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Mathematicsematical Statistics

Quantitative and Statistical Data in Education: From Data Collection to Data Processing

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The...

Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning P...

Applied Directional Statistics Modern Methods and Case Studies

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more theoretical treatment presented in Modern Directional Statistics (CRC Press, 2017). The field of directional statistics has received a lot of attention due to demands from disciplines such as li...

Mining the Social Web Data Mining Facebook Twitter LinkedIn Instagram (3rd Edition)

This book will teach you a few things that you’ll be thankful to learn and will add a few indispensable tools to your toolbox, but perhaps even more importantly, it will tell you a story and entertain you along the way. It’s a story about data science involving social websites, the data that’s tucked away inside of them, and som...

Structural Equation with lavaan

This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the open-source software, lavaan, and the rich and comprehensive technical features i...

Practical R for Mass Communication and Journalism

Practical R for Mass Communication and Journalism (The R Series) by Sharon MachlisDo you want to use R to tell stories? This book was written for you―whether you already know some R or have never coded before.Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you...

Forecasting with the Theta Method

This book is the first to detail the Theta method of forecasting. The Theta method of Forecasting is considered one of the most difficult-to-beat forecasting benchmarks and has topped the biggest ever forecasting competition in the world - the M3 competition, which in 2000, involved 19 academic methods and six software packages ...

An R Companion to Applied Regression (3rd)

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of dat...

Robust Statistics: Theory and Methods (with R), 2nd edition

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust stat...

The Design and Analysis of Computer Experiments (Hardcover)

This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for andadjuncts to physical experiments. Since the publication of the first edition,...