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Beschreibung
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, [...] 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.
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, [...] 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.
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, [...] 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.
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, [...] 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.
Über den Autor
Degrees in Experimental Psychology, Economics and Zoology have exposed Professor Alan Grafen to various different statistical traditions, and also to his main research interest in how adaptive complexity arises through natural selection. He has been interested in statistics since he was an undergraduate, learned mathematical theory of statistics as a graduate student, and encountered modern statistics in the package GLIM as a research student. The impetus to produce a systematic introduction for undergraduates to model formulae and the General Linear Model came from his appointment in 1989 to a lectureship in Quantitative Biology at Oxford University.
Degrees in Zoology, Pest Management and Population Dynamics led Dr Rosie Hails toward the more quantitative areas of ecology. Most of her research career has developed the theme of the potential impacts of biological invasions, with reference to both natural invasions and genetically modified organisms. In the early 1990s, she was involved in the first experiments monitoring the behaviour and population dynamics of transgenic plants in natural habitats across the UK with Professor Mick Crawley. More recently, at the NERC Centre for Ecology and Hydrology in Oxford, her research themes have included the dynamics of wildlife diseases as well as plants. In moving to Oxford, Dr Hails became involved in teaching Professor Alan Grafen's undergraduate course, principally through a position at St Anne's College.
Degrees in Zoology, Pest Management and Population Dynamics led Dr Rosie Hails toward the more quantitative areas of ecology. Most of her research career has developed the theme of the potential impacts of biological invasions, with reference to both natural invasions and genetically modified organisms. In the early 1990s, she was involved in the first experiments monitoring the behaviour and population dynamics of transgenic plants in natural habitats across the UK with Professor Mick Crawley. More recently, at the NERC Centre for Ecology and Hydrology in Oxford, her research themes have included the dynamics of wildlife diseases as well as plants. In moving to Oxford, Dr Hails became involved in teaching Professor Alan Grafen's undergraduate course, principally through a position at St Anne's College.
Inhaltsverzeichnis
- Why use this book
- 1: An introduction to the analysis of variance
- 2: Regression
- 3: Models, parameters and GLMs
- 4: Using more than one explanatory variable
- 5: Designing experiments - keeping it simple
- 6: Combining continuous and categorical variables
- 7: Interactions - getting more complex
- 8: Checking the models A: Independence
- 9: Checking the models B: The other three assumptions
- 10: Model selection I: Principles of model choice and designed experiments
- 11: Model selection II: Data sets with several explanatory variables
- 12: Random effects
- 13: Categorical data
- 14: What lies beyond?
- Answers to exercises
- Revision section: The basics
- Appendix I: The meaning of p-values and confidence intervals
- Appendix II: Analytical results about variances of sample means
- Appendix III: Probability distributions
- Bibliography
Details
| Erscheinungsjahr: | 2002 |
|---|---|
| Genre: | Importe, Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780199252312 |
| ISBN-10: | 0199252319 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Grafen, Alan
Hails, Rosie S. |
| Hersteller: | Oxford University Press |
| Verantwortliche Person für die EU: | Deutsche Bibelgesellschaft, Postfach:81 03 40, D-70567 Stuttgart, vertrieb@dbg.de |
| Maße: | 244 x 172 x 27 mm |
| Von/Mit: | Alan Grafen (u. a.) |
| Erscheinungsdatum: | 21.03.2002 |
| Gewicht: | 0,614 kg |
Über den Autor
Degrees in Experimental Psychology, Economics and Zoology have exposed Professor Alan Grafen to various different statistical traditions, and also to his main research interest in how adaptive complexity arises through natural selection. He has been interested in statistics since he was an undergraduate, learned mathematical theory of statistics as a graduate student, and encountered modern statistics in the package GLIM as a research student. The impetus to produce a systematic introduction for undergraduates to model formulae and the General Linear Model came from his appointment in 1989 to a lectureship in Quantitative Biology at Oxford University.
Degrees in Zoology, Pest Management and Population Dynamics led Dr Rosie Hails toward the more quantitative areas of ecology. Most of her research career has developed the theme of the potential impacts of biological invasions, with reference to both natural invasions and genetically modified organisms. In the early 1990s, she was involved in the first experiments monitoring the behaviour and population dynamics of transgenic plants in natural habitats across the UK with Professor Mick Crawley. More recently, at the NERC Centre for Ecology and Hydrology in Oxford, her research themes have included the dynamics of wildlife diseases as well as plants. In moving to Oxford, Dr Hails became involved in teaching Professor Alan Grafen's undergraduate course, principally through a position at St Anne's College.
Degrees in Zoology, Pest Management and Population Dynamics led Dr Rosie Hails toward the more quantitative areas of ecology. Most of her research career has developed the theme of the potential impacts of biological invasions, with reference to both natural invasions and genetically modified organisms. In the early 1990s, she was involved in the first experiments monitoring the behaviour and population dynamics of transgenic plants in natural habitats across the UK with Professor Mick Crawley. More recently, at the NERC Centre for Ecology and Hydrology in Oxford, her research themes have included the dynamics of wildlife diseases as well as plants. In moving to Oxford, Dr Hails became involved in teaching Professor Alan Grafen's undergraduate course, principally through a position at St Anne's College.
Inhaltsverzeichnis
- Why use this book
- 1: An introduction to the analysis of variance
- 2: Regression
- 3: Models, parameters and GLMs
- 4: Using more than one explanatory variable
- 5: Designing experiments - keeping it simple
- 6: Combining continuous and categorical variables
- 7: Interactions - getting more complex
- 8: Checking the models A: Independence
- 9: Checking the models B: The other three assumptions
- 10: Model selection I: Principles of model choice and designed experiments
- 11: Model selection II: Data sets with several explanatory variables
- 12: Random effects
- 13: Categorical data
- 14: What lies beyond?
- Answers to exercises
- Revision section: The basics
- Appendix I: The meaning of p-values and confidence intervals
- Appendix II: Analytical results about variances of sample means
- Appendix III: Probability distributions
- Bibliography
Details
| Erscheinungsjahr: | 2002 |
|---|---|
| Genre: | Importe, Technik allg. |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780199252312 |
| ISBN-10: | 0199252319 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Grafen, Alan
Hails, Rosie S. |
| Hersteller: | Oxford University Press |
| Verantwortliche Person für die EU: | Deutsche Bibelgesellschaft, Postfach:81 03 40, D-70567 Stuttgart, vertrieb@dbg.de |
| Maße: | 244 x 172 x 27 mm |
| Von/Mit: | Alan Grafen (u. a.) |
| Erscheinungsdatum: | 21.03.2002 |
| Gewicht: | 0,614 kg |
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