ISBN: 9781041018919 - guide to multiple regression (26 risultati)

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Hardback. Condizione: New. 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.…

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Condizione: New. 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, optimiza.

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Hardback. Condizione: New. 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.…

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Hardcover. Condizione: 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.…

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Hardcover. Condizione: 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.…

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Hardcover. Condizione: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Buch. Condizione: Neu. Guide to Multiple Regression | Samia Challal | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781041018919 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…