We now begin three chapters which are primarily aimed at a discussion of the main concepts of frequentist statistical inference. This is currently the prevailing approach to much of scientific ...

A new statistical technique developed by a researcher at the Texas A&M University School of Public Health and colleagues elsewhere offers fresh insights into how diseases affect individual cells. This ...

The first step in any statistical analysis, be it frequentist or Bayesian, is the construction of a probabilistic model which describes, mathematically, the way the data under study has been generated ...

The analysis of data from market research has, until fairly recently, been reliant upon statistical techniques that were developed during the nineteenth and early twentieth centuries for uses entirely ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Statistical inference for binomial data addresses the analysis of outcomes that can take one of two values, typically termed “success” or “failure”. Central to this domain is the estimation of the ...