Mathematical and statistical software

The 2nd edition of R for Marketing Research and Analytics continues to be the best place to learn R for marketing research.

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data.

This book provides an introduction to chemical engineering analysis- which reviews the processes and designs used to manufacture, use, and dispose of chemical products-and to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing.

The third edition of the Student Study Guide With IBM(R) SPSS(R) Workbook for Research Methods, Statistics, and Applications by Kathrynn A.

The Third Edition of the Differential Equations with Mathematica integrates new applications from a variety of fields,especially biology, physics, and engineering.

Maple by Example, Third Edition, is a reference/text for beginning and experienced students, professional engineers, and other Maple users.

Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments.

Computing with Mathematica, Second Edition is engaging and interactive.

This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R.

R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "e;Quantitative Chemistry"e; or sometimes "e;Analytical Chemistry"e;.

Software Design for Engineers and Scientists integrates three core areas of computing:.

This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more.

For all engineers and students coming to finite element analysis or to ANSYS software for the first time, this powerful hands-on guide develops a detailed and confident understanding of using ANSYS's powerful engineering analysis tools.

A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.

A practical, professional guide to MATLAB computational techniques and engineering applicationsMATLAB Numerical Methods with Chemical Engineering Applications shows you, step by step, how to use MATLAB to model and simulate physical problems in the chemical engineering realm.

This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science.

This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical science.

This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods.

This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint models using the Integrated Nested Laplace Approximations (INLA) methodology, a powerful and computationally efficient alternative to traditional MCMC methods.