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Statistical Inference in Random Coefficient Regression Models: 55 (Lecture Notes in Economics and Mathematical Systems) - Softcover
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This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: "Efficient methods of estimating a regression equation with equi-correlated disturbances", and "The exact finite sample properties of estimators of coefficients in error components regression models" (with Arora) which form the basis for Chapters 11 and III respectively. One way of increasing the amount of statistical information is to assemble the cross-sections of successive years. To analyze such a body of data the traditional linear regression model is not appropriate and we have to introduce some additional complications and assumptions due to the hetero geneity of behavior among individuals. These complications have been discussed in this monograph. Limitations of economic data, particularly their non-experimental nature, do not permit us to know a priori the correct specification of a model. I have considered several different sets of assumptionR about the stability of coeffi cients and error variances across individuals and developed appropriate inference procedures. I have considered only those sets of assumptions which lead to opera tional procedures. Following the suggestions of Kuh, Klein and Zellner, I have adopted the linear regression models with some or all of their coefficients varying randomly across individuals.
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This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: "Efficient methods of estimating a regression equation with equi-correlated disturbances", and "The exact finite sample properties of estimators of coefficients in error components regression models" (with Arora) which form the basis for Chapters 11 and III respectively. One way of increasing the amount of statistical information is to assemble the cross-sections of successive years. To analyze such a body of data the traditional linear regression model is not appropriate and we have to introduce some additional complications and assumptions due to the hetero geneity of behavior among individuals. These complications have been discussed in this monograph. Limitations of economic data, particularly their non-experimental nature, do not permit us to know a priori the correct specification of a model. I have considered several different sets of assumptionR about the stability of coeffi cients and error variances across individuals and developed appropriate inference procedures. I have considered only those sets of assumptions which lead to opera tional procedures. Following the suggestions of Kuh, Klein and Zellner, I have adopted the linear regression models with some or all of their coefficients varying randomly across individuals.
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Statistical Inference in Random Coefficient Regression Models (Lecture Notes in Economics and Mathematical Systems, 55, Band 55)
Verlag:
Springer Berlin Heidelberg, 1971
ISBN 10: 3540056033
ISBN 13: 9783540056034
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paperback. Zustand: Befriedigend. 224 Seiten; 9783540056034.4 Gewicht in Gramm: 500. Bestandsnummer des Verkäufers 842897
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Statistical inference in random coefficient regression models.
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Statistical Inference in Random Coefficient Regression Models. (= Lecture Notes in Operations Research and Mathematical Systems, Volume 55).
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VIII, 209 Seiten, 3540056033 Sprache: Englisch Gewicht in Gramm: 400 Groß 8°, Original-Karton (Softcover), Bibliotheks-Exemplare (ordungsgemäß entwidmet) mit leihten Rückständen vom Rückenschild ind mit kleiner Papier-Signatur, Stempel auf Titel, Rücken leicht aufgehellt, Vorderdeckel leicht wasserrandig, ordentliches Exemplar, Bestandsnummer des Verkäufers 123105
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Statistical Inference in Random Coefficient Regression Models. (= Lecture Notes in Economics and Mathematical Systems, Band 55).
Verlag:
Springer Berlin Heidelberg, 1971
ISBN 10: 3540056033
ISBN 13: 9783540056034
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8° , Softcover/Paperback. 1.Auflage,. 224 Seiten Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand 9783540056034 Sprache: Englisch Gewicht in Gramm: 405. Bestandsnummer des Verkäufers 150554
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Statistical Inference in Random Coefficient Regression Models (Lecture Notes in Economics and Mathematical Systems)
Verlag:
Springer Berlin Heidelberg, 1971
ISBN 10: 3540056033
ISBN 13: 9783540056034
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Zustand: Gut. 224 Seiten nice ex library book Sprache: Englisch Gewicht in Gramm: 469 25,4 x 17,8 x 1,3 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1971. Bestandsnummer des Verkäufers 344233
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Statistical Inference in Random Coefficient Regression Models (Lecture Notes in Economics and Mathematical Systems)
Verlag:
Springer Berlin Heidelberg, 1971
ISBN 10: 3540056033
ISBN 13: 9783540056034
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Softcover
Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
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Zustand: Gut. 224 Seiten Sprache: Englisch Gewicht in Gramm: 469 24,9 x 17,3 x 1,8 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1971. Bestandsnummer des Verkäufers 365034
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Statistical Inference in Random Coefficient Regression Models.
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Paperback. Zustand: Good. Series: Lecture Notes in Operations Research and Mathematical Systems 209p red paperback, this copy discarded from the library of the Manchester Institute of Science & Technology, library stamps, old fashioned loan pocket to back cover, front endpaper missing, some traces of use, still a good copy Language: English. Bestandsnummer des Verkäufers 107536
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Statistical Inference in Random Coefficient Regression Models
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material develope. Bestandsnummer des Verkäufers 4878848
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Statistical Inference in Random Coefficient Regression Models
ISBN 10: 3540056033
ISBN 13: 9783540056034
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: 'Efficient methods of estimating a regression equation with equi-correlated disturbances', and 'The exact finite sample properties of estimators of coefficients in error components regression models' (with Arora) which form the basis for Chapters 11 and III respectively. One way of increasing the amount of statistical information is to assemble the cross-sections of successive years. To analyze such a body of data the traditional linear regression model is not appropriate and we have to introduce some additional complications and assumptions due to the hetero geneity of behavior among individuals. These complications have been discussed in this monograph. Limitations of economic data, particularly their non-experimental nature, do not permit us to know a priori the correct specification of a model. I have considered several different sets of assumptionR about the stability of coeffi cients and error variances across individuals and developed appropriate inference procedures. I have considered only those sets of assumptions which lead to opera tional procedures. Following the suggestions of Kuh, Klein and Zellner, I have adopted the linear regression models with some or all of their coefficients varying randomly across individuals. 224 pp. Englisch. Bestandsnummer des Verkäufers 9783540056034
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Statistical Inference in Random Coefficient Regression Models
ISBN 10: 3540056033
ISBN 13: 9783540056034
Neu
Taschenbuch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two subsequent papers: 'Efficient methods of estimating a regression equation with equi-correlated disturbances', and 'The exact finite sample properties of estimators of coefficients in error components regression models' (with Arora) which form the basis for Chapters 11 and III respectively. One way of increasing the amount of statistical information is to assemble the cross-sections of successive years. To analyze such a body of data the traditional linear regression model is not appropriate and we have to introduce some additional complications and assumptions due to the hetero geneity of behavior among individuals. These complications have been discussed in this monograph. Limitations of economic data, particularly their non-experimental nature, do not permit us to know a priori the correct specification of a model. I have considered several different sets of assumptionR about the stability of coeffi cients and error variances across individuals and developed appropriate inference procedures. I have considered only those sets of assumptions which lead to opera tional procedures. Following the suggestions of Kuh, Klein and Zellner, I have adopted the linear regression models with some or all of their coefficients varying randomly across individuals.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch. Bestandsnummer des Verkäufers 9783540056034
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