Cart
Free US shipping over $10
Proud to be B-Corp

Resampling Methods for Dependent Data S. N. Lahiri

Resampling Methods for Dependent Data By S. N. Lahiri

Resampling Methods for Dependent Data by S. N. Lahiri


$240.09
Condition - New
Only 2 left

Summary

By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.

Resampling Methods for Dependent Data Summary

Resampling Methods for Dependent Data by S. N. Lahiri

By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout. The book fills a gap in the literature covering research on re-sampling methods for dependent data that has witnessed vigorous growth over the last two decades but remains scattered in various statistics and econometrics journals. It can be used as a graduate level text and also as a research monograph for statisticians and econometricians.

Table of Contents

1 Scope of Resampling Methods for Dependent Data.- 2 Bootstrap Methods.- 3 Properties of Block Bootstrap Methods for the Sample Mean.- 4 Extensions and Examples.- 5 Comparison of Block Bootstrap Methods.- 6 Second-Order Properties.- 7 Empirical Choice of the Block Size.- 8 Model-Based Bootstrap.- 9 Frequency Domain Bootstrap.- 10 Long-Range Dependence.- 11 Bootstrapping Heavy-Tailed Data and Extremes.- 12 Resampling Methods for Spatial Data.- A.- B.- References.- Author Index.

Additional information

NLS9781441918482
9781441918482
1441918485
Resampling Methods for Dependent Data by S. N. Lahiri
New
Paperback
Springer-Verlag New York Inc.
2010-11-29
374
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Resampling Methods for Dependent Data