Biostatistics with R : an introductory guide for field biologists / Jan Leps & Petr Smilauer
Material type: TextPublication details: UK : Cambridge University Press, 2020Description: 365 pISBN:- 9781108727341 (pbk)
- 570.1519 L559
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Books | UE-Central Library | 570.1519 L559 (Browse shelf(Opens below)) | Available | T16460 | ||
Books | UE-Central Library | 570.1519 L559 (Browse shelf(Opens below)) | Available | T16461 | ||
Books | UE-Central Library | 570.1519 L559 (Browse shelf(Opens below)) | Available | T16462 |
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570.071 V82 Techniques of teaching biology | 570.1 Q443 Experimental design and data analysis for biologists | 570.1519 L559 Biostatistics with R : an introductory guide for field biologists | 570.1519 L559 Biostatistics with R : an introductory guide for field biologists | 570.1519 L559 Biostatistics with R : an introductory guide for field biologists | 570.15195 P131 Principles of biostatistics / | 570.15195 P131 Principles of biostatistics / |
1. Basic statistical terms, sample statistics
2. Testing hypotheses, goodness of fit test
3. Contingency tables
4. Normal distribution
5. Student’s t distribution
6. Comparing two samples
7. Non-parametric methods for two samples
8. Oneway analysis of variance (ANOVA) and Kruskal-Wallis test
9. Two-way analysis of variance
10. Data transformations for analysis of variance
11. Hierarchical ANOVA, split-plot ANOVA, repeated measurements
12. Simple linear regression: dependency between two quantitative varaibles
13. Correlation: relationship between two quantitative variables
14. Multiple regression and general linear models
15. Generalized linear models
16. Regression models for non-linear relationships
17. Structural equation models
18. Discrete distribution and spatial point patterns
19. Survival analysis
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