£67.99
Examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics.
Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.
Bayesian Model Selection and Statistical Modeling
Basic Statistical Methods and Models for the Sciences
Statistical Methods for the Social and Behavioural Sciences
Statistical Models
Model Averaging
Statistical Models
Using R for Modelling and Quantitative Methods in Fisheries
Introduction to Statistical Data Science
Linear Models with R
Introduction to Statistical Modelling and Inference
Bringing Bayesian Models to Life
Statistical Models in Epidemiology