Skip to search formSkip to main contentSkip to account menu

Propagation of uncertainty

Known as: Propagated error, Propogation of error, Uncertainty propagation software 
In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random… 
Wikipedia (opens in a new tab)

Related topics

Related topics

16 relations
Approximation errorAutomatic differentiationDead reckoningError analysis (mathematics)

Broader (1)

Numerical analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Distributed Soft Video Broadcast (DCAST) with Explicit Motion
Video broadcasting is a popular application of wireless network. However, the existing layered approaches can hardly accommodate… 
Highly Cited
2006
Highly Cited
2006
An active star topology for improving fault confinement in CAN networks
The controller area network (CAN) is a field bus that is nowadays widespread in distributed embedded systems due to its… 
Highly Cited
2005
Highly Cited
2005
Performance evaluation of MPEG-4 video streaming over UMTS networks using an integrated tool environment
Universal Mobile Telecommunications System (UMTS) is a third-generation mobile communications system that supports wireless… 
Highly Cited
2003
Highly Cited
2003
Multi-Level Fault Injections in VHDL Descriptions: Alternative Approaches and Experiments
The probability of transient faults increases with the evolution of technologies. There is a corresponding increased demand for… 
Highly Cited
1999
Highly Cited
1999
Analysis of error propagation in hybrid video coding with application to error resilience
A theoretical analysis of the overall mean squared error (MSE) in hybrid video coding is presented for the case of error prone… 
Highly Cited
1996
Highly Cited
1996
Test response compaction using multiplexed parity trees
Built-in self-testing requires test response streams from many observation points to be merged (space compaction) and compressed… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1988
Highly Cited
1988
Aerodynamic response of structures with parametric uncertainties
Review
1980
Review
1980
Statistical models for the image restoration problem
Review
1978
Review
1978
Errors in Practical Measurement in Science, Engineering, and Technology
This book discusses statistical measurement, error theory, and statistical error analysis. The topics of the book include an… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)