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...

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

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

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

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

statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two...

the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics...

Variance – Statistical measure of how far values spread from their average Fuzzy logic – System for reasoning about vagueness Fuzzy measure theory – theory of...

of statistical analysis is to produce information about some chosen population. In statistical inference, a subset of the population (a statistical sample)...

econometrics is the multiple linear regression model. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric...

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

numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological...

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

Extreme value theory or extreme value analysis (EVA) is a branch of statistics dealing with the extreme deviations from the median of probability distributions...

Classical test theory (CTT) is a body of related psychometric theory that predicts outcomes of psychological testing such as the difficulty of items or...

distribution is stretched or squeezed. Common examples of measures of statistical dispersion are the variance, standard deviation, and interquartile range...

statistics and in particular statistical theory, unbiased estimation of a standard deviation is the calculation from a statistical sample of an estimated value...

In statistical hypothesis testing, a result has statistical significance when a result at least as "extreme" would be very infrequent if the null hypothesis...

Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of...

the statistical approach itself has been gradually superseded by the deep learning-based neural machine translation. The first ideas of statistical machine...

[1994], "Risk of a statistical procedure", Encyclopedia of Mathematics, EMS Press Berger, James O. (1985). Statistical decision theory and Bayesian Analysis...

In statistical theory, a U-statistic is a class of statistics defined as the average over the application of a given function applied to all tuples of...

- loss functions weren't explicitly mentioned yet]. Taguchi knew statistical theory mainly from the followers of Ronald A. Fisher, who also avoided loss...

settings. Misuse of statistics Robust statistics Statistical hypothesis testing Statistical theory Kruskall, 1988 Koch G. G., Gillings D. B. (2006),...

Generalizability theory, or G theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to...

field theories can sometimes be exactly solved or classified. Conformal field theory has important applications to condensed matter physics, statistical mechanics...

Statistical associating fluid theory (SAFT) is a chemical theory, based on perturbation theory, that uses statistical thermodynamics to explain how complex...