03851cam a2200589Ii 4500 9780429173462 FlBoTFG 20260210180756.0 m o d cr cnu|||unuuu 200615s2020 flu ob 000 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429173462 (electronic bk.) 0429173466 (electronic bk.) 9780429545474 (electronic bk. : Mobipocket) 0429545479 (electronic bk. : Mobipocket) 9781498711494 (electronic bk. : PDF) 1498711499 (electronic bk. : PDF) 9780429530777 (electronic bk. : EPUB) 0429530773 (electronic bk. : EPUB) 9781498711487 9780367508456 (OCoLC)1158313785 (OCoLC-P)1158313785 SD387.B53 MAT 029000 bisacsh NAT 011000 bisacsh TEC 003040 bisacsh TVR bicssc 577.3072 23 Mehtätalo, Lauri, author. Biometry for forestry and environmental data with examples in R / Lauri Mehtätalo and Juha Lappi. Boca Raton, FL : CRC Press, 2020. 1 online resource (xiv, 412 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. OCLC-licensed vendor bibliographic record. Forests and forestry Statistical methods. Biometry. 5212 R (Computer program language) MATHEMATICS / Probability & Statistics / General bisacsh NATURE / Environmental Conservation & Protection bisacsh TECHNOLOGY / Agriculture / Forestry bisacsh Lappi, Juha, author. Taylor & Francis https://www.taylorfrancis.com/books/9780429173462 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 90825 90824