The Resource Modern statistics for the life sciences, Alan Grafen, Rosie Hails
Modern statistics for the life sciences, Alan Grafen, Rosie Hails
Resource Information
The item Modern statistics for the life sciences, Alan Grafen, Rosie Hails represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Modern statistics for the life sciences, Alan Grafen, Rosie Hails represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Extent
- xv, 351 p.
- Contents
-
- Why use this book
- 1.
- introduction to analysis of variance.
- p. 1
- 2.
- Regression.
- p. 22
- 3.
- Models, parameters and GLMs.
- p. 47
- 4.
- Using more than one explanatory variable.
- p. 56
- 5.
- Designing experiments - keeping it simple.
- p. 76
- 6.
- Combining continuous and categorical variables.
- p. 96
- 7.
- Interactions - getting more complex.
- p. 110
- 8.
- Checking the models I: independence.
- p. 136
- 9.
- Checking the models II: the other three asumptions.
- p. 153
- 10.
- Model selection I: principles of model choice and designed experiments.
- p. 186
- 11.
- Model selection II: datasets with several explanatory variables.
- p. 209
- 12.
- Random effects.
- p. 232
- 13.
- Categorical data.
- p. 255
- 14.
- What lies beyond?.
- p. 281
- 15.
- Answers to exercises.
- p. 285
- App. 1.
- meaning of p-values and confidence intervals.
- p. 332
- App. 2.
- Analytical results about variances and sample means.
- p. 335
- App. 3.
- Probability distributions.
- p. 339
- Bibliography.
- p. 343
- Index.
- p. 345
- Isbn
- 9780199252312
- Label
- Modern statistics for the life sciences
- Title
- Modern statistics for the life sciences
- Statement of responsibility
- Alan Grafen, Rosie Hails
- Language
- eng
- Cataloging source
- UKM
- http://library.link/vocab/creatorName
- Grafen, Alan.
- Illustrations
- illustrations
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Hails, Rosemary.
- http://library.link/vocab/subjectName
-
- Mathematical statistics
- Life sciences
- Label
- Modern statistics for the life sciences, Alan Grafen, Rosie Hails
- Bibliography note
- Includes bibliographical references and index
- Contents
-
- Why use this book
- 1.
- introduction to analysis of variance.
- p. 1
- 2.
- Regression.
- p. 22
- 3.
- Models, parameters and GLMs.
- p. 47
- 4.
- Using more than one explanatory variable.
- p. 56
- 5.
- Designing experiments - keeping it simple.
- p. 76
- 6.
- Combining continuous and categorical variables.
- p. 96
- 7.
- Interactions - getting more complex.
- p. 110
- 8.
- Checking the models I: independence.
- p. 136
- 9.
- Checking the models II: the other three asumptions.
- p. 153
- 10.
- Model selection I: principles of model choice and designed experiments.
- p. 186
- 11.
- Model selection II: datasets with several explanatory variables.
- p. 209
- 12.
- Random effects.
- p. 232
- 13.
- Categorical data.
- p. 255
- 14.
- What lies beyond?.
- p. 281
- 15.
- Answers to exercises.
- p. 285
- App. 1.
- meaning of p-values and confidence intervals.
- p. 332
- App. 2.
- Analytical results about variances and sample means.
- p. 335
- App. 3.
- Probability distributions.
- p. 339
- Bibliography.
- p. 343
- Index.
- p. 345
- Control code
- ocm48754026
- Dimensions
- 25 cm.
- Extent
- xv, 351 p.
- Isbn
- 9780199252312
- Lccn
- 2002283238
- Other physical details
- ill.
- Label
- Modern statistics for the life sciences, Alan Grafen, Rosie Hails
- Bibliography note
- Includes bibliographical references and index
- Contents
-
- Why use this book
- 1.
- introduction to analysis of variance.
- p. 1
- 2.
- Regression.
- p. 22
- 3.
- Models, parameters and GLMs.
- p. 47
- 4.
- Using more than one explanatory variable.
- p. 56
- 5.
- Designing experiments - keeping it simple.
- p. 76
- 6.
- Combining continuous and categorical variables.
- p. 96
- 7.
- Interactions - getting more complex.
- p. 110
- 8.
- Checking the models I: independence.
- p. 136
- 9.
- Checking the models II: the other three asumptions.
- p. 153
- 10.
- Model selection I: principles of model choice and designed experiments.
- p. 186
- 11.
- Model selection II: datasets with several explanatory variables.
- p. 209
- 12.
- Random effects.
- p. 232
- 13.
- Categorical data.
- p. 255
- 14.
- What lies beyond?.
- p. 281
- 15.
- Answers to exercises.
- p. 285
- App. 1.
- meaning of p-values and confidence intervals.
- p. 332
- App. 2.
- Analytical results about variances and sample means.
- p. 335
- App. 3.
- Probability distributions.
- p. 339
- Bibliography.
- p. 343
- Index.
- p. 345
- Control code
- ocm48754026
- Dimensions
- 25 cm.
- Extent
- xv, 351 p.
- Isbn
- 9780199252312
- Lccn
- 2002283238
- Other physical details
- ill.
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Modern-statistics-for-the-life-sciences-Alan/Gc8IeJmFxuY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Modern-statistics-for-the-life-sciences-Alan/Gc8IeJmFxuY/">Modern statistics for the life sciences, Alan Grafen, Rosie Hails</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
