Mathematical and statistical software

Most topics in differential calculus are covered using Mathematica and developed in this book.

This text continues the exploration of the use of MATLAB tools and features in visualizing physical processes.

This text continues the exploration of the use of MATLAB tools and features in visualizing physical processes.

Work Automation with R provides a solid framework on how to automate tasks and workflows in the workplace with R.

Work Automation with R provides a solid framework on how to automate tasks and workflows in the workplace with R.

Dieses Buch liefert eine anwendungsorientierte Einführung in die Datenauswertung mit der freien Statistikumgebung R.

Dieses Buch liefert eine anwendungsorientierte Einführung in die Datenauswertung mit der freien Statistikumgebung R.

Dieses Lehrbuch führt leicht verständlich und anwendungsorientiert in die beschreibende und schließende Statistik sowie in die Wahrscheinlichkeitsrechnung ein:Die Methoden der Statistik werden nicht nur beschrieben, sondern auch in EXCEL und SPSS umgesetzt.

Dieses Lehrbuch führt leicht verständlich und anwendungsorientiert in die beschreibende und schließende Statistik sowie in die Wahrscheinlichkeitsrechnung ein:Die Methoden der Statistik werden nicht nur beschrieben, sondern auch in EXCEL und SPSS umgesetzt.

This book offers an exploration of the rich interplay between numerical semigroups and commutative algebra.

This book offers an exploration of the rich interplay between numerical semigroups and commutative algebra.

Get the eBook free when you register your print book at Manning.

This volume presents a curated collection of contributions from the Go20 Conference on Scientific Computing and Software, held May 20–24, 2024, in Gozo, Malta.

This volume presents a curated collection of contributions from the Go20 Conference on Scientific Computing and Software, held May 20–24, 2024, in Gozo, Malta.

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems.

This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy.

This volume gathers selected, peer-reviewed contributions presented at the 19th Conference of the International Federation of Classification Societies (IFCS 2026), held on 14–16 July 2026 in Milan, Italy.

This book presents a practical approach for researchers seeking to analyse patient data over time.

This book presents a practical approach for researchers seeking to analyse patient data over time.

This book teaches R programming for fundamental statistical and data analysis skills, specifically tailored to social scientists and others new to quantitative research.

This book teaches R programming for fundamental statistical and data analysis skills, specifically tailored to social scientists and others new to quantitative research.

This volume presents a peer-reviewed selection of papers from the MISI’25 conference, held on July 9–10, 2025, in Safi, Morocco.

This volume presents a peer-reviewed selection of papers from the MISI’25 conference, held on July 9–10, 2025, in Safi, Morocco.

This third of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

This third of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

This last of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

This last of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

This volume on statistical dependence modeling is published in honor of Claudia Czado and her influential career in statistics.

This volume on statistical dependence modeling is published in honor of Claudia Czado and her influential career in statistics.

This second of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

This second of four volumes on Statistical Science: From Theory to Applied Research presents peer-reviewed short papers on theoretical and applied statistics presented at the Joint Meeting SIS-FENStatS 2026, held in Rome, Italy, on June 22–25, 2026.

Why do weather forecasters get it wrong?

The modern world is awash with data.

The modern world is awash with data.

Modeling with Data fully explains how to execute computationally intensive analyses on very large data sets, showing readers how to determine the best methods for solving a variety of different problems, how to create and debug statistical models, and how to run an analysis and evaluate the results.

This textbook provides a practical, business-focused introduction to regression analysis using Python.

This textbook provides a practical, business-focused introduction to regression analysis using Python.

This second edition of a classic text offers an extensively revised and updated treatment of multivariate statistical analysis and its practical implementation using the LISREL program.

With a foreword by Tim Rice, this book will change the way you see the world.

Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.

Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R.

Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance.

Over the past few decades, the life sciences have experienced an analytical revolution.

To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian.

Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance.

R ist aus der heutigen sozialwissenschaftlichen Datenanalyse nicht mehr wegzudenken.