Inference, Asymptotics, And Applications

Selected Papers Of IB Michael Skovgaard, With Introductions By His Colleagues

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Last edited by Kaustubh Chakraborty
December 30, 2024 | History

Inference, Asymptotics, And Applications

Selected Papers Of IB Michael Skovgaard, With Introductions By His Colleagues

First edition
  • 1 Want to read

This book showcases the innovative research of Professor Skovgaard, by providing in one place a selection of his most important and influential papers. Introductions by colleagues set in context the highlights, key achievements, and impact, of each work. This book provides a survey of the field of asymptotic theory and inference as it was being pushed forward during an exceptionally fruitful time. It provides students and researchers with an overview of many aspects of the field.

Publish Date
Language
English
Pages
370

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Edition Availability
Cover of: Inference, Asymptotics, And Applications
Inference, Asymptotics, And Applications: Selected Papers Of IB Michael Skovgaard, With Introductions By His Colleagues
March 10, 2017, World Scientific Publishing Company (WSPC)
Hardcover in English - First edition

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Book Details


First Sentence

"Edgeworth expansion is a major pillar in the foundation of modern higher order asymptotic theory of statistics."

Table of Contents

-- Preface
-- Introduction
-- Edgeworth Expansions for the Distributions of Maximum Likelihood Estimators in the General (Non IID) Case (Introduction by Rahul Mukerjee)
-- A Second-Order Investigation of Asymptotic Ancillarity (Introduction by Peter McCullagh)
-- On Multivariate Edgeworth Expansions (Introduction by John Robinson)
-- Saddlepoint Expansions for Conditional Distributions (Introduction by Jens Ledet Jensen)
-- Saddlepoint Expansions for Directional Test Probabilities (Introduction by Nicola Sartori)
-- A Review of Higher Order Likelihood Inference (Introduction by Nancy Reid)
-- On the Density of Minimum Contrast Estimators (Introduction by Alessandra Salvan and Luigi Pace)
-- Modelling Relations Between Instrumental and Sensory Measurements in Factorial Experiments (Introduction by Per Bruun Brockhoff)
-- An Explicit Large-Deviation Approximation to One-Parameter Tests (Introduction by Thomas A Severini)
-- Modified Residuals in Non-Linear Regression (Introduction by Anthony Davison)
-- Likelihood Asymptotics (Introduction by Ruggero Bellio and Donald A Pierce)
-- On the Use of a Parameter Dependent Group Structure for Inference(Introduction by D A S Fraser)
-- Efficient Estimation of Fixed and Time-Varying Covariate Effects in Multiplicative Intensity Models (Introduction by Yanqing Sun and Seunggen Hyun)
-- Diffusion-Type Models with Given Marginal Distribution and Autocorrelation Function (Introduction by Helle Sørensen)
-- Likelihood Ratio Tests in Curved Exponential Families with Nuisance Parameters Present Only Under the Alternative (Introduction by Nina Munkholt Jakobsen and Michael Sørensen)
-- Nonparametric Maximum Likelihood Estimation of Randomly Time-Transformed Curves (Introduction by Judith Rousseau)
-- Bibliography

Edition Notes

Includes bibliographical references at page 339

Published in
New Jersey, USA
Copyright Date
©2017

Classifications

Dewey Decimal Class
519.5/4
Library of Congress
QA276 .S5555 2017

The Physical Object

Format
Hardcover
Pagination
xvi, 347 pages : illustrations ; 24 cm
Number of pages
370
Weight
1 pounds

Edition Identifiers

Open Library
OL57388512M
ISBN 10
9813207876
ISBN 13
9789813207875
LCCN
2017001100
OCLC/WorldCat
968345996

Work Identifiers

Work ID
OL42309513W

Work Description

The material is advanced and assumes a strong background in statistical theory, particularly in asymptotics and likelihood methods. It offers a curated collection of his most significant works, making it a cohesive resource for understanding advanced topics in statistical inference.
The book is an excellent resource for those interested in advanced statistical inference and Skovgaard’s contributions. It is particularly valuable for researchers and advanced students specializing in asymptotic theory or likelihood-based methods.

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History

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December 30, 2024 Edited by Kaustubh Chakraborty Added new book
December 30, 2024 Created by Kaustubh Chakraborty Added new book.