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Modern Statistics for the Life Sciences by Grafen, Alan
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Modern Statistics for the Life Sciences by Grafen, Alan

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    Book Title
    Modern Statistics for the Life Sciences
    ISBN
    9780199252312
    Kategorie

    Über dieses Produkt

    Product Identifiers

    Publisher
    Oxford University Press, Incorporated
    ISBN-10
    0199252319
    ISBN-13
    9780199252312
    eBay Product ID (ePID)
    2239423

    Product Key Features

    Number of Pages
    368 Pages
    Language
    English
    Publication Name
    Modern Statistics for the Life Sciences
    Publication Year
    2002
    Subject
    Probability & Statistics / General, Life Sciences / General, General, Life Sciences / Biology
    Type
    Textbook
    Author
    Alan Grafen, Rosie Hails
    Subject Area
    Mathematics, Science
    Format
    Trade Paperback

    Dimensions

    Item Height
    0.8 in
    Item Weight
    22.8 Oz
    Item Length
    9.7 in
    Item Width
    6.7 in

    Additional Product Features

    Intended Audience
    College Audience
    LCCN
    2002-283238
    Dewey Edition
    21
    Reviews
    'The book is well laid out and concepts are very well explained by making effective use of diagrams and geometric representations. There are many analyses of example data sets to ilustrate the application the methods and the interpretation of the output'. Biometrics 59, 200-209, March2003., "Grafen and Hails have written a very nice book...many examples also serveto highlight design or analysis errors that are commonly made and encourageconstructive critism: learning from mistakes is, I think, a very powerfulapproach." Animal Behaviour 2003, 'The book is well laid out and concepts are very well explained by making effective use of diagrams and geometric representations. There are many analyses of example data sets to ilustrate the application the methods and the interpretation of the output'. Biometrics 59, 200-209, March 2003."it is a stepping-stone between one's first statistics course and what one really needs as a professional biologist. That said, it is the best stepping-stone on the market". Trends in Ecology and Evolution, 2003."Grafen and Hails have written a very nice book...many examples also serve to highlight design or analysis errors that are commonly made and encourage constructive critism: learning from mistakes is, I think, a very powerful approach." Animal Behaviour 2003, "Grafen and Hails have written a very nice book...many examples also serve to highlight design or analysis errors that are commonly made and encourage constructive critism: learning from mistakes is, I think, a very powerful approach." Animal Behaviour 2003, "it is a stepping-stone between one's first statistics course and what one really needs as a professional biologist. That said, it is the best stepping-stone on the market". Trends in Ecology and Evolution, 2003.
    Illustrated
    Yes
    Dewey Decimal
    570.7/24
    Table Of Content
    Why use this book1. An introduction to the analysis of variance2. Regression3. Models, parameters and GLMs4. Using more than one explanatory variable5. Designing experiments - keeping it simple6. Combining continuous and categorical variables7. Interactions - getting more complex8. Checking the models A: Independence9. Checking the models B: The other three assumptions10. Model selection I: Principles of model choice and designed experiments11. Model selection II: Data sets with several explanatory variables12. Random effects13. Categorical data14. What lies beyond?Answers to exercisesRevision section: The basicsAppendix I: The meaning of p-values and confidence intervalsAppendix II: Analytical results about variances of sample meansAppendix III: Probability distributionsBibliographyWhy use this book1. An introduction to the analysis of variance2. Regression3. Models, parameters and GLMs4. Using more than one explanatory variable5. Designing experiments - keeping it simple6. Combining continuous and categorical variables7. Interactions - getting more complex8. Checking the models A: Independence9. Checking the models B: The other three assumptions10. Model selection I: Principles of model choice and designed experiments11. Model selection II: Data sets with several explanatory variables12. Random effects13. Categorical data14. What lies beyond?Answers to exercisesRevision section: The basicsAppendix I: The meaning of p-values and confidence intervalsAppendix II: Analytical results about variances of sample meansAppendix III: Probability distributionsBibliography
    Synopsis
    This textbook teaches statistics in a different way. It is aimed at undergraduate students in the life sciences, and it will also be invaluable for many graduate students. It makes the powerful methods of model formulae and the General Linear Model accessible to undergraduates for the first time. The computer revolution has finally made it possible to teach life sciences undergraduates how to use the statistics they really need to know - this book provides the course materials needed to fulfil that possibility. This text presents the fundamental statistical concepts without being tied to any one statistical package., This textbook teaches statistics in a different way. It is aimed at undergraduate students in the life sciences, and will also be invaluable for many graduate students. It makes the powerful methods of model formulae and the General Linear Model accessible to undergraduates for the first time. The computer revolution has finally made it possible to teach life sciences undergraduates how to use the statistics they really need to know - this book provides the course materials needed to fulfil that possibility., Model formulae represent a powerful methodology for describing, discussing, understanding, and performing the component of statistical tests known as linear statistics. It was developed for professional statisticians in the 1960s and has become increasingly available as the use of computers has grown and software has advanced. Modern Statistics for Life Scientists puts this methodology firmly within the grasp of undergraduates for the first time. The authors assume a basic knowledge of statistics--up to and including one and two sample t-tests and their non-parametric equivalents. They provide the conceptual framework needed to understand what the method does--but without mathematical proofs--and introduce the ideas in a simple and steady progression with worked examples and exercises at every stage. This innovative text offers students a single conceptual framework for a wide range of tests-including t-tests, oneway and multiway analysis of variance, linear and polynomial regressions, and analysis of covariance-that are usually introduced separately. More importantly, it gives students a language in which they can frame questions and communicate with the computers that perform the analyses. A companion website, www.oup.com/grafenhails, provides a wealth of worked exercises in the three statistical languages; Minitab, SAS, and SPSS. Appropriate for use in statistics courses at undergraduate and graduate levels, Modern Statistics for the Life Sciences is also a helpful resource for students in non-mathematics-based disciplines using statistics, such as geography, psychology, epidemiology, and ecology.
    LC Classification Number
    QA276.G7125 2002

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