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Idioma: Inglés
Publicado por Chapman and Hall/CRC (edition 1), 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
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Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
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Añadir al carritoCondición: New. pp. 624.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
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Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoHardback. Condición: New. Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to: Make an appropriate design choice based on the objectives of a research project Create a design and perform an experimentInterpret the results of computer data analysisThe book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author's website, enabling students to duplicate all the designs and data analysis.Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data.
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Añadir al carritoHardcover. Condición: Brand New. 596 pages. 9.49x6.34x1.02 inches. In Stock.
Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoHardback. Condición: New. Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to: Make an appropriate design choice based on the objectives of a research project Create a design and perform an experimentInterpret the results of computer data analysisThe book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author's website, enabling students to duplicate all the designs and data analysis.Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Chapman And Hall/CRC Dez 2014, 2014
ISBN 10: 1439868131 ISBN 13: 9781439868133
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 153,00
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to:Make an appropriate design choice based on the objectives of a research project Create a design and perform an experimentInterpret the results of computer data analysisThe book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author's website, enabling students to duplicate all the designs and data analysis.Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data. 630 pp. Englisch.
Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. John Lawson is a professor in the Department of Statistics at Brigham Young University.Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts com.
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results.Drawing on his many years of working in the pharmaceutical, agricultural, industrial chemicals, and machinery industries, the author teaches students how to:Make an appropriate design choice based on the objectives of a research project Create a design and perform an experimentInterpret the results of computer data analysisThe book emphasizes the connection among the experimental units, the way treatments are randomized to experimental units, and the proper error term for data analysis. R code is used to create and analyze all the example experiments. The code examples from the text are available for download on the author's website, enabling students to duplicate all the designs and data analysis.Intended for a one-semester or two-quarter course on experimental design, this text covers classical ideas in experimental design as well as the latest research topics. It gives students practical guidance on using R to analyze experimental data.