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Statistics with Applications in Biology and Geology offers a practical introduction to the use of fundamental parametric statistical models tailored for biological and geological data analysis. Developed from material refined over nearly a decade of classroom testing, this text establishes a solid foundation in models, likelihood methods, and numerical reasoning aimed at both students and professionals. The book covers a range of models including one-sample and two-sample tests, one- and two-way analysis of variance, and linear regression for normally distributed data, along with corresponding models for binomial, multinomial, and Poisson distributions. Building on these fundamentals, readers are introduced to generalized linear models that allow for the analysis of more complex continuous and discrete data, as well as models for directional data. A chapter on key nonparametric tests further enriches the reader’s statistical repertoire. To enhance understanding, the presentation integrates the use of the SAS statistical software package for demonstrating various statistical tools while also working through simpler models by hand. This approach reinforces the underlying concepts, making it an essential resource for anyone looking to apply statistical methods in biology and geology.
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