Artículo: AMZ-B0D7SYC2YB

Modern Statistics with R: From Wrangling and Exploring Data to Inference and Predictive Modelling

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.20 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you:Data wrangling – importing, formatting, reshaping, merging, and filtering data in R.Exploratory data analysis – using visualisations and multivariate techniques to explore datasets.Statistical inference – modern methods for testing hypotheses and computing confidence intervals.Predictive modelling – regression models and machine learning methods for prediction, classification, and forecasting.Simulation – using simulation techniques for sample size computations and evaluations of statistical methods.Ethics in statistics – ethical issues and good statistical practice.R programming – writing code that is fast, readable, and (hopefully!) free from bugs.No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book.In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.

Producto prohibido

Este producto no está disponible

Este producto viaja de USA a tus manos en

Conoce más detalles

Highlight, take notes, and search in the book In this edition, page numbers are just like the physical edition