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- Angela Barthes, Miche LariniI |
- 2019 |
- pdf |
- 12.94MB |
- 285pages

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...

- Abhishek Singh, Karthik Ramasubramanian |
- 2019 |
- pdf |
- 17.75MB |
- 712pages

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...

- Christophe Ley, Thomas Verdebout |
- 2019 |
- pdf |
- 100.76MB |
- 317pages

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...

- Matthew A. Russell, Mikhail Klassen |
- 2019 |
- pdf |
- 29.73MB |
- 423pages

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...

- Kamel Gana, Guillaume Broc |
- 2019 |
- pdf |
- 12.45MB |
- 286pages

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...

- Sharon Machlis |
- 2019 |
- pdf |
- 37.51MB |
- 261pages

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...

- Dimitrios D. Thomakos, Kostas I. Nikolopoulos |
- 2019 |
- pdf |
- 1.92MB |
- 185pages

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 ...

- Sanford Weisberg, John Fox |
- 2019 |
- pdf |
- 51.78MB |
- 802pages

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...

- Ricardo A. Maronna, R. Douglas Martin |
- 2019 |
- pdf |
- 4.77MB |
- 453pages

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...

- Thomas J. Santner; Brian J Williams; William I Notz |
- 2019 |
- pdf |
- 13.54MB |
- 436pages

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,...