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Blue Light Yokohama by Nicolas Obregon Read the opening extract of the brand new Nicolas Obregon book before its publication on 18/09/2017

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

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

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. It covers mathematical, statistical as well as programming problems in computational...
Format: Hardback - Released: 22/08/2017

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: 11/08/2017

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

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: 04/07/2017

Bayesian Statistics in Action BAYSM 2016, Florence, Italy, June 19-21 by Raffaele Argiento Bayesian Statistics in Action BAYSM 2016, Florence, Italy, June 19-21

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian...
Format: Hardback - Released: 29/04/2017

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: 25/04/2017

Coming Soon

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

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

Corpus Linguistics and Statistics with R Introduction to Quantitative Methods in Linguistics by Guillaume Desagulier Corpus Linguistics and Statistics with R Introduction to Quantitative Methods in Linguistics

This textbook examines empirical linguistics from a theoretical linguist's perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding...
Format: Hardback - Released: 11/10/2017

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

Pro R by Larry Pace Pro R

Pro R: A Professional Guide to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful...
Format: Paperback - Released: 05/12/2017

Other books in this genre

Linear Regression by David Olive Linear Regression

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction...
Format: Hardback - Released: 25/04/2017

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

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

R Primer, Second Edition by Claus Thorn (University of Copenhagen, Denmark) Ekstrom R Primer, Second Edition
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Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions...
Format: Paperback - Released: 01/03/2017

Techniques for Evaluating the Differences in Multiregional Input-Output Databases A Comparative Evaluation of CO2 Consumption-Based Accounts Calculated Using Eora, GTAP and WIOD by Anne Owen Techniques for Evaluating the Differences in Multiregional Input-Output Databases A Comparative Evaluation of CO2 Consumption-Based Accounts Calculated Using Eora, GTAP and WIOD

This book introduces the Eora, Global Trade Analysis Project (GTAP) and World Input-Output (WIOD) databases and provides detailed metadata on the data sources, database structures and construction techniques used to build each system. It offers a detailed account of how...
Format: Hardback - Released: 17/02/2017

Multilevel Modeling Using Mplus by Holmes Finch, Jocelyn E. Bolin Multilevel Modeling Using Mplus
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This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel...
Format: Paperback - Released: 12/01/2017

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