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Bootstrap tests for regression models[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	330.01/519536
書名/作者:	Bootstrap tests for regression models/ Leslie Godfrey.
作者:	Godfrey, L. G.
出版者:	Basingstoke, Hampshire ; : Palgrave Macmillan,, 2009.
面頁冊數:	xiii, 329 p. ;; 22 cm.
標題:	Econometric models.
標題:	Regression analysis.
標題:	Bootstrap (Statistics)
ISBN:	9780230233737
ISBN:	0230233732
書目註:	Includes bibliographical references (p. 305-317) and indexes.
內容註:	Tests for linear regression models -- Simulation-based tests : basicideas -- Simulation-basedtests for regression models with IID errors : some standard cases -- Simulation-based tests for regression models with IID errors : some non-standard cases -- Bootstrap methods for regression models with non-IID errors -- Simulation-based tests for regression models with non-IID errors -- Simulation-Based Tests for Non-Nested Regression Models.
摘要、提要註:	Modern computer systems are now so powerful that they can be used tocarry out simulation-based statistical investigations without involving delays or the need to access high levels of equipment. When carrying out econometric analyses, the routine use of computer-based methods offers a valuable alternative to the standard approach in which approximations are based upon what happens as the sample size grows without limit. Applied work has to be based upon a finite number of observations. Computationally-intensive techniques and, in particular, bootstrap methods provide ways to improve thefinite-sample performance of well-known tests. Bootstrap tests can also be employed when conventional theory does not lead to a test statistic, which can be compared with critical values from some standard distribution. This book uses the familiar linearregression model as a framework for introducing simulation-based teststo applied workers, students and others who carry out empirical econometricanalyses. .
電子資源:	access to fulltext (Palgrave)

Bootstrap tests for regression models[electronic resource] /
Godfrey, L. G.

Bootstrap tests for regression models[electronic resource] /Leslie Godfrey. - Basingstoke, Hampshire ;Palgrave Macmillan,2009. - xiii, 329 p. ;22 cm. - Palgrave texts in econometrics. - Palgrave texts in econometrics..

Includes bibliographical references (p. 305-317) and indexes.

Tests for linear regression models -- Simulation-based tests : basicideas -- Simulation-basedtests for regression models with IID errors : some standard cases -- Simulation-based tests for regression models with IID errors : some non-standard cases -- Bootstrap methods for regression models with non-IID errors -- Simulation-based tests for regression models with non-IID errors -- Simulation-Based Tests for Non-Nested Regression Models.

Modern computer systems are now so powerful that they can be used tocarry out simulation-based statistical investigations without involving delays or the need to access high levels of equipment. When carrying out econometric analyses, the routine use of computer-based methods offers a valuable alternative to the standard approach in which approximations are based upon what happens as the sample size grows without limit. Applied work has to be based upon a finite number of observations. Computationally-intensive techniques and, in particular, bootstrap methods provide ways to improve thefinite-sample performance of well-known tests. Bootstrap tests can also be employed when conventional theory does not lead to a test statistic, which can be compared with critical values from some standard distribution. This book uses the familiar linearregression model as a framework for introducing simulation-based teststo applied workers, students and others who carry out empirical econometricanalyses.    .

Electronic reproduction.
Basingstoke, England :
Palgrave Macmillan,
2010.

Mode of access:World Wide Web.

ISBN: 9780230233737

Standard No.: 10.1057/9780230233737doiSubjects--Topical Terms:

184596
Econometric models.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: HB141 / .G63 2009

Dewey Class. No.: 330.01/519536

Bootstrap tests for regression models[electronic resource] /
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