Parametric and Nonparametric Inference from Record-Breaking Data / Edition 1

Parametric and Nonparametric Inference from Record-Breaking Data / Edition 1

by Sneh Gulati, William J. Padgett, William J. Padgett
     
 

ISBN-10: 0387001387

ISBN-13: 9780387001388

Pub. Date: 01/27/2003

Publisher: Springer New York

By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail.

Its main purpose is to fill this void on general inference from record values.

Statisticians, mathematicians, and engineers will find the

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Overview

By providing a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, this book treats the area of nonparametric function estimation from such data in detail.

Its main purpose is to fill this void on general inference from record values.

Statisticians, mathematicians, and engineers will find the book useful as a research reference. It can also serve as part of a graduate-level statistics or mathematics course.

Product Details

ISBN-13:
9780387001388
Publisher:
Springer New York
Publication date:
01/27/2003
Series:
Lecture Notes in Statistics Series, #172
Edition description:
2003
Pages:
117
Product dimensions:
0.28(w) x 6.14(h) x 9.21(d)

Table of Contents

1. Introduction.- 2. Preliminaries and Early Work.- 3. Parametric Inference.- 4. Nonparametric Inference—Genesis.- 5. Smooth Function Estimation.- 6. Bayesian Models.- 7. Record Models with Trend.- References.

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