The First Erich L Lehmann Symposium Optimality Institute of Mathematical Statistics Lecture Notes Monograph Series 1st Edition by Javier Rojo, Victor Perez Abreu ISBN 0940600595 978-0940600591 by Javier Rojo, Victor Perez-abreu 0940600595 instant download after payment.

The First Erich L. Lehmann Symposium: Optimality (Institute of Mathematical Statistics: Lecture Notes - Monograph Series) 1st Edition by Javier Rojo, Victor Perez-Abreu - Ebook PDF Instant Download/Delivery: 0940600595, 978-0940600591

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Product details:

ISBN 10: 0940600595 

ISBN 13: 978-0940600591

Author: Javier Rojo, Victor Perez-Abreu

This volume collects peer-reviewed papers presented at the First Erich L. Lehmann Symposium on Optimality, held to honor the influential statistician Erich L. Lehmann. The symposium focused on theoretical advances and applications related to optimality in statistical inference.

Topics covered in the book include:

• Hypothesis testing and estimation theory

• Nonparametric and semiparametric methods

• Bayesian analysis and decision theory

• Asymptotic optimality results

• Applications in various statistical models

The chapters are written by leading researchers in mathematical statistics, offering both new theoretical developments and insightful surveys of existing work.

Designed for graduate students, researchers, and professionals in statistics and related fields, this monograph highlights cutting-edge research inspired by Lehmann’s pioneering contributions to optimality and hypothesis testing.

Published as part of the IMS Lecture Notes – Monograph Series, the book is both a tribute to Lehmann’s legacy and a valuable resource for anyone studying advanced statistical theory.

Table of contents:

1. Miscellaneous Frontmatter

2. Preface: The First Erich L. Lehmann Symposium – Optimality

3. Local Organizing Committee, Picture and List of Participants

4. Articles

5. Optimality and symposia: some history

6. Optimality results in multiple hypothesis testing

7. On the estimation of survival functions under a stochastic order constraint

8. A three-way classification strategy for reducing class-abundance: the zip code recognition example

9. A sizer analysis of IP flow start times

10. Second order asymptotics for M-estimators under non-standard conditions

11. Best unbiased prediction for Gaussian and log-Gaussian processes

12. What is optimality in scientific inference?

13. The estimation of p ≥ q from two independent binomial samples b(n,p) and b(m,q)

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Tags: Javier Rojo, Victor Perez Abreu, First, Erich L Lehmann, Symposium, Optimality, Institute, Mathematical Statistics, Lecture Notes, Monograph Series