Stimulus-response Model

The stimulus-response model describes a statistical unit as making a quantitative response to a quantitative stimulus administered by the researcher. The object of this kind of research is to establish a mathematical function that describes the relation f between the stimulus x and the expected value (or other measure of location) of the response Y:
E(Y) = f(x)
The most common form assumed for such functions is linear, thus we expect to see a relationship like
E(Y) = \alpha + \beta x.
Statistical theory for linear models has been well developed for more than fifty years and a standard form of analysis called linear regression has been developed.

 

<< PreviousWord BrowserNext >>
suse
sexual intercourse
spitfire
supermarine
list of spanish language poets
set theory
smallpox
sabine baring gould
salt
solar deity
stendhal syndrome
list of spanish proverbs
suad husni
software development process
summer olympic games
shareware
substance theory
superfluid
simon flexner
statistical regularity
statistical model
statistical inference
survey sampling
statistical theory
statistical unit
statistical assembly
statistical population
statistical sample
summary statistics
range (statistics)
statistical dispersion
standard deviation
statistical assumptions
statistical independence
span
sherri austin
stratified sampling
sample
sonny bono copyright term extension act
science fiction and fantasy writers of america
soul coughing
science fiction on television
skeleton
sarah michelle gellar