Libros UCLV { BETA }

Estadística computacional

The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines. Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities. Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.

The book is intended for students, researchers and practitioners both in and out of academia. However, no prior knowledge of statistics is assumed. Consequently, the presentation moves from very basic (but not simple) to sophisticated. Even if you know statistics and R, you may find the many many examples with a variety of real world data, graphics and analyses useful. You may use the book as a reference and, to that end, we include two extensive indices. The book includes (almost) parallel discussions of analyses with the normal density, proportions (binomial), counts (Poisson) and bootstrap methods.

Learn Kotlin the easy way while developing an Android App

In this book, I’ll be creating an Android app from ground up using Kotlin as the main language. The idea is to learn the language by example, instead of following a regular reference book structure. I’ll be stopping to explain the most interesting concepts and ideas about Kotlin, comparing them to Java 6. This way, you can see what the differences are and which parts of the language will help you speed up your work. This book is not meant to be a language reference, but a tool for Android developers to learn Kotlin and be able to continue with their own projects by themselves. I’ll be solving many of the most recurring problems we have to face in our daily lives as App developers, by making use of Kotlin expressiveness and some other really interesting tools and libraries. However, this text covers most Kotlin features, so by the end of the reading you will have a deep knowledge about the language. The content is very practical, so I recommend you to follow the examples and the code in front of a computer and try everything it’s suggested. You could, however, take a first read to get a broad idea and then dive into practice. Even though this book now finished, I will review it from time to time to keep it up to date with new Kotlin versions. So feel free to write and tell me what you think about the book, or what could be improved. I want this book to be the perfect tool for Android developers, and as such, help and ideas will be welcomed. If you are reading a printed copy and want to receive the latest updates, please feel free to write me back to contact@antonioleiva.com with a proof of purchase, and I’ll give you access to the digital copy. That way, you’ll keep receiving the updates. Thanks for becoming part of this exciting project!