Mehtätalo, Lauri,
Biometry for forestry and environmental data with examples in R / Lauri Mehtätalo and Juha Lappi. - 1 online resource (xiv, 412 pages). - Chapman & Hall/CRC applied environmental statistics .
"A Chapman & Hall Book."
1. Introduction 2. Random Variables 3. Statistical Modeling, Estimation and Prediction 4. Linear Model 5. Linear Mixed-effects Models 6. More about Linear Mixed-effects Models 7. Nonlinear (Mixed-effects) Models 8. Generalized Linear (Mixed-Effects) Models 9. Multivariate (Mixed-Effects) Models 10. Additional topics on regression 11. Modeling Tree Size 12. Taper Curves 13. Measurement Errors 14. Forest and Environmental Experiments
Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.
9780429173462 0429173466 9780429545474 0429545479 9781498711494 1498711499 9780429530777 0429530773
Forests and forestry--Statistical methods.
Biometry.
R (Computer program language)
MATHEMATICS / Probability & Statistics / General
NATURE / Environmental Conservation & Protection
TECHNOLOGY / Agriculture / Forestry
SD387.B53
577.3072
Biometry for forestry and environmental data with examples in R / Lauri Mehtätalo and Juha Lappi. - 1 online resource (xiv, 412 pages). - Chapman & Hall/CRC applied environmental statistics .
"A Chapman & Hall Book."
1. Introduction 2. Random Variables 3. Statistical Modeling, Estimation and Prediction 4. Linear Model 5. Linear Mixed-effects Models 6. More about Linear Mixed-effects Models 7. Nonlinear (Mixed-effects) Models 8. Generalized Linear (Mixed-Effects) Models 9. Multivariate (Mixed-Effects) Models 10. Additional topics on regression 11. Modeling Tree Size 12. Taper Curves 13. Measurement Errors 14. Forest and Environmental Experiments
Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.
9780429173462 0429173466 9780429545474 0429545479 9781498711494 1498711499 9780429530777 0429530773
Forests and forestry--Statistical methods.
Biometry.
R (Computer program language)
MATHEMATICS / Probability & Statistics / General
NATURE / Environmental Conservation & Protection
TECHNOLOGY / Agriculture / Forestry
SD387.B53
577.3072