{
"item_title" : "Bootstrap Tests for Regression Models",
"item_author" : [" L. Godfrey "],
"item_description" : "An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.",
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Overview
An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.
This item is Non-Returnable
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Details
- ISBN-13: 9780230202313
- ISBN-10: 0230202314
- Publisher: Palgrave MacMillan
- Publish Date: July 2009
- Dimensions: 8.4 x 5.4 x 0.8 inches
- Shipping Weight: 0.95 pounds
- Page Count: 329
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