ISBN: 9781584888345 - biostatistics: a computing approach (16 risultati)

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.…

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: 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. . . . . …

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condizione: 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.…

Condizione: New. pp. 326.

Condizione: New. pp. 326.

Condizione: 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. . . . . Books ship from the US and Ireland. …

Condizione: New. Stewart AndersonThe 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 dat.

Paperback. Condizione: Brand New. 1st edition. 416 pages. 9.29x6.14x0.79 inches. In Stock.

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

Condizione: New. pp. 326 65 Illus. This item is printed on demand.