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Forest Measurements
Applying statistical methods to forestry problems and developing biologically sound mensuration techniques to assist forest managers.
Forest Biometrics: Sampling Methods, Statistical Inference, Experimental Design.
Forest Biometrics is designed for students interested in applying statistical methods to forestry-related problems. The recommended program incorporates many useful statistical tools and provides a sound foundation in statistical theory.
Program Requirements
Qualifying examinations in both Statistical Inference & Theory administered by the Dept. of Statistics.
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FOR 524 |
Forest Biometrics |
3 |
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FOR 525 |
Forest Modeling |
3 |
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ST 551, 552, 553 |
Statistical Methods |
4,4,4 |
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ST 555 |
Advanced Experimental Design |
3 |
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ST 557 |
Applied Multivariate Analysis |
3 |
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ST 561, 562, 563 |
Theory of Statistics |
3,3,3 |
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ST 565 |
Time Series and Spatial Statistics |
3 |
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ST 573 |
Ecological Sampling |
3 |
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ST 623 |
Generalized Regression Models I |
3 |
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ST 625 |
Generalized Regression Models II |
3 |
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ST 651, 652, 653 |
Linear Model Theory |
3,3,3 |
Forest Modeling: Stand and tree dynamics, yield, and growth potential.
Forest Modeling is designed for students interested in developing mensurational tools that are biologically sound and that are useful for answering questions faced by forest managers. The recommended program builds strength in available methodologies used to answer these questions.
Program Requirements
Qualifying examinations in both Statistical Inference & Theory administered by the Dept. of Statistics.
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BOT 543 |
Plant Community Ecology |
3 |
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FOR 524 |
Forest Biometrics |
3 |
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FOR 525 |
Forest Modeling |
3 |
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FS 543 |
Advanced Silviculture |
4 |
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ST 535 |
Quantitative Ecology |
3 |
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ST 551, 552, 553 |
Statistical Methods |
4,4,4 |
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ST 561, 562, 563 |
Theory of Statistics |
3,3,3 |
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ST 565 |
Time Series and Spatial Statistics |
3 |
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ST 573 |
Ecological Sampling |
3 |
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ST 623 |
Generalized Regression Models I |
3 |
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ST 625 |
Generalized Regression Models II |
3 |
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Forest Measurements