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Related Concept Videos

Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
First Impression01:09

First Impression

First impressions play a crucial role in social perception, shaping how individuals assess others in professional, academic, and interpersonal contexts. Psychological research highlights the significance of cognitive biases, such as the primacy and recency effects, which influence how people interpret and recall information.The Primacy Effect and Cognitive AnchoringThe primacy effect describes the tendency for initial information to impact judgment disproportionately. When individuals encounter...

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Related Experiment Video

Updated: May 21, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Effect of prior probability quality on biased time-delay estimation.

Brett C Byram1, Gregg E Trahey, Mark L Palmeri

  • 1Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA. brett.byram@duke.edu

Ultrasonic Imaging
|June 26, 2012
PubMed
Summary

Biased estimators can reduce errors in ultrasound displacement estimation by incorporating adjacent data. This method enhances accuracy beyond the limitations of unbiased estimators, boosting confidence in the proposed technique.

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Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Imaging

Background:

  • Unbiased estimators may not always yield optimal performance in complex estimation tasks.
  • Ultrasound displacement estimation is crucial for various medical diagnostic applications.
  • Biased estimators, when designed correctly, can offer advantages over unbiased ones.

Purpose of the Study:

  • To investigate the impact of a prior probability on ultrasound time-delay estimation.
  • To evaluate a recently proposed biased estimator that utilizes adjacent displacement estimates.
  • To determine if the biased estimator can outperform the Cramer-Rao lower bound for unbiased estimators.

Main Methods:

  • Theoretical analysis of the proposed biased estimator.
  • Computer simulations to assess estimator performance under various conditions.
  • Comparison of the biased estimator's results against the Cramer-Rao lower bound.

Main Results:

  • The proposed biased estimator incorporates adjacent estimates via a prior probability.
  • Theoretical and simulation results demonstrate the estimator's effectiveness.
  • When adjacent estimates are accurate, the biased estimator's performance can exceed unbiased estimator limitations.

Conclusions:

  • The biased estimator shows promise for improving ultrasound displacement estimation accuracy.
  • The incorporation of adjacent information via prior probability is a key factor in performance enhancement.
  • The proposed method offers a valuable alternative to traditional unbiased estimators in specific scenarios.