All measurements are subject to error because no quantity can be known exactly; hence, any measurement has a probability of lying within a certain range. The mo

All measurements are subject to error because no quantity can be known exactly; hence, any measurement has a probability of lying within a certain range. The mo

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part

This book fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty