Mathematical and statistical software

This handy reference book detailing the intricacies of R covers version 4.

Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks.

This book provides the essential theoretical tools for stochastic modeling.

This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data.

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level.

This book was written to provide guidance for those who need to apply statistical methods for practical use.

This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied.

An essential guide detailing information optics, holography and MATLAB.

This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied.

This textbook offers an essential introduction to survey research and quantitative methods.

This book provides an accessible introduction and practical guidelines to apply asymmetric multidimensional scaling, cluster analysis, and related methods to asymmetric one-mode two-way and three-way asymmetric data.

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and  astrophysics in the past twenty years.

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

This book was written to provide guidance for those who need to apply statistical methods for practical use.

This book develops the time series univariate models through the Econometric Modeler tool.

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R.

This book is a self-guided tour of MATLAB for engineers and life scientists.

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language.

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains.

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking.

This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation.

Companies are scrambling to integrate AI into their systems and operations.

Companies are scrambling to integrate AI into their systems and operations.

This textbook provides a compact but comprehensive treatment that guides students through applied numerical analysis, using MATLAB(R)/Simulink(R).

This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R.

Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences.

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general.

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general.

This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation.

The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants.

Advance your skills in building predictive models with SAS!

A comprehensive guide to machine learning and statistics for students and researchers of environmental data science.

This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-25 June 2021.

This book provides a reference for people working in the design, development, and manufacturing of medical devices.

Advance your skills in building predictive models with SAS!

Challenge your brain with math!

Challenge your brain with math!

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously.

R is open source statistical computing software.

Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills!

Tough Test Questions?

This book focuses on statistical inferences related to various combinatorial stochastic processes.

Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniquesAbout This BookGain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packagesUnderstand how to apply useful data analysis techniques in R for real-world applicationsAn easy-to-follow guide to make the life of data scientist easier with the problems faced while performing data analysisWho This Book Is ForThis book is for those who are already familiar with the basic operation of R, but want to learn how to efficiently and effectively analyze real-world data problems using practical R packages.

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 about the role and potential of using digital technology in designing teaching and learning tasks in the mathematics classroom.