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The following terms are used by [[electrical engineer]]s in [[statistical signal processing]] studies instead of typical statistician's terms.
<center>
{| class="wikitable"
! Statistics
! Electrical engineering
|-
|[[Null hypothesis]]
|Noise only hypothesis
|-
|[[Alternative hypothesis]]
|Signal + noise hypothesis
|-
|[[Critical region]]
|Signal present decision region
|-
|[[Type I error]]
|False alarm (FA) (noted as <math>P_{FA}</math>)
|-
|[[Type II error]]
| Miss <ref>The detection probability (noted as <math>P_{D}</math>) is frequently used instead of miss probability given by <math>1-P_{D}</math></ref>
|}
</center>
 
In other engineering fields, particularly [[mechanical engineering]], uncertainty analysis examines systematic and random components of variations in measurements associated with physical experiments.
 
== References ==
#S.M. Kay, Fundamentals of Statistical Signal Processing, ISBN 0-13-504135-X.
#H. Coleman and W. G. Steele, Experimentation and uncertainty analysis for engineers, ISBN 0-471-12146-0.
 
== Notes ==
{{reflist}}
 
 
[[Category:Detection theory]]
[[Category:Hypothesis testing]]
[[Category:Laymen and statistics]]

Revision as of 18:57, 9 January 2014

The following terms are used by electrical engineers in statistical signal processing studies instead of typical statistician's terms.

Statistics Electrical engineering
Null hypothesis Noise only hypothesis
Alternative hypothesis Signal + noise hypothesis
Critical region Signal present decision region
Type I error False alarm (FA) (noted as )
Type II error Miss [1]

In other engineering fields, particularly mechanical engineering, uncertainty analysis examines systematic and random components of variations in measurements associated with physical experiments.

References

  1. S.M. Kay, Fundamentals of Statistical Signal Processing, ISBN 0-13-504135-X.
  2. H. Coleman and W. G. Steele, Experimentation and uncertainty analysis for engineers, ISBN 0-471-12146-0.

Notes

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  1. The detection probability (noted as ) is frequently used instead of miss probability given by