![]() The Collected Papers of T. W. Anderson, 1943-1985, 2 Volume Set
ISBN: 978-0-471-62422-6
Hardcover
1681 pages
August 1990
US $465.00
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Partial table of contents:
Some Significance Tests for Normal Bivariate Distributions (D. Villars & T. Anderson).
On the Theory of Testing Serial Correlation.
Classification by Multivariate Analysis.
A Test of Goodness of Fit.
Some Recent Results in Latent Structure Analysis.
On Asymptotic Distributions of Estimates of Parameters of Stochastic Difference Equations.
Least Squares and Best Unbiased Estimates.
A Test for Equality of Means When Covariance Matrices Are Unequal.
On Bayes Procedures for a Problem with Choice of Observations.
Large Sample Distribution Theory for Estimates of the Parameters of a Latent Class Model.
Tests for Randomness of Directions Against Equatorial and Bimodal Alternatives.
An Extremal Problem for Positive Definite Matrices.
Maximum Likelihood Estimation in Autoregressive and Moving Average Models.
A New Proof of Admissibility of Tests in the Multivariate Analysis of Variance.
Maximum Likelihood Estimation of the Parameters of a Multivariate Normal Distribution.
Commentaries.
Index.
Some Significance Tests for Normal Bivariate Distributions (D. Villars & T. Anderson).
On the Theory of Testing Serial Correlation.
Classification by Multivariate Analysis.
A Test of Goodness of Fit.
Some Recent Results in Latent Structure Analysis.
On Asymptotic Distributions of Estimates of Parameters of Stochastic Difference Equations.
Least Squares and Best Unbiased Estimates.
A Test for Equality of Means When Covariance Matrices Are Unequal.
On Bayes Procedures for a Problem with Choice of Observations.
Large Sample Distribution Theory for Estimates of the Parameters of a Latent Class Model.
Tests for Randomness of Directions Against Equatorial and Bimodal Alternatives.
An Extremal Problem for Positive Definite Matrices.
Maximum Likelihood Estimation in Autoregressive and Moving Average Models.
A New Proof of Admissibility of Tests in the Multivariate Analysis of Variance.
Maximum Likelihood Estimation of the Parameters of a Multivariate Normal Distribution.
Commentaries.
Index.


