Parametric Statistical Inference (Hardcover)

J.K. Lindsey

ISBN 10: 0198523599 / ISBN 13: 9780198523598

Published by Oxford University Press, Oxford, 1996

About this Item

Hardcover. Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. Two central unifying components of statistics are the likelihood function and the exponential family. These are here brought together for the first time as the central themes of a book on statistical inference. This book is appropriate as an advanced undergraduate or graduate text in mathematical statistics. Two central unifying components of statistics are the likelihood function and the exponential family. These are here brought together for the first time as the central themes of a book on statistical inference, appropriate as an advanced undergraduate or graduate text in mathematical statistics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9780198523598

Bibliographic Details

• Title: Parametric Statistical Inference (Hardcover)
• Publisher: Oxford University Press, Oxford
• Publication Date: 1996
• Language: English
• ISBN 10: 0198523599
• ISBN 13: 9780198523598
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Inference involves drawing conclusions about some general phenomenon from limited empirical observations in the face of random variability. In a scientific context, the general must include the completely unforeseen if all possibilities are to be considered. Many of the statistical models most used to describe such phenomena belong to one of a small number of families--the exponential, transformation, and stable families. In the past 25 years, the likelihood function has been recognized as the fundamental element of approach to drawing scientific conclusions. This book brings together for the first time these two components of statistics as the central themes of statistical inference. Chapters focus on model building, approximations, and examples. There are also appendices on the elements of measure theory, probability theory, and numerical methods. The discussions are appropriate for students of mathematical statistics.

About the Author

J. K. Lindsey is at University of Liège.