Biometry for Forestry and Environmental Data
portes grátis
Biometry for Forestry and Environmental Data
With Examples in R
Mehtaetalo, Lauri; Lappi, Juha
Taylor & Francis Ltd
04/2022
424
Mole
Inglês
9780367508456
15 a 20 dias
811
Descrição não disponível.
1. Introduction 2. Random Variables 3. Statistical Modeling, Estimation and Prediction 4. Linear Model 5. Linear Mixed-effects Models 6. More about Linear Mixed-eff?ects Models 7. Nonlinear (Mixed-eff?ects) Models 8. Generalized Linear (Mixed-E?ffects) Models 9. Multivariate (Mixed-Eff?ects) Models 10. Additional topics on regression 11. Modeling Tree Size 12. Taper Curves 13. Measurement Errors 14. Forest and Environmental Experiments
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
OLS Regression;forestry;OLS Slope;tree size modeling;Mixed Effects Model;mensuration;Linear Mixed Effects Model;environmental sampling;Stump Diameter;agroforestry;Tree Parameter Estimate;multivariate models;Taper Curves;non-statisticians;Data Set;biometry;Spruce Saplings;forestry and environmental data;Tree Diameter;random variables;Random Intercept;Prediction Interval;Nonlinear Mixed Effects Model;Residual Standard Error;Generalized Linear Mixed Effect Models;Variance Covariance Structure;Residual Errors;Distribution Function;GLS Model;Measurement Error Variance;Multivariate Mixed Effects Models;Diameter Distribution;Random Regressors;OLS Model;Cross-model Correlation
1. Introduction 2. Random Variables 3. Statistical Modeling, Estimation and Prediction 4. Linear Model 5. Linear Mixed-effects Models 6. More about Linear Mixed-eff?ects Models 7. Nonlinear (Mixed-eff?ects) Models 8. Generalized Linear (Mixed-E?ffects) Models 9. Multivariate (Mixed-Eff?ects) Models 10. Additional topics on regression 11. Modeling Tree Size 12. Taper Curves 13. Measurement Errors 14. Forest and Environmental Experiments
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
OLS Regression;forestry;OLS Slope;tree size modeling;Mixed Effects Model;mensuration;Linear Mixed Effects Model;environmental sampling;Stump Diameter;agroforestry;Tree Parameter Estimate;multivariate models;Taper Curves;non-statisticians;Data Set;biometry;Spruce Saplings;forestry and environmental data;Tree Diameter;random variables;Random Intercept;Prediction Interval;Nonlinear Mixed Effects Model;Residual Standard Error;Generalized Linear Mixed Effect Models;Variance Covariance Structure;Residual Errors;Distribution Function;GLS Model;Measurement Error Variance;Multivariate Mixed Effects Models;Diameter Distribution;Random Regressors;OLS Model;Cross-model Correlation
