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Biometry for Forestry and Environmental Data
With Examples in R
Taschenbuch von Lauri Mehtätalo (u. a.)
Sprache: Englisch

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Beschreibung

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.

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.

Über den Autor

Lauri Mehtätalo (PhD in 2004 in Forest Sciences, University of Joensuu) is professor in applied statistics at the University of Eastern Finland and adjunct professor in forest biometrics at the University of Helsinki.

Juha Lappi (PhD in 1986 in Statistics, University of Helsinki) did his research career as a senior scientist at Finnish Forest Research Institute. His thesis and other publications thereafter were one of the very first applications of mixed-effects models in forest sciences.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2022
Fachbereich: Forstwirtschaft & Fischerei
Genre: Umwelt
Produktart: Nachschlagewerke
Rubrik: Ökologie
Medium: Taschenbuch
Seiten: 424
ISBN-13: 9780367508456
ISBN-10: 0367508451
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Mehtätalo, Lauri
Lappi, Juha
Hersteller: CRC Press
Maße: 254 x 178 x 22 mm
Von/Mit: Lauri Mehtätalo (u. a.)
Erscheinungsdatum: 29.04.2022
Gewicht: 0,73 kg
Artikel-ID: 126742447
Über den Autor

Lauri Mehtätalo (PhD in 2004 in Forest Sciences, University of Joensuu) is professor in applied statistics at the University of Eastern Finland and adjunct professor in forest biometrics at the University of Helsinki.

Juha Lappi (PhD in 1986 in Statistics, University of Helsinki) did his research career as a senior scientist at Finnish Forest Research Institute. His thesis and other publications thereafter were one of the very first applications of mixed-effects models in forest sciences.

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2022
Fachbereich: Forstwirtschaft & Fischerei
Genre: Umwelt
Produktart: Nachschlagewerke
Rubrik: Ökologie
Medium: Taschenbuch
Seiten: 424
ISBN-13: 9780367508456
ISBN-10: 0367508451
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Mehtätalo, Lauri
Lappi, Juha
Hersteller: CRC Press
Maße: 254 x 178 x 22 mm
Von/Mit: Lauri Mehtätalo (u. a.)
Erscheinungsdatum: 29.04.2022
Gewicht: 0,73 kg
Artikel-ID: 126742447
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