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Cover

Statistical Thinking from Scratch

A Primer for Scientists

M. D. Edge

June 2019

ISBN: 9780198827634

318 pages
Paperback
246x189mm

In Stock

Price: £36.49

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

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Description

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.

  • Explains the conceptual frameworks underlying data-analytic techniques using a single statistical procedure (simple linear regression), rather than focusing on data processing and analysis
  • Assumes prior knowledge of algebra, but all mathematical content and equations are accompanied by explanatory prose
  • Includes code and practical instruction in running simulations and data analyses conducted in R software

About the Author(s)

M. D. Edge, Postdoctoral Researcher, Department of Evolution and Ecology, University of California, Davis, USA

M. D. Edge is a Postdoctoral Researcher in the Department of Evolution and Ecology at the University of California, Davis. Starting in 2020, he will be an Assistant Professor of Biological Sciences in the Quantitative and Computational Biology section at the University of Southern California.

Table of Contents

    Dedication
    Acknowledgments
    Prelude
    1:Encountering Data
    2:R and Exploratory Data Analysis
    3:The Line of Best Fit
    4:Probability and Random Variables
    5:Properties of Random Variables
    Interlude
    6:Properties of Point Estimators
    7:Interval Estimation and Inference
    8:Semiparametric Estimation and Inference
    9:Parametric Estimation and Inference
    10:Bayesian Estimation and Inference
    Postlude: Models and Data
    Appendix A: A Tour of Calculus
    Appendix B: More R Details
    Appendix C: Answers to Exercises
    Table of mathematical notation
    Glossary
    Bibliography
    Index

Reviews

"This book is extraordinarily accessible. It is engaging, very good, and deserves wider recognition as a course text for advanced undergraduate level or beginning science research graduate students. What really makes it a compelling course (and self-learning) text are the many exercises scattered throughout. This is a very practical text whose main aim is to increase the statistical expertise of users. Throughout, the reader is treated to a lively, witty and engaging writing style. Highly recommended." - Journal of the Royal Statistical Society

"Statistical Thinking from Scratch: A Primer for Scientists, a new book by M.D. Edge, a population geneticist, fills a unique niche in this landscape, sitting between the inference-focused material most biodiversity scientists are likely familiar with, and mathematical statistics books that focus on the derivations and properties of estimators."

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