Introduction to empirical processes and semiparametric inference / Michael R. Kosorok.
"This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical reference for complex models and in understanding the properties of such m...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
New York, N.Y. :
Springer,
[2008]
|
| Series: | Springer series in statistics.
|
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "This book provides a self-contained, linear, and unified introduction to empirical processes and semiparametric inference. These powerful research techniques are surprisingly useful for developing methods of statistical reference for complex models and in understanding the properties of such methods. The targeted audience includes statisticians, biostatisticians, and other researchers with a background in mathematical statistics who have an interest in learning about and doing research in empirical processes and semiparametric inference but who would like to have a friendly and gradual introduction to the area. The book can be used either as a research reference or as a textbook. The level of the book is suitable for a second year graduate course in statistics or biostatistics, provided the students have had a year of graduate level mathematical statistics and a semester of provability."--Jacket. |
|---|---|
| Physical Description: | 1 online resource (xiv, 483 pages). |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0387749780 1281216798 9780387749785 9781281216793 |