Scientific Software R. Descriptive Statistics

By: Pérez López, César

This book focuses on the work in Descriptive Statistics through R. It deals first with the Exploratory Data Analysis, both numerical and graphical, which is always a technique prior to any other statistical analysis. Next, the basic concepts of Descriptive Statistics are developed, such as measures of centralization, dispersion and form, as well as robust descriptive statistics. Work with two-dimensional distributions, correlations and covariances is also addressed. Subsequently, the multiple regression model is approached, focusing on the problems of its estimation and diagnosis. Finally, the generalized linear models and the Logit and Probit limited dependent variable models are studied in depth. A great variety of examples and exercises solved with the R software are presented.

• Format: Paperback
• Language: English
• ISBN: B08N32ZJF1
• ISBN13: 9798561303074
• Release Date: November 2020
• Publisher: Independently published
• Length: 263 Pages
• Weight: 1.36 lbs.
• Dimensions: 11.0" x 0.6" x 8.5"