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Practical Statistics for Field Biology

Jim Fowler
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TLDR
This chapter discusses measurement and Sampling concepts, measurement practice, and the Basis of Statistical Testing as well as measuring Variability, Probability, and Correlations.
Abstract
Measurement and Sampling Concepts. Processing Data. Presenting Data. Measuring the Average. Measuring Variability. Probability. Probability Distributions as Models of Dispersion. The Normal Distribution. Data Transformation. How Good are Our Estimates? The Basis of Statistical Testing. Analysing Frequencies. Measuring Correlations. Regression Analysis. Comparing Averages. Analysis of Variance - ANOVA. Multivariate Analysis. Appendices. Bibliography and Further Reading. Index.

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Analysing Ecological Data

TL;DR: In this paper, the effects of rice farming on aquatic birds with mixed modelling were investigated using additive and generalised additive modeling and univariate methods to analyse abundance of decapod larvae.

Tree diversity analysis: a manual and software for common statistical methods for ecological and biodiversity studies

Roeland Kindt, +1 more
TL;DR: In this article, a review of methods used in diversity and community ecology literature including: species accumulation curves for site-based and individual-based species accumulation, including a new technique for exact calculation of site based species accumulation and modern regression methods of generalised linear models and generalised additive models that are often appropriate for investigating patterns of species occurrence and species counts.
Journal ArticleDOI

Phytophthora ramorum as the Cause of Extensive Mortality of Quercus spp. and Lithocarpus densiflorus in California.

TL;DR: A new canker disease, commonly known as sudden oak death, of Lithocarpus densiflorus, Quercus agrifolia, Q. kelloggii, and Q. shrevei in California is shown to be caused by Phytophthora ramorum, a recently described species that was known only from Germany and the Netherlands on Rhododendron spp.
Book

Bayesian Methods for Ecology

TL;DR: In this paper, the authors present a tutorial for running WinBUGS and a case study of Mark-Recapture analysis with MCMC algorithms, as well as an analysis of variance and population dynamics.
Book

Biostatistical Design and Analysis Using R: A Practical Guide

Murray Logan
TL;DR: This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both.