Nguồn ngoài
Natural Resources Biometrics
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.
- Tác giả
- Diane Kiernan
- Nhà xuất bản
- SUNY College of Environmental Science and Forestry
- Nguồn
- LibreTexts
- Giấy phép
- CC BY-NC-SA
- Ngôn ngữ
- EN
- Danh mục
- Khoa học cơ bản
Mục lục· 49 mục
- 01: Descriptive Statistics and the Normal Distribution
- 1.01: Descriptive Statistics
- 1.02: Probability Distribution
- 02: Sampling Distributions and Confidence Intervals
- 2.01: Sampling Distribution of the Sample Mean
- 2.02: Confidence Intervals
- 03: Hypothesis Testing
- 3.01: The Fundamentals of Hypothesis Testing
- 3.02: Hypothesis Test about the Population Mean when the Population Standard Deviation is Known
- 3.03: Hypothesis Test about the Population Mean when the Population Standard Deviation is Unknown
- 3.04: Hypothesis Test for a Population Proportion
- 3.05: Hypothesis Test about a Variance
- 3.06: Putting it all Together Using the Classical Method
- 04: Inferences about the Differences of Two Populations
- 4.01: Inferences about Two Means with Independent Samples (Assuming Unequal Variances)
- 4.02: Pooled Two-sampled t-test (Assuming Equal Variances)
- 4.03: Inferences about Two Means with Dependent SamplesMatched Pairs
- 4.04: Inferences about Two Population Proportions
- 4.05: F-Test for Comparing Two Population Variances
- 4.06: Summary
- 05: One-Way Analysis of Variance
- 5.01: Analysis of Variance
- 5.02: Multiple Comparisons
- 06: Two-way Analysis of Variance
- 6.01: Main Effects and Interaction Effect
- 6.02: Multiple Comparisons
- 6.03: Summary And Software Solution
- 07: Correlation and Simple Linear Regression
- 7.01: Correlation
- 7.02: Simple Linear Regression
- 7.03: Population Model
- 7.04: Software Solution
- 08: Multiple Linear Regression
- 8.01: Multiple Regressions
- 8.02: Software Solution
- 09: Modeling Growth Yield and Site Index
- 9.01: Growth and Yield Models
- 9.02: Site Index
- 9.03: Reference
- 10: Quantitative Measures of Diversity Site Similarity and Habitat Suitability
- 10.01: Introduction Simpsons Index and Shannon-Weiner Index
- 10.02: Rank Abundance Graphs and Habitat Suitability Index
- 10.03: Reference
- 11: Biometric Labs
- 11.01: Biometrics Lab 1
- 11.02: Biometrics Lab 2
- 11.03: Biometrics Lab 3
- 11.04: Biometrics Lab 4
- 11.05: Biometrics Lab 5