Books in category Computers – Mathematical & Statistical Software

  • MathLink Â

    MathLink ®
    Chikara Miyaji, Paul Abbott

    This book introduces the basic concepts of MathLink and explains how to extend Mathematica using MathLink.

  • IBM SPSS Statistics 23 Step by Step

    IBM SPSS Statistics 23 Step by Step
    Darren George, Paul Mallery

    Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250

  • Data Analysis with Mplus

    Data Analysis with Mplus
    Christian Geiser

    A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts.

  • Data Points

    Data Points
    Nathan Yau

    Reveal the story your data has to tell To create effective data visualizations, you must be part statistician, part designer, and part storyteller.

  • Linear Algebra with Maple Lab Manual

    Linear Algebra with Maple, Lab Manual
    Fred Szabo

    All students majoring in mathematics, computer science, engineering, physics, chemistry, economics, statistics, actuarial mathematics and other such fields of study will benefit from this text.

  • SAS for Mixed Models Second Edition

    SAS for Mixed Models, Second Edition
    Ramon C. Littell, Ph.D., Walter W. Stroup, Ph.D., George A. Milliken, Ph.D., Russell D. Wolfinger, Ph.D., Oliver Schabenberger, Ph.D.

    Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. This book is part of the SAS Press program.

  • Particle Filters for Random Set Models

    Particle Filters for Random Set Models
    Branko Ristic

    This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering.

  • MATLAB Matrix Algebra

    MATLAB Matrix Algebra
    Cesar Lopez

    MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals.

  • Learning R

    Learning R
    Richard Cotton

    With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.

  • An Introduction to Statistical Learning

    An Introduction to Statistical Learning
    Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani

    This book presents some of the most important modeling and prediction techniques, along with relevant applications.

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