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A self-study guide to SPSS which contains screen dumps and exercises, glossary terms and worked examples. It covers a self-study guide for learning how to use SPSS and a... Læs mere
For first-year or introductory Engineering course Best-selling author Delores Etter provides an introduction to MATLAB. Using a consistent five-step problem-solving... Læs mere
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned... Læs mere
Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you'll learn how to load data,... Læs mere
In an accessible and step by step approach, the authors show readers which statistical procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics.
This book provides students with a clear understanding of the utility of MATLAB in complex arithmetic. The book allows professors to quickly find and assign... Læs mere
Provides an introduction to MATLAB[registered] that can be used at the undergraduate level. This book features the use of MATLAB 8.0. It covers object-oriented programming in MATLAB and the improvements that have been made to the MATLAB desktop and programming tools.
All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field.
Monte Carlo statistical methods, particularly those based on Markov chains, are now an essential component of the standard set of techniques used by statisticians.