Randomization, bootstrap and Monte Carlo methods in biology / Bryan F.J. Manly

By: Manly, Bryan F.JMaterial type: TextTextSeries: Texts in statistical sciencePublication details: Boca Raton : Chapman & Hall, 2007 Edition: 3rd ed.Description: 455 p. : tablas ; 24 cmISBN: 1-58488-541-6Subject(s): BiometríaSummary: Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology. Etc...
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Fondo perdido 02. BIBLIOTECA CAMPUS PUERTO REAL
519.245/MAN/ran (Browse shelf(Opens below)) Texto completo Not for loan 374265098X
Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
519.245/MAN/ran (Browse shelf(Opens below)) Texto completo Available   Shelving location | Bibliomaps® 374274229X
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Bibliografía: p. [385]-433

Modern computer-intensive statistical methods play a key role in solving many problems across a wide range of scientific disciplines. This new edition of the bestselling Randomization, Bootstrap and Monte Carlo Methods in Biology illustrates the value of a number of these methods with an emphasis on biological applications. This textbook focuses on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference. The author emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, the book shows how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. New to the Third Edition Updated information on regression and time series analysis, multivariate methods, survival and growth data as well as software for computational statistics References that reflect recent developments in methodology and computing techniques Additional references on new applications of computer-intensive methods in biology Providing comprehensive coverage of computer-intensive applications while also offering data sets online, Randomization, Bootstrap and Monte Carlo Methods in Biology. Etc...

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