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- Part 1: The Conceptual Basis For Fitting Statistical Models
- 1: General introduction
- 2: Statistical modeling: a short historical background
- 3: Estimating parameters: the main purpose of statistical inference
- Part II: Applying The Generalized Linear Model to Varied Data Types
- 4: The General Linear Model I: numerical explanatory variables
- 5: The General Linear Model II: categorical explanatory variables
- 6: The General Linear Model III: interactions between explanatory variables
- 7: Model selection: one, two, and more models fitted to the data
- 8: The Generalized Linear Model
- 9: When the response variable is binary
- 10: When the response variables are counts, often with many zeros
- 11: Further issues involved in the modeling of counts
- 12: Models for positive real-valued response variables: proportions and others
- Part III: Incorporating Experimental and Survey Design Using Mixed Models
- 13: Accounting for structure in mixed/hierachical structures
- 14: Experimental design in the life sciences - the basics
- 15: Mixed-hierachical models and experimental design data
- Afterword
- R packages used in the book
- Appendix 1: Using R and RStudio: the basics (only available online at [...]
- Appendix 2: Exploring and describing the evidence in graphics (only available online at [...]
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 480 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780192859020 |
| ISBN-10: | 0192859021 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Inchausti, Pablo |
| Hersteller: | Oxford University Press |
| Maße: | 244 x 190 x 26 mm |
| Von/Mit: | Pablo Inchausti |
| Erscheinungsdatum: | 02.11.2022 |
| Gewicht: | 1,074 kg |
- Part 1: The Conceptual Basis For Fitting Statistical Models
- 1: General introduction
- 2: Statistical modeling: a short historical background
- 3: Estimating parameters: the main purpose of statistical inference
- Part II: Applying The Generalized Linear Model to Varied Data Types
- 4: The General Linear Model I: numerical explanatory variables
- 5: The General Linear Model II: categorical explanatory variables
- 6: The General Linear Model III: interactions between explanatory variables
- 7: Model selection: one, two, and more models fitted to the data
- 8: The Generalized Linear Model
- 9: When the response variable is binary
- 10: When the response variables are counts, often with many zeros
- 11: Further issues involved in the modeling of counts
- 12: Models for positive real-valued response variables: proportions and others
- Part III: Incorporating Experimental and Survey Design Using Mixed Models
- 13: Accounting for structure in mixed/hierachical structures
- 14: Experimental design in the life sciences - the basics
- 15: Mixed-hierachical models and experimental design data
- Afterword
- R packages used in the book
- Appendix 1: Using R and RStudio: the basics (only available online at [...]
- Appendix 2: Exploring and describing the evidence in graphics (only available online at [...]
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 480 |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780192859020 |
| ISBN-10: | 0192859021 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Inchausti, Pablo |
| Hersteller: | Oxford University Press |
| Maße: | 244 x 190 x 26 mm |
| Von/Mit: | Pablo Inchausti |
| Erscheinungsdatum: | 02.11.2022 |
| Gewicht: | 1,074 kg |
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