Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press 7/21/2014, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2007
ISBN 10: 0521857724 ISBN 13: 9780521857727
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Paperback. Condition: new. Paperback. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press CUP, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
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Published by Cambridge University Press 2014-10-16, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
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Add to basketPaperback. Condition: Brand New. 1st edition. 300 pages. 10.00x7.00x1.00 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Add to basketPaperback. Condition: new. Paperback. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Add to basketPaperback. Condition: new. Paperback. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Hardcover. Condition: new. Hardcover. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2014
ISBN 10: 1107611253 ISBN 13: 9781107611252
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Provides guidance and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.
Published by Cambridge University Press CUP, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 298.
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107028337 ISBN 13: 9781107028333
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of modeling count data, including a thorough presentation of the Poisson model. It then works up to an analysis of the problem of overdispersion and of the negative binomial model, and finally to the many variations that can be made to the base count models. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in health, ecology, econometrics, transportation, and other fields. Written for researchers with little or no background in advanced statistics, this book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models. Stata, R, and SAS code enable readers in a variety of disciplines to adapt models for their own purposes. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.