Statistics in Natural Resources: Applications with R
Autor Matthew Russellen Limba Engleză Paperback – 26 aug 2024
The primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will:
- Develop analytical and visualization skills for investigating the behavior of agricultural and natural resources data.
- Become competent in importing, analyzing, and visualizing complex data sets in the R environment.
- Recode, combine, and restructure data sets for statistical analysis and visualization.
- Appreciate probability concepts as they apply to environmental problems.
- Understand common distributions used in statistical applications and inference.
- Summarize data effectively and efficiently for reporting purposes.
- Learn the tasks required to perform a variety of statistical hypothesis tests and interpret their results.
- Understand which modeling frameworks are appropriate for your data and how to interpret predictions.
- Includes over 130 exercises in R, with solutions available on the book’s website.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 422.67 lei 6-8 săpt. | |
CRC Press – 26 aug 2024 | 422.67 lei 6-8 săpt. | |
Hardback (1) | 803.65 lei 6-8 săpt. | |
CRC Press – 19 aug 2022 | 803.65 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781032259543
ISBN-10: 103225954X
Pagini: 354
Ilustrații: 250
Dimensiuni: 156 x 234 mm
Greutate: 0.65 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
ISBN-10: 103225954X
Pagini: 354
Ilustrații: 250
Dimensiuni: 156 x 234 mm
Greutate: 0.65 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Locul publicării:Boca Raton, United States
Public țintă
Postgraduate and Undergraduate AdvancedCuprins
1 Visualizing Data 2 Summary statistics and distributions 3 Probability 4 Hypothesis tests for means and variances 5 Inference for counts and proportions 6 Inference for two-way tables 7 Sample size and statistical power 8 Linear regression 9 Multiple regression 10 Analysis of variance 11 Analysis of covariance 12 Logistic regression 13 Count regression 14 Linear mixed models 15 Communicating statistical results with visualizations
Notă biografică
Matthew Russell is a forest analytics consultant at Arbor Custom Analytics LLC where he uses data to solve natural resources problems. He is the author/co-author of more than 75 peer-reviewed publications focused on applied forestry research. He has conducted extensive research and teaching on topics related to forest modeling and statistics. He regularly offers short courses and workshops on data science and R for natural resources and environmental professionals.
Descriere
This book focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines.