Natural Resources Biometrics

Format:

Book

Author/Creator:

Kiernan, Diane, author.

Language:

English

Subjects (All):

Science--Textbooks.

Science.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] Open SUNY [2014]

Language Note:

In English.

Summary:

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.

Contents:

Chapter 1: Descriptive Statistics and the Normal Distribution

Chapter 2: Sampling Distributions and Confidence Intervals

Chapter 3: Hypothesis Testing

Chapter 4: Inferences about the Differences of Two Populations

Chapter 5: One-way Analysis of Variance

Chapter 6: Two-way Analysis of Variance

Chapter 7: Correlation and Simple Linear Regression

Chapter 8: Multiple Linear Regression

Chapter 9: Modeling Growth, Yield, and Site Index

Chapter 10: Quantitative Measures of Diversity, Site Similarity, and Habitat Suitability

Notes:

CC BY-SA

Description based on print resource

OCLC:

868825838

Access Restriction:

Unrestricted online access