Uncertainty arising from different sources — errors in the data, parameter estimation procedure, alternative model structures — are propagated through the model for uncertainty analysis and their relative importance is quantified via sensitivity analysis.

Uncertainty of this type can be quantified with Bayesian analysis.

* Sensitivity analysis and Uncertainty analysis

* Uncertainty analysis

* Uncertainty in a physical variable as seen in for instance the uncertainty principle

The Cone of Uncertainty explains some of this as the planning made on the initial phase of the project suffers from a high degree of uncertainty.

The World Wide Web Consortium ( W3C ) Incubator Group for Uncertainty Reasoning for the World Wide Web ( URW3-XG ) final report lumps these problems together under the single heading of " uncertainty ".

In his seminal work Risk, Uncertainty, and Profit University of Chicago economist Frank Knight ( 1921 ) established the important distinction between risk and uncertainty:

The most commonly used procedure for calculating measurement uncertainty is described in the Guide to the Expression of Uncertainty in Measurement ( often referred to as " the GUM ") published by ISO.

* Uncertainty avoidance is the coping with uncertainty about the future.

* Uncertainty models, uncertainty quantification, and uncertainty processing in engineering

* Guide to the Expression of Uncertainty in Measurement ( ISO ), see Measurement uncertainty

His most influential work was Risk, Uncertainty and Profit ( 1921 ) from which was coined the term Knightian uncertainty.

Uncertainty and Sensitivity Analysis offer valid tools for characterizing the uncertainty associated with a model.

:* Uncertainty node ( corresponding to each uncertainty to be modeled ) is drawn as an oval.

Knightian uncertainty is named after University of Chicago economist Frank Knight ( 1885 – 1972 ), who distinguished risk and uncertainty in his work Risk, Uncertainty, and Profit:

Uncertainty Reduction Theory discusses the processes through which individuals go to reduce uncertainty about one another when placed in an unknown or unfamiliar environment ( Berger & Calabrese, 100 ).

Expectation Violations Theory has its roots in Uncertainty Reduction research, which attempts to predict and explain how communication is used to reduce the uncertainty among people involved in conversations with one another the first time they meet.

Uncertainty reduction theory focuses on when and why individuals use communication to reduce the uncertainty they have about others.

Kellerman and Reynolds ( 1990 ) pointed out that sometimes there are high level of uncertainty in interaction that no one wants to reduce ( Miller, 180 – 183 ). As a result of the critique, researchers formed the Uncertainty Management theory.

# Uncertainty: The lack of certainty, A state of having limited knowledge where it is impossible to exactly describe the existing state, a future outcome, or more than one possible outcome.

# Measurement of Uncertainty: A set of possible states or outcomes where probabilities are assigned to each possible state or outcome – this also includes the application of a probability density function to continuous variables

* Uncertainty model Fuzziness

:* Uncertainty / deterministic nodes and incoming conditional arcs collectively model the information ( what are known and their probabilistic / deterministic relationships )

Uncertainty and errors within regional models are introduced by the global model used for the boundary conditions of the edge of the regional model, as well as errors attributable to the regional model itself.

Uncertainty overcoming itself is the precondition of the quest for new and more precise information about the world.

It is a key concept of the so-called Generalized Likelihood Uncertainty Estimation ( GLUE ) methodology to quantify how uncertain environmental predictions are.

* T. Schürmann, A Single Particle Uncertainty Relation, Acta Physica Polonica B39 ( 2008 ) 587.

The CODATA recommended values of fundamental physical constants are published at the NIST Reference on Constants, Units, and Uncertainty.

Uncertainty in economics is an unknown prospect of gain or loss, whether quantifiable as risk or not.

It was primarily a response to an earlier landmark book and television series: The Age of Uncertainty, by the noted economist John Kenneth Galbraith.

Ian Barbour in his book Issues in Science and Religion ( 1966 ), p. 133, cites Arthur Eddington's The Nature of the Physical World ( 1928 ) for a text that argues The Heisenberg Uncertainty Principles provides a scientific basis for " the defense of the idea of human freedom " and his Science and the Unseen World ( 1929 ) for support of philosophical idealism " the thesis that reality is basically mental ".

“ Mary versus Eve: Paternal Uncertainty and the Christian View of Women .” Neophilologus: International Journal of Modern and Mediaeval Language and Literature 95 ( 4 ) 2011: 507-521.

The Uncertainty Principle states that both the position and the momentum cannot simultaneously be measured with complete precision.

* Uncertainty: These are precise concepts with uncertain values.

Uncertainty about the US commitment accelerated the country ’ s shift from subsidized import-substitution in the 1950s to export-led growth.

Uncertainty in the law is a serious problem, insofar as the published precedent of courts in a common law system is supposed to constitute " a clear guide for the conduct of individuals, to enable them to plan their affairs with assurance against untoward surprise.

Uncertainty is associated with each link of the causal chain of climate change.

While temporarily at the University of Copenhagen, German physicist Werner Heisenberg formulated his famous Uncertainty principle, and, with Max Born and Pascual Jordan, accomplished the first complete and correct definition of quantum mechanics, through the invention of Matrix mechanics.

Uncertainty about gender identity which causes anxiety or stress is diagnosed as sexual maturation disorder.

" The Emergence of Exchange Structures: An Experimental Study of Uncertainty, Commitment, and Trust.

) ( 1982 ) Judgment Under Uncertainty: Heuristics and Biases.

Arrow analysed this issue for medical care ( a 1963 paper entitled " Uncertainty and the Welfare Economics of Medical Care ", in the American Economic Review ); later researchers investigated many other markets, particularly second-hand assets, online auctions and insurance.

), Uncertainty and Expectations in Economics.

Individual Choice under Certainty and Uncertainty.

* Uncertainty ( or risk ): The amount of money to be transferred in the future is uncertain.

Uncertainty is a term used in subtly different ways in a number of fields, including physics, philosophy, statistics, economics, finance, insurance, psychology, sociology, engineering, and information science.