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Measurement Error Models - Wayne A. Fuller
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2006, ISBN: 9780470095713

ID: 797272777

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ´´The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries.´´ -Biometrics ´´Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller´s book is most welcome. Anyone with an interest in the subject should certainly have this book.´´ -Journal of the American Statistical Association ´´The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection.´´ -Technometrics ´´ . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work.´´ -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets. This valuable book length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models. Buch (fremdspr.) Taschenbuch 01.09.2006 Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons, .200

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Measurement Error Models - Wayne A. Fuller
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Wayne A. Fuller:
Measurement Error Models - neues Buch

ISBN: 9780470095713

ID: 735958811

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ´´The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries.´´ -Biometrics ´´Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller´s book is most welcome. Anyone with an interest in the subject should certainly have this book.´´ -Journal of the American Statistical Association ´´The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection.´´ -Technometrics ´´ . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work.´´ -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets. This valuable book length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons Inc

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Measurement Error Models - Wayne A. Fuller
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Wayne A. Fuller:
Measurement Error Models - neues Buch

ISBN: 9780470095713

ID: 835805933

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ´´The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries.´´ -Biometrics ´´Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller´s book is most welcome. Anyone with an interest in the subject should certainly have this book.´´ -Journal of the American Statistical Association ´´The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection.´´ -Technometrics ´´ . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work.´´ -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets. This valuable book length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, John Wiley & Sons

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Measurement Error Models - Fuller, Wayne A.
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Fuller, Wayne A.:
Measurement Error Models - neues Buch

ISBN: 9780470095713

ID: 469407

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable . . . [the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries." -Biometrics "Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller's book is most welcome. Anyone with an interest in the subject should certainly have this book." -Journal of the American Statistical Association "The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection." -Technometrics " . . . this book is a remarkable achievement and the product of impressive top-grade scholarly work." -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression models are included with errors in the variables, latent variable models, and factor models. Results from several areas of application are discussed, including recent results for nonlinear models and for models with unequal variances. The estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals are addressed, and in addition, procedures are illustrated with data drawn from nearly twenty real data sets. Mathematics Mathematics eBook, Wiley

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ISBN: 0470095717

ID: 3059646

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The effort of Professor Fuller is commendable ...[the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find it valuable. It is the fundamental book on the subject, and statisticians will benefit from adding this book to their collection or to university or departmental libraries." -Biometrics "Given the large and diverse literature on measurement error/errors-in-variables problems, Fuller's book is most welcome. Anyone with an interest in the subject should certainly have this book." -Journal of the American Statistical Association "The author is to be commended for providing a complete presentation of a very important topic. Statisticians working with measurement error problems will benefit from adding this book to their collection." -Technometrics " ...this book is a remarkable achievement and the product of impressive top-grade scholarly work." -Journal of Applied Econometrics Measurement Error Models offers coverage of estimation for situations where the model variables are observed subject to measurement error. Regression experiments instruments and measurement,mathematics,measurement,science and math,science and math,statistics,textbooks Statistics, Wiley-Interscience

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Measurement Error Models

This valuable book-length treatment of the field offers coverage of estimation for situations where the model variables are observed subject to measurement error. Included are regression models with errors in the variables, latent variable models, and factor models. This book brings together results from several areas of application, including discussion of recent results for nonlinear models and for models with unequal variances. Also explained are the estimation of true values for the fixed model, prediction of true values under the random model, model checks, and the analysis of residuals. Procedures are illustrated with data drawn from nearly twenty real-data sets.

Detailangaben zum Buch - Measurement Error Models


EAN (ISBN-13): 9780470095713
ISBN (ISBN-10): 0470095717
Taschenbuch
Erscheinungsjahr: 2006
Herausgeber: John Wiley & Sons
440 Seiten
Gewicht: 0,662 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 26.02.2007 02:56:44
Buch zuletzt gefunden am 03.11.2017 21:00:46
ISBN/EAN: 9780470095713

ISBN - alternative Schreibweisen:
0-470-09571-7, 978-0-470-09571-3


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