Advances in the Statistical Sciences: Foundations of Statistical Inference
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Published By Springer Netherlands

9789401086233, 9789400947887

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Dynamic Coherence

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_21 ◽

1987 ◽

pp. 233-243 ◽

Cited By ~ 4

Author(s):

Brian Skyrms

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How Much Improvement can a Shrinkage Estimator Give?

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_9 ◽

1987 ◽

pp. 93-103

Author(s):

James V. Bondar

Keyword(s):

Shrinkage Estimator

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Statistical Inference for the Overlap Hypothesis

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_7 ◽

1987 ◽

pp. 63-72

Author(s):

Larry V. Hedges ◽

Ingram Olkin

Keyword(s):

Statistical Inference

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Sketch of the Theory of Nomic Probability

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_22 ◽

1987 ◽

pp. 245-257

Author(s):

John L. Pollock

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A Neyman-Pearson-Wald View of Fiducial Probability

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_2 ◽

1987 ◽

pp. 9-20 ◽

Cited By ~ 1

Author(s):

Colin R. Blyth ◽

James V. Bondar

Keyword(s):

Fiducial Probability

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A Bound for the Tail Area of the t Distribution for Samples from a Symmetrically Truncated Normal Population

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_16 ◽

1987 ◽

pp. 183-187

Author(s):

M. M. Ali

Keyword(s):

Normal Population ◽

Truncated Normal ◽

T Distribution

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Missing Value Problems in Multiple Linear Regression with Two Independent Variables

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_15 ◽

1987 ◽

pp. 163-182

Author(s):

M. A. Ali

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Missing Value ◽

Independent Variables ◽

Two Independent Variables

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On Ultrastructural Relationships Models

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_13 ◽

1987 ◽

pp. 139-147

Author(s):

D. S. Tracy ◽

K. G. Jinadasa

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On Shrinkage and Preliminary Test M-Estimation in a Parallelism Problem

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_10 ◽

1987 ◽

pp. 105-119

Author(s):

A. K. Ehsanes Saleh ◽

Pranab Kumar Sen

Keyword(s):

Preliminary Test ◽

M Estimation

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Bayesian Method of Detecting Change Point in Regression and Growth Curve Models

Advances in the Statistical Sciences: Foundations of Statistical Inference ◽

10.1007/978-94-009-4788-7_8 ◽

1987 ◽

pp. 73-91

Author(s):

I. Guttman ◽

M. S. Srivastava

Keyword(s):

Growth Curve ◽

Change Point ◽

Bayesian Method ◽

Growth Curve Models

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Advances in the Statistical Sciences: Foundations of Statistical InferenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Netherlands

Dynamic Coherence

How Much Improvement can a Shrinkage Estimator Give?

Statistical Inference for the Overlap Hypothesis

Sketch of the Theory of Nomic Probability

A Neyman-Pearson-Wald View of Fiducial Probability

A Bound for the Tail Area of the t Distribution for Samples from a Symmetrically Truncated Normal Population

Missing Value Problems in Multiple Linear Regression with Two Independent Variables

On Ultrastructural Relationships Models

On Shrinkage and Preliminary Test M-Estimation in a Parallelism Problem

Bayesian Method of Detecting Change Point in Regression and Growth Curve Models

Advances in the Statistical Sciences: Foundations of Statistical Inference
Latest Publications