The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding.
As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work.
Suitable for students who have an interest in the application of statistical methods but do not necessarily intend to become statisticians, this book has been developed from Introduction to Biostatistics II, which the author taught for more than a decade at the University of Pittsburgh.
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Stewart Anderson
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Librería: Andrew Isles Natural History Books, Prahran, VIC, Australia
Octavo, laminated boards,326 pp.,black and white illustrations, tables. The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching by example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work. Nº de ref. del artículo: 35420
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. Focusing on visualization and computational approaches with an emphasis on the importance of simulation, this work introduces modern and classical biostatistical methods and compares their usefulness. It covers topics in biostatistical science, including simple linear regression, multivariate regression, repeated measure and sample size. Series Editor(s): Chatfield, Chris; Carlin, Bradley P.; Tanner, Martin Abba; Zidek, James V. Series: Chapman & Hall/CRC Biostatistics Series. Num Pages: 326 pages, 65 black & white illustrations, 7 black & white tables. BIC Classification: PS. Category: (UU) Undergraduate. Dimension: 163 x 240 x 21. Weight in Grams: 586. . 2012. Hardback. . . . . Nº de ref. del artículo: V9781584888345
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. Hardcover. The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization and computational approaches associated with both modern and classical techniques. Furthermore, it promotes computing as a tool for performing both analyses and simulations that can facilitate such understanding. As a practical matter, programs in R and SAS are presented throughout the text. In addition to these programs, appendices describing the basic use of SAS and R are provided. Teaching via example, this book emphasizes the importance of simulation and numerical exploration in a modern-day statistical investigation. A few statistical methods that can be implemented with simple calculations are also worked into the text to build insight about how the methods really work.Suitable for students who have an interest in the application of statistical methods but do not necessarily intend to become statisticians, this book has been developed from Introduction to Biostatistics II, which the author taught for more than a decade at the University of Pittsburgh. Focusing on visualization and computational approaches with an emphasis on the importance of simulation, this work introduces modern and classical biostatistical methods and compares their usefulness. It covers topics in biostatistical science, including simple linear regression, multivariate regression, repeated measure and sample size. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781584888345
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Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. pp. 326 65 Illus. This item is printed on demand. Nº de ref. del artículo: 6625660
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 5100524
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Condición: New. Nº de ref. del artículo: 5100524-n
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Hardback. Condición: New. New copy - Usually dispatched within 4 working days. Nº de ref. del artículo: B9781584888345
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Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 326. Nº de ref. del artículo: 261222307
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