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In eyewitness identification, in criminal law, evidence is received from a witness "who has actually seen an event and can so testify in court". [1]The Innocence Project states that "Eyewitness misidentification is the single greatest cause of wrongful convictions nationwide, playing a role in more than 75% of convictions overturned through DNA testing."
Wells' testimony in court cases and eyewitness research on system and estimator variables has influenced legislation and state Supreme Court decisions. States such as New Jersey, North Carolina, Ohio, Vermont, Illinois, and Connecticut, for example, now require double-blind lineups and other safeguards for eyewitness identification evidence ...
Research on eyewitness testimony looks at systematic variables or estimator variables. Estimator variables are characteristics of the witness, event, testimony, or testimony evaluators. Systematic variables are variables that are, or have the possibility of, being controlled by the criminal justice system.
Eyewitness memory is a person's episodic memory for a crime or other witnessed dramatic event. [1] Eyewitness testimony is often relied upon in the judicial system.It can also refer to an individual's memory for a face, where they are required to remember the face of their perpetrator, for example. [2]
Thus unlike non-Bayesian approach where parameters of interest are assumed to be deterministic, but unknown constants, the Bayesian estimator seeks to estimate a parameter that is itself a random variable. Furthermore, Bayesian estimation can also deal with situations where the sequence of observations are not necessarily independent.
According to a 2001 survey of experts on eyewitness testimony, 87% found the weapon focus effect to be sufficiently reliable to form the basis of expert testimony in criminal trials. [34] Regarding eyewitness testimony, another study by Shaw and Skolnick (1994) discovered that sex plays a role in eyewitness memory and recall of a crime.
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound.
Some variables that were found to affect performance were context reinstatement, target distinctiveness, elaboration at encoding, exposure time, cross-racial identification, and retention interval. Penrod also did a study, "Choosing, confidence, and accuracy: A meta-analysis of the confidence-accuracy relation in eyewitness identification ...