Statistical Modeling with R

preview-18
  • Statistical Modeling with R Book Detail

  • Author : Pablo Inchausti
  • Release Date : 2023-01-11
  • Publisher : Oxford University Press
  • Genre : Mathematics
  • Pages : 519
  • ISBN 13 : 0192859013
  • File Size : 95,95 MB

Statistical Modeling with R by Pablo Inchausti PDF Summary

Book Description: To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the statistical framework to analyse their data depending on the nature and complexity of the problem, and based on their personal views and prior training on probability and uncertainty. Although textbooks and courses should reflect and anticipate this dual reality, they rarely do so. This accessible textbook explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists. It presents the material in an informal, approachable, and progressive manner suitable for readers with only a basic knowledge of calculus and statistics. Statistical Modeling with R is aimed at senior undergraduate and graduate students, professional researchers, and practitioners throughout the life sciences, seeking to strengthen their understanding of quantitative methods and to apply them successfully to real world scenarios, whether in the fields of ecology, evolution, environmental studies, or computational biology.

Disclaimer: www.yourbookbest.com does not own Statistical Modeling with R books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Statistical Modeling with R

Statistical Modeling with R

File Size : 74,74 MB
Total View : 6822 Views
DOWNLOAD

To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically

Modern Statistics with R

Modern Statistics with R

File Size : 74,74 MB
Total View : 724 Views
DOWNLOAD

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics wi

Statistical Modelling in R

Statistical Modelling in R

File Size : 28,28 MB
Total View : 4730 Views
DOWNLOAD

A comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of stati

Statistical Regression Modeling with R

Statistical Regression Modeling with R

File Size : 42,42 MB
Total View : 2320 Views
DOWNLOAD

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distr

R for Data Science

R for Data Science

File Size : 74,74 MB
Total View : 9080 Views
DOWNLOAD

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac