Mathematical and statistical software

This book studies data, analytics, and intelligence using Boolean structure.

This comprehensive and richly illustrated volume provides up-to-date material on Singular Spectrum Analysis (SSA).

This book presents the statistical analysis of compositional data using the log-ratio approach.

Access and clean up data easily using JMP(R)!

R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry.

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students.

MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences.

A comprehensive manual on the efficient modeling and analysis of photonic devices for graduate students and researchers in engineering and physics.

From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields.

Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.

This book discusses the theory and practice of random number generators that are useful for computer simulation and computer security applications.

Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years.

Tough Test Questions?

Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms.

Big data: It's unstructured, it's coming at you fast, and there's lots of it.

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning.

The updated guide to the newest graphing calculator from Texas Instruments The TI-Nspire graphing calculator is popular among high school and college students as a valuable tool for calculus, AP calculus, and college-level algebra courses.

This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation.

Create compelling business infographics with SAS and familiar office productivity tools.

Applied Statistics with Python: Volume I: Introductory Statistics and Regression concentrates on applied and computational aspects of statistics, focusing on conceptual understanding and Python-based calculations.

Discover the power of mixed models with SAS.

Now with a new companion website!

Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data.

This Element highlights the archaeology of methods developed in chemometrics, artificial intelligence, and Bayesian statistics.

Statistical computing provides the link between statistical theory and applied statistics.

These are the proceedings of the 22nd International Conference on Domain Decomposition Methods, which was held in Lugano, Switzerland.

This book is written for students at bachelor and master programs and has four different purposes, which split the book into four parts: 1.

ENGINEERING APPLICATIONS A comprehensive text on the fundamental principles of mechanical engineering Engineering Applications presents the fundamental principles and applications of the statics and mechanics of materials in complex mechanical systems design.

Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields.

This definitive reference on Combinatorica contains examples of all 450 functions plus tutorial text.

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art, powerful software program R.

Want to calculate the probability that an event will happen?

Software reliability is one of the most important characteristics of software product quality.

If youre considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment.

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks.

A comprehensive coverage of yield curve modelling techniques, focussing on the most well-known discrete-time models used by practitioners.

Goals and Emphasis of the Book Mathematicians have begun to find productive ways to incorporate computing power into the mathematics curriculum.

This book brings together two major trends: data science and blockchains.

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.