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The Woman in the Window by A. J. Finn Read the opening extract of the brand new A. J. Finn book before its publication on 22/01/2018

Mathematical & statistical software books

See below for a selection of the latest books from Mathematical & statistical software category. Presented with a red border are the Mathematical & statistical software books that have been lovingly read and reviewed by the experts at Lovereading.

With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Mathematical & statistical software books and those from many more genres to read that will keep you inspired and entertained. And it's all free!


Recently Published

Classification, (Big) Data Analysis and Statistical Learning by Francesco Zamora Mola Classification, (Big) Data Analysis and Statistical Learning

This edited volume 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...
Format: Paperback - Released: 21/11/2017

MATLAB Handbook with Applications to Mathematics, Science, Engineering, and Finance by Jose Miguel David Baez-Lopez, David Alfredo Baez Villegas MATLAB Handbook with Applications to Mathematics, Science, Engineering, and Finance
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The purpose of this handbook is to allow users to learn and master the mathematics software package MATLAB, as well as to serve as a quick reference to some of the most used instructions in the package. A unique feature...
Format: Hardback - Released: 15/11/2017

How to Use SPSS (R) A Step-By-Step Guide to Analysis and Interpretation by Brian C. (Missouri Western State University, USA) Cronk How to Use SPSS (R) A Step-By-Step Guide to Analysis and Interpretation
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How to Use SPSSS (R) is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying...
Format: Hardback - Released: 08/11/2017

How to Use SPSS (R) A Step-By-Step Guide to Analysis and Interpretation by Brian C. (Missouri Western State University, USA) Cronk How to Use SPSS (R) A Step-By-Step Guide to Analysis and Interpretation
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How to Use SPSSS (R) is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying...
Format: Paperback - Released: 08/11/2017

Dynamical Systems with Applications Using Mathematica (R) by Stephen Lynch Dynamical Systems with Applications Using Mathematica (R)

This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica (R) computer algebra package. The book has a very hands-on approach and takes the reader from basic theory to recently published research material.
Format: Hardback - Released: 01/10/2017

Dynamic Documents with R and knitr, Second Edition by Yihui Xie Dynamic Documents with R and knitr, Second Edition

Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs,...
Format: Hardback - Released: 30/09/2017

Reproducible Research with R and R Studio, Second Edition by Christopher Gandrud Reproducible Research with R and R Studio, Second Edition

All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through...
Format: Hardback - Released: 30/09/2017

MATLAB (R) Essentials A First Course for Engineers and Scientists by William (Florida Atlantic University, Boca Raton, USA) Bober MATLAB (R) Essentials A First Course for Engineers and Scientists
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All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB(R)...
Format: Paperback - Released: 22/08/2017

Coming Soon

Statistical Data Analysis Using SAS Intermediate Statistical Methods by Mervyn G. Marasinghe, Kenneth J. Koehler Statistical Data Analysis Using SAS Intermediate Statistical Methods
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This book is an integrated treatment of applied statistical methods, presented at an intermediate level. It serves as an advanced introduction to the SAS programming language as well as demonstrating how to use SAS to analyse of a wide variety...
Format: Paperback - Released: 02/12/2017

The Maple Book by Frank Garvan The Maple Book

The second edition of this popular text on Maple(TM) programming has been updated to reflect Maple version 15. Suitable for new and advanced users, the guide covers the latest features of Maple and offers a tutorial that extends from high...
Format: Hardback - Released: 15/01/2018

Other books in this genre

Basic Elements of Computational Statistics by Wolfgang Karl Hardle, Yarema Okhrin, Ostap Okhrin Basic Elements of Computational Statistics
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This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.
Format: Hardback - Released: 15/08/2017

Simulation and Inference for Stochastic Processes with YUIMA A Comprehensive R Framework for SDEs and Other Stochastic Processes by Stefano M. Iacus, Nakahiro Yoshida Simulation and Inference for Stochastic Processes with YUIMA A Comprehensive R Framework for SDEs and Other Stochastic Processes
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The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Levy processes or fractional Brownian motion, as well as CARMA, COGARCH, and...
Format: Paperback - Released: 08/08/2017

Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016 by Ignacio Rojas Advances in Time Series Analysis and Forecasting Selected Contributions from ITISE 2016

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and...
Format: Hardback - Released: 03/08/2017

Statistics for Machine Learning by Pratap Dangeti Statistics for Machine Learning

Build Machine Learning models with a sound statistical understanding. About This Book * Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. * Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering....
Format: Paperback - Released: 21/07/2017

The Essentials of Data Science: Knowledge Discovery Using R by Graham J. (Togaware Pty Ltd, Canberra, Australia) Williams The Essentials of Data Science: Knowledge Discovery Using R
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The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and...
Format: Mixed media product - Released: 10/07/2017

Angewandte Datenanalyse Der Bayes'sche Weg by Daniel Battig Angewandte Datenanalyse Der Bayes'sche Weg


Format: Paperback - Released: 06/06/2017

Differential Geometrical Theory of Statistics by Frederic Barbaresco Differential Geometrical Theory of Statistics


Format: Paperback - Released: 06/06/2017

SPSS Statistics for Data Analysis and Visualization by Keith McCormick, Jesus Salcedo, Jon Peck, Andrew Wheeler SPSS Statistics for Data Analysis and Visualization
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Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of...
Format: Paperback - Released: 21/04/2017

R for Programmers Advanced Techniques by Dan Zhang R for Programmers Advanced Techniques

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows...
Format: Paperback - Released: 04/04/2017

R for Programmers Advanced Techniques by Dan Zhang R for Programmers Advanced Techniques

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows...
Format: Hardback - Released: 04/04/2017

Introduction to Data Science A Python Approach to Concepts, Techniques and Applications by Jordi Vitria, Petia Radeva, Oriol Pujol, Sergio Escalera Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
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This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and...
Format: Paperback - Released: 02/03/2017

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