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  • 1
    Online Resource
    Online Resource
    Basingstoke [u.a.] : Palgrave Macmillan
    UID:
    b3kat_BV035967460
    Format: 1 Online-Ressource
    Edition: 1. publ.
    ISBN: 9780230233737 , 9780230202306 , 9780230202313 , 0230202306 , 0230202314
    Series Statement: Palgrave texts in econometrics
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Regressionsanalyse ; Lineares Regressionsmodell ; Bootstrap-Statistik
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    London : Palgrave Macmillan
    UID:
    gbv_1657425436
    Format: Online-Ressource (XIII, 329 p, online resource)
    ISBN: 9780230233737
    Series Statement: Palgrave Texts in Econometrics
    Content: 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.
    Additional Edition: ISBN 9780230202313
    Additional Edition: Erscheint auch als Druck-Ausgabe Godfrey, L. G., 1946 - Bootstrap tests for regression models Basingstoke, Hampshire [u.a.] : Palgrave Macmillan, 2009 ISBN 0230202306
    Additional Edition: ISBN 0230202314
    Additional Edition: ISBN 9780230202306
    Additional Edition: ISBN 9780230202313
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Regressionsanalyse ; Bootstrap-Statistik
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Basingstoke [u.a.] : Palgrave Macmillan
    UID:
    gbv_617259518
    Format: Online-Ressource (xiii, 329 p)
    Edition: 1. publ.
    Edition: Online-Ausg. 2011 Electronic reproduction; Available via World Wide Web
    ISBN: 0230202306 , 0230202314 , 9780230202306 , 9780230202313 , 9780230233737
    Series Statement: Palgrave texts in econometrics
    Content: 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
    Content: 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
    Note: Includes bibliographical references (p. 305-317) and indexes , Cover; Contents; Preface; 1 Tests for Linear Regression Models; 2 Simulation-based Tests: Basic Ideas; 3 Simulation-based Tests for Regression Models with IID Errors: Some Standard Cases; 4 Simulation-based Tests for Regression Models with IID Errors: Some Non-standard Cases; 5 Bootstrap Methods for Regression Models with Non-IID Errors; 6 Simulation-based Tests for Regression Models with Non-IID Errors; 7 Simulation-based Tests for Non-nested Regression Models; 8 Epilogue; Bibliography; Author Index; Subject Index , Electronic reproduction; Available via World Wide Web
    Additional Edition: Print version Bootstrap Tests for Regression Models
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Bootstrap-Statistik
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Book
    Book
    Basingstoke [u.a.] : Palgrave Macmillan
    UID:
    b3kat_BV035572539
    Format: XIII, 329 S.
    Edition: 1. publ.
    ISBN: 9780230202306 , 9780230202313 , 0230202306 , 0230202314
    Series Statement: Palgrave texts in econometrics
    Content: "Modern computer systems are now so powerful that they can be used to carry 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 the finite-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 linear regression model as a framework for introducing simulation-based tests to applied workers, students and others who carry out empirical econometric analyses." -- Publisher's description.
    Note: Literaturverz. S. 305 - 317
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Lineares Regressionsmodell ; Bootstrap-Statistik ; Regressionsanalyse
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Book
    Book
    Basingstoke [u.a.] :Palgrave Macmillan,
    UID:
    almafu_BV035572539
    Format: XIII, 329 S.
    Edition: 1. publ.
    ISBN: 978-0-230-20230-6 , 978-0-230-20231-3 , 0-230-20230-6 , 0-230-20231-4
    Series Statement: Palgrave texts in econometrics
    Content: "Modern computer systems are now so powerful that they can be used to carry 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 the finite-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 linear regression model as a framework for introducing simulation-based tests to applied workers, students and others who carry out empirical econometric analyses." -- Publisher's description.
    Note: Literaturverz. S. 305 - 317
    Language: English
    Subjects: Economics
    RVK:
    Keywords: Lineares Regressionsmodell ; Bootstrap-Statistik ; Regressionsanalyse
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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