Download Exploring Data in Engineering, the Sciences, and Medicine PDF EPUB
Author: Ronald Pearson
Pages: 792
Size: 1.604,96 Kb
Publication Date: January 21,2011
Category: Statistics
The recent dramatic rise in the amount of public datasets available clear of the Internet, in conjunction with the evolution of the Open up Source software movement, making powerful analysis packages like R freely available, have greatly increased both selection of opportunities for exploratory data analysis and all of the tools that support this kind of analysis.
This reserve will provide an intensive introduction to a good subset of the analysis equipment, illustrating what they are, what they do, so when and how they fail.
Designed for make use of as an introductory textbook for an exploratory data evaluation training course or as self-research companion for specialists and graduate learners, this book assumes knowledge of calculus and linear algebra, though no previous contact with probability or figures is necessary. Both simulation-based and true data illustrations are included, as are end-of-chapter exercises and both R code and datasets. Particular topics covered consist of descriptive characterizations like overview statistics (mean, median, regular deviation, MAD level estimate), graphical methods like boxplots and non-parametric density estimates, various types of regression modeling (regular linear regression versions, logistic regression, and extremely robust methods like least trimmed squares), and the acknowledgement and treatment of essential data anomalies like outliers and lacking data. The unique mix of topics provided in this book split it from any various other publication of its kind.