Linear Statistical Inference - Lecture Notes in Statistics
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Published By Springer New York

9780387962559, 9781461573531

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A Note on Admissibility of Improved Unbiased Estimators in Two Variance Component Models

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_7 ◽

1985 ◽

pp. 78-87 ◽

Cited By ~ 1

Author(s):

S. Gnot ◽

J. Kleffe

Keyword(s):

Variance Component ◽

Unbiased Estimators ◽

Variance Component Models ◽

Component Models

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On a Decomposition of the Singular Gauss-Markov Model

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_19 ◽

1985 ◽

pp. 231-245 ◽

Cited By ~ 4

Author(s):

K. Nordström

Keyword(s):

Markov Model

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Majorization and Approximate Majorization for Families of Measures, Applications to Local Comparison of Experiments and the Theory of Majorization of Vectors in Rn (Schur Convexity)

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_21 ◽

1985 ◽

pp. 259-310 ◽

Cited By ~ 1

Author(s):

E. Torgersen

Keyword(s):

Comparison Of Experiments ◽

Local Comparison ◽

Schur Convexity

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Connected Designs with the Minimum Number of Experimental Units

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_9 ◽

1985 ◽

pp. 99-117 ◽

Cited By ~ 1

Author(s):

S. Kageyama

Keyword(s):

Minimum Number

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Linear Statistical Inference Based on L-Estimators

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_8 ◽

1985 ◽

pp. 88-98

Author(s):

J. Jurečková

Keyword(s):

Statistical Inference ◽

Linear Statistical Inference

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Approximate Design Theory for a Simple Block Design with Random Block Effects

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_2 ◽

1985 ◽

pp. 20-28 ◽

Cited By ~ 1

Author(s):

K. Christof ◽

F. Pukelsheim

Keyword(s):

Design Theory ◽

Block Design ◽

Approximate Design ◽

Random Block ◽

Approximate Design Theory ◽

Simple Block

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A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_17 ◽

1985 ◽

pp. 211-222 ◽

Cited By ~ 2

Author(s):

S. Mejza

Keyword(s):

Block Design ◽

Incomplete Block ◽

Incomplete Block Design ◽

Split Plot ◽

Plot Design

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Distribution of the Discriminant Function

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_14 ◽

1985 ◽

pp. 170-183 ◽

Cited By ~ 1

Author(s):

M. Krzyśko

Keyword(s):

Discriminant Function

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Sensitivity of Linear Models with Respect to the Covariance Matrix

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_18 ◽

1985 ◽

pp. 223-230

Author(s):

E. Neuwirth

Keyword(s):

Covariance Matrix ◽

Linear Models

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Some Remarks on Improving Unbiased Estimators by Multiplication with a Constant

Linear Statistical Inference - Lecture Notes in Statistics ◽

10.1007/978-1-4615-7353-1_12 ◽

1985 ◽

pp. 150-161 ◽

Cited By ~ 5

Author(s):

J. Kleffe

Keyword(s):

Unbiased Estimators

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Linear Statistical Inference - Lecture Notes in StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

A Note on Admissibility of Improved Unbiased Estimators in Two Variance Component Models

On a Decomposition of the Singular Gauss-Markov Model

Majorization and Approximate Majorization for Families of Measures, Applications to Local Comparison of Experiments and the Theory of Majorization of Vectors in Rn (Schur Convexity)

Connected Designs with the Minimum Number of Experimental Units

Linear Statistical Inference Based on L-Estimators

Approximate Design Theory for a Simple Block Design with Random Block Effects

A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design

Distribution of the Discriminant Function

Sensitivity of Linear Models with Respect to the Covariance Matrix

Some Remarks on Improving Unbiased Estimators by Multiplication with a Constant

Linear Statistical Inference - Lecture Notes in Statistics
Latest Publications