Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based ...

This is a preview. Log in through your library . Abstract Statistical analyses are based on a mixture of mathematical theorems and judgments based on subject matter knowledge, intuition, and the goals ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis ...

Examples illustrate how to use the z chart table to find probabilities for different scenarios, such as determining the likelihood of a data point falling within a certain range or exceeding a ...

The following example, taken from Huntsberger and Billingsley (1989), compares two grazing methods using 32 steer. Half of the steer are allowed to graze continuously while the other half are ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Full Fact's Director Will Moy appeared on the Today Programme this morning just before Sir Andrew Dilnot of the UK Statistics Authority, both talking about how politicians use statistics. If you're ...

Three similar machines are used to attach a part to an assembly. One hundred assemblies are sampled from the output of each machine, and a part position is measured ...