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The Theory and Applications of Statistical Inference Functions

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Cover of 'The Theory and Applications of Statistical Inference Functions'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Space of Inference Functions: Ancillarity, Sufficiency and Projection
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    Chapter 3 Selecting an Inference Function for 1-Parameter Models
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    Chapter 4 Nuisance Parameters
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    Chapter 5 Inference under Restrictions: Least Squares, Censoring and Errors in Variables Techniques
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    Chapter 6 Inference for Stochastic Processes
Attention for Chapter 6: Inference for Stochastic Processes
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Chapter title
Inference for Stochastic Processes
Chapter number 6
Book title
The Theory and Applications of Statistical Inference Functions
Published by
Springer, New York, NY, January 1988
DOI 10.1007/978-1-4612-3872-0_6
Book ISBNs
978-0-387-96720-2, 978-1-4612-3872-0
Authors

D. L. McLeish, Christopher G. Small

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