000			01400nam a22001817a 4500
999			_c21539 _d21539
005			20220622153532.0
008			220622b ||||| |||| 00| 0 eng d
020			_a9781108727341 (pbk)
040			_cUE-CL
082			_a570.1519 _bL559
100			_aLeps, Jan
245			_aBiostatistics with R : an introductory guide for field biologists _c/ Jan Leps & Petr Smilauer
260			_aUK : _bCambridge University Press, _c2020
300			_a365 p.
650			_aBiology--Biometry--R (Computer program language)
942			_cBK
505	0		_a1. 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