicting Multivariate Responses in Multiple Linear Regression	1997	Leo Breiman Jerome H. Friedman	4
+	Estimation and Prediction in a Multivariate Random Effects Generalized Linear Model	1984	Gregory C. Reinsel	4
+	Redundancy analysis an alternative for canonical correlation analysis	1977	Arnold L. van den Wollenberg	4
+	On the Asymptotic Properties of LDU-Based Tests of the Rank of a Matrix	1996	John G. Cragg Stephen G. Donald	4
+ PDF Chat	Estimation in a Multivariate "Errors in Variables" Regression Model: Large Sample Results	1981	Leon Jay Gleser	4
+ PDF Chat	Estimation for the Multivariate Errors-in-Variables Model with Estimated Error Covariance Matrix	1984	Yasuo Amemiya Wayne A. Fuller	4
+	Component analysis with different sets of constraints on different dimensions	1995	Yoshio Takane Henk A. L. Kiers Jan de Leeuw	4
+	An Exact Maximum Likelihood Estimation Procedure for Regression-<i>ARMA</i> Time Series Models with Possibly Nonconsecutive Data	1986	Michael A. Wincek Gregory C. Reinsel	4
+ PDF Chat	Limiting Distributions of Least Squares Estimates of Unstable Autoregressive Processes	1988	Ngai Hang Chan Ching-Zong Wei	4
+	Empirical Bayes on vector observations: An extension of Stein's method	1972	Bradley Efron Carl N. Morris	4
+	On the Use of Marginal Likelihood in Time Series Model Estimation	1989	G. Tunnicliffe Wilson	4
+	Estimating structural and functional relationships	1971	P. A. P. Moran	4
+	Bayesian reduced rank regression in econometrics	1996	John Geweke	4
+	An Introduction to Multivariate Statistics.	1980	M. J. R. Healy Muni S. Srivastava C. G. Khatri	4
+ PDF Chat	Estimating Linear Statistical Relationships	1984	T. W. Anderson	4
+ PDF Chat	Maximum Likelihood and Least Squares Estimation in Linear and Affine Functional Models	1982	C. Villegas	4
+	Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems	1977	David A. Harville	4
+	Estimation of a linear transformation	1973	Leon Jay Gleser Geoffrey S. Watson	4
+	Nested Reduced-Rank Autoregressive Models for Multiple Time Series	1988	Sung K. Ahn Gregory C. Reinsel	4
+	A Reduced-Rank Multivariate Regression Approach to Aquatic Joint Toxicity Experiments	1992	Daniel A. J. Ryan J. J. Hubert E M Carter John B. Sprague Joanne L. Parrott	4
+	Nested Reduced-Rank Autogressive Models for Multiple Time Series	1988	Sung K. Ahn Gregory C. Reinsel	4
+	A note on a manova model applied to problems in growth curve	1966	C. G. Khatri	3
+	Sample reuse procedures for prediction of the unobserved portion of a partially observed vector	1981	Seymour Geisser	3
+ PDF Chat	Adaptive Multivariate Ridge Regression	1980	Philip J. Brown James V. Zidek	3