within applications of statistics. The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions...

Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to...

Statistical inference is the process of using data analysis to infer properties of an underlying distribution of probability. Inferential statistical...

theoretical physics, statistical field theory (SFT) is a theoretical framework that describes phase transitions. It does not denote a single theory but encompasses...

In physics, statistical mechanics is a mathematical framework that applies statistical methods and probability theory to large assemblies of microscopic...

this theory are usually done with the help of statistical and discrete mathematical approaches from computer science. Normative decision theory is concerned...

or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups...

statistic (singular) or sample statistic is any quantity computed from values in a sample which is considered for a statistical purpose. Statistical purposes...

A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from...

A statistical hypothesis test is a method of statistical inference used to decide whether the data sufficiently support a particular hypothesis. A statistical...