Foundational and Applied Statistics for Biologists Using R - Ken A. Aho

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Auteur(s) : Ken A. Aho

Editeur : Chapman And Hall/Crc

Langue : Anglais

Parution : 01/01/2023

Format : Moyen, de 350g à 1kg

Nombre de pages : 620.0

Expédition : 1440

ISBN : 9781032477411

Résumé :

FOUNDATIONS: Philosophical and Historical Foundations. Introduction to Probability. Probability Density Functions. Parameters and Statistics. Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. Hypothesis Testing. Sampling Design and Experimental Design. APPLICATIONS: Correlation. Regression. ANOVA. Tabular Analyses. Appendix. References. Index.

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Biographie:
Ken A. Aho...

Sommaire:

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts.

Assuming only familiarity with algebra and general calculus, the text offers a flexible structure for both introductory and graduate-level biostatistics courses. The first seven chapters address fundamental topics in statistics, such as the philosophy of science, probability, estimation, hypothesis testing, sampling, and experimental design. The remaining four chapters focus on applications involving correlation, regression, ANOVA, and tabular analyses.

Unlike classic biometric texts, this book provides students with an understanding of the underlying statistics involved in the analysis of biological applications. In particular, it shows how a solid statistical foundation leads to the correct application of procedures, a clear understanding of analyses, and valid inferences concerning biological phenomena.

Web ResourceAn R package (asbio) developed by the author is available from CRAN. Accessible to those without prior command-line interface experience, this companion library contains hundreds of functions for statistical pedagogy and biological research. The author's website also includes an overview of R for novices.