Artículos relacionados a Guide to Multiple Regression
Sinopsis
This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.
Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.
Features
- Focused summaries of the main statistical methods, followed by solved questions
- Integration of R as a calculator, and as a programming language in solving each question with ease and accuracy
- Use of simple coding that illustrates the connection to the theory
- Suggest progressively alternative codes
- Visualization and interpretation of the R outputs
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Samia Challal is an associate professor at Glendon College; the bilingual campus of York University. She teaches courses in Analysis, Algebra, and Statistics. Her research draws on partial differential equations applied to fluid dynamics, optimization, homogenization problems, and mathematics education. She received her PhD from the University of Metz, France.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Guide to Multiple Regression
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Chapman and Hall/CRC, 2025
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ISBN 13: 9781041018919
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ISBN 13: 9781041018919
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Hardcover. Condición: new. Hardcover. This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.FeaturesFocused summaries of the main statistical methods, followed by solved questionsIntegration of R as a calculator, and as a programming language in solving each question with ease and accuracyUse of simple coding that illustrates the connection to the theorySuggest progressively alternative codesVisualization and interpretation of the R outputs This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R programming language. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781041018919
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Guide to Multiple Regression
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ISBN 13: 9781041018919
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Guide to Multiple Regression (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2025
ISBN 10: 1041018916
ISBN 13: 9781041018919
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Hardcover. Condición: new. Hardcover. This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.FeaturesFocused summaries of the main statistical methods, followed by solved questionsIntegration of R as a calculator, and as a programming language in solving each question with ease and accuracyUse of simple coding that illustrates the connection to the theorySuggest progressively alternative codesVisualization and interpretation of the R outputs This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R programming language. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781041018919
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Imagen de archivo
Guide to Multiple Regression
Publicado por
Chapman and Hall/CRC, 2025
ISBN 10: 1041018916
ISBN 13: 9781041018919
Antiguo o usado
Tapa dura
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 51270803
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