ANOVA and Mixed Models
portes grátis
ANOVA and Mixed Models
A Short Introduction Using R
Meier, Lukas
Taylor & Francis Ltd
11/2022
187
Mole
Inglês
9780367704209
15 a 20 dias
370
Descrição não disponível.
1. Learning from Data. 1.1. Cause-Effect Relationships. 1.2. Experimental Studies. 2. Completely Randomized Designs. 2.1. One-Way Analysis of Variance. 2.2. Checking Model Assumptions. 2.3. Nonparametric Approaches. 2.4. Power or "What Sample Size Do I Need?". 2.5. Adjusting for Covariates. 2.6. Appendix. 3. Contrasts and Multiple Testing. 3.1. Contrasts. 3.2. Multiple Testing. 4. Factorial Treatment Structure. 4.1. Introduction. 4.2. Two-Way ANOVA Model. 5. Complete Block Designs. 5.1. Introduction. 5.2. Randomized Complete Block Designs (RCBD). 5.3. Nonparametric Alternatives. 5.4. Outlook: Multiple Block Factors. 6. Random and Mixed Effects Models. 6.1. Random Effects Models. 7. Split-Plot Designs. 7.1. Introduction. 7.2. Properties of Split-Plot Designs. 7.3. A More Complex Example in Detail: Oat Varieties. 8. Incomplete Block Designs. 8.1. Introduction. 8.2. Balanced Incomplete Block Designs (BIBD). 8.3. Analysis of Incomplete Block Designs. 8.4. Outlook. 8.5. Concluding Remarks. Bibliography. Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
causal inference;analysis of variance;multiple testing;mixed effects;power;Experimental Units;Data Set;ANOVA Table;Factorial Treatment Structure;Interaction Plot;Block Factor;Row Column Designs;BIBD;Confidence Interval;Split Plot Designs;FWER;RCBD;Tukey HSD;IBD;Chocolate Type;Split Plot Factor;Simultaneous Confidence Intervals;Seatbelt Sign;Latin Square Design;Package Multcomp;Strawberry Variety;ANOVA Model;Group Ctrl;Subplot Level;Friedman Rank Sum Test
1. Learning from Data. 1.1. Cause-Effect Relationships. 1.2. Experimental Studies. 2. Completely Randomized Designs. 2.1. One-Way Analysis of Variance. 2.2. Checking Model Assumptions. 2.3. Nonparametric Approaches. 2.4. Power or "What Sample Size Do I Need?". 2.5. Adjusting for Covariates. 2.6. Appendix. 3. Contrasts and Multiple Testing. 3.1. Contrasts. 3.2. Multiple Testing. 4. Factorial Treatment Structure. 4.1. Introduction. 4.2. Two-Way ANOVA Model. 5. Complete Block Designs. 5.1. Introduction. 5.2. Randomized Complete Block Designs (RCBD). 5.3. Nonparametric Alternatives. 5.4. Outlook: Multiple Block Factors. 6. Random and Mixed Effects Models. 6.1. Random Effects Models. 7. Split-Plot Designs. 7.1. Introduction. 7.2. Properties of Split-Plot Designs. 7.3. A More Complex Example in Detail: Oat Varieties. 8. Incomplete Block Designs. 8.1. Introduction. 8.2. Balanced Incomplete Block Designs (BIBD). 8.3. Analysis of Incomplete Block Designs. 8.4. Outlook. 8.5. Concluding Remarks. Bibliography. Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
causal inference;analysis of variance;multiple testing;mixed effects;power;Experimental Units;Data Set;ANOVA Table;Factorial Treatment Structure;Interaction Plot;Block Factor;Row Column Designs;BIBD;Confidence Interval;Split Plot Designs;FWER;RCBD;Tukey HSD;IBD;Chocolate Type;Split Plot Factor;Simultaneous Confidence Intervals;Seatbelt Sign;Latin Square Design;Package Multcomp;Strawberry Variety;ANOVA Model;Group Ctrl;Subplot Level;Friedman Rank Sum Test
