Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics I: Basic Bivariate Techniques, Third Edition is an introductory statistics text based on chapters from the first half of the original book. The author′s contemporary approach reflects current thinking in the field, with its coverage of the "new statistics" and reproducibility in research. Her in-depth presentation of introductory statistics follows a consistent chapter format, includes some simple hand-calculations along with detailed instructions for SPSS, and helps students understand statistics in the context of real-world research through interesting examples. Datasets are provided on an accompanying website. Bundle and Save Applied Statistics I + Applied Statistics II: Basic Bivariate Techniques, Third Edition Bundle Volume I and II ISBN: 978-1-0718-1337-9 An R Companion for Applied Statistics I: Basic Bivariate Techniques + Applied Statistics I Bundle ISBN: 978-1-0718-1325-6
It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using ...
Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant ...
This book is essential reading for anyone who makes extensive use of statistical methods in their work.
IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the 'go-to' stats program throughout the life-sciences.
This book is a guide to using S environments to perform statistical analyses and provides both an introduction to the use of S and a course in modern statistical methods.
Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data.
Of Key Functions; Chapter 10: Bivariate Pearson Correlation; Checking Assumptions; Performing Pearson's Bivariate Correlation; Considering Alternatives; Summary of Key Functions; Chapter 11: Bivariate Regression; Checking Assumptions; ...
(See Darroch & Ratcliff, 1972, .) This is usually very much faster than GLM fitting but is less flexible. To use loglin we need to form the frequencies into an array. A simple way to do this is to construct a matrix subscript from the ...
This book should be of interest to senior undergraduate and postgraduate students of applied statistics.