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Bootstrap tests for regression models
~
Godfrey, L. G.
Bootstrap tests for regression models
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Bootstrap tests for regression modelsLeslie 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.
電子資源:
access to fulltext (Palgrave)
ISBN:
9780230233737
Bootstrap tests for regression models
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:
183244
Econometric models.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HB141 / .G63 2009
Dewey Class. No.: 330.01/519536
Bootstrap tests for regression models
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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. .
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