Natural Resources Biometrics

Natural Resources Biometrics begins with a review of descriptive statistics, estimation, and hypothesis testing. The following chapters cover one- and two-way analysis of variance (ANOVA), including multiple comparison methods and interaction assessment, with a strong emphasis on application and interpretation. Simple and multiple linear regressions in a natural resource setting are covered in the next chapters, focusing on correlation, model fitting, residual analysis, and confidence and prediction intervals. The final chapters cover growth and yield models, volume and biomass equations, site index curves, competition indices, importance values, and measures of species diversity, association, and community similarity.



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About the Author

Diane Kiernan, Ph.D., Instructor at the SUNY College of Environmental Science and Forestry Diane Kiernan completed her Ph.D. in quantitative methods in forest science at SUNY ESF in 2007. She is currently teaching Introduction to Probability and Statistics and Forest Biometrics at SUNY ESF and Advanced Statistics at LeMoyne College in Syracuse, New York. She Read more »