Parameters, in the plural form, has recently become popular with non-technical users to mean limits, but this should not be confused with the word's technical meaning.
In mathematics, statistics, and the mathematical
sciences, parameters (L: auxiliary measure) are
quantities that define certain relatively constant characteristics of systems or functions. Often represented by θ in general form, other symbols carry standard, specific
meanings. When evaluating the function over a domain or determining the response of the system
over a period of time, the independent variables are varied, while
the parameters are held constant. The function or system may then be reevaluated or reprocessed with different parameters, to
give a function or system with different behavior.
Loosely speaking, the term parameter is used for an argument which is intermediate in status between a variable and a constant.
Example
- In a section on frequently misused words in his book The Writer's Art, James J.
Kilpatrick quoted a letter from a correspondent, giving examples to illustrate the correct use of the word
parameter:
| “ |
W.M. Woods...a mathematician...writes... "...a variable is one of the many things a
parameter is not." ... The dependent variable, the speed of the car, depends on the independent variable, the position of
the gas pedal. |
” |
| “ |
[Kilpatrick quoting Woods] "Now...the engineers...change the lever arms of the
linkage...the speed of the car...will still depend on the pedal position...but in a...different manner. You have changed a
parameter" |
” |
- A parametric equaliser is an audio filter that
allows the frequency of maximum cut or boost to be set by one control, and the size of the cut
or boost by another. These settings, the frequency level of the peak or trough, are two of the parameters of a frequency response
curve, and in a two-control equaliser they completely describe the curve. More elaborate parametric equalisers may allow other
parameters to be varied, such as skew. These parameters each describe some aspect of the response curve seen as a whole, over all
frequencies. A graphic equaliser provides individual level controls for various frequency
bands, each of which acts only on that particular frequency band.
- If asked to imagine the graph of the relationship y = ax2, one
typically visualizes a range of values of x, but only one value of a. Of course a different value of a can
be used, generating a different graphical appearance. The a can therefore be considered to be a parameter: less variable
than the variable x, but less constant than the constant 2.
Parameters in various contexts in math and science
Mathematical functions
Mathematical functions typically can have one or more variables and zero or more parameters. The two are often distinguished
by being grouped separately in the list of arguments that the function takes:

The symbols before the semicolon in the function's definition, in this example the x's,
denote variables, while those after it, in this example the a's, denote parameters.
Strictly speaking, parameters are denoted by the symbols that are part of the function's definition, while arguments
are the values that are supplied to the function when it is used. Thus, a parameter might be something like "the ratio of the
cylinder's radius to its height", while the argument would be something like "2" or "0.1".
In some informal situations people regard it as a matter of convention (and therefore a historical accident) whether some or
all the arguments of a function are called parameters.
Analytic geometry
In analytic geometry, curves are often given as the
image of some function. The argument of the function is invariably called "the parameter". A circle of radius 1 centered at the
origin can be specified in more than one form:
- x2 + y2 = 1
- (x,y) = (cost,sint)
- where t is the parameter.
A somewhat more detailed description can be found at parametric equation.
Mathematical analysis
In mathematical analysis, one often considers "integrals dependent on a
parameter". These are of the form

In this formula, t is on the left-hand side the argument of the function F, and it is on the right-hand side the
parameter that the integral depends on. When evaluating the integral, t is held constant, and so it considered a
parameter. If we are interested in the value of F for different values of t, then, we now consider it to be a
variable. The quantity x is a dummy variable or variable of integration (confusingly, also sometimes called
a parameter of integration).
Probability theory
These traces all represent Poisson distributions, but with different values for the parameter λ
In probability theory, one may describe the distribution of a random variable as belonging to a
family of probability distributions, distinguished from each other by
the values of a finite number of parameters. For example, one talks about "a Poisson distribution with mean value λ". The function defining the distribution (the
probability mass function) is:

This example nicely illustrates the distinction between constants, parameters, and variables. e is Euler's Number, a fundamental mathematical
constant. The parameter λ is the mean number of observations of some phenomenon in question,
a property characteristic of the system. k is a variable, in this case the number of occurrences of the phenomenon
actually observed from a particular sample. If we want to know the probability of observing k1 occurrences, we
plug it into the function to get f(k1;λ). Without altering the system, we
can take multiple samples, which will have a range of values of k, but the system will always be characterized by the same
λ.
For instance, suppose we have a radioactive sample that emits, on average, five
particles every ten minutes. We take measurements of how many particles the sample emits over ten-minute periods. The
measurements will exhibit different values of k, and if the sample behaves according to Poisson statistics, then each
value of k will come up in a proportion given by the probability mass function above. From measurement to measurement,
however, λ remains constant at 5. If we do not alter the system, then the parameter λ is unchanged from measurement to
measurement; if, on the other hand, we modulate the system by replacing the sample with a more radioactive one, then the
parameter λ would increase.
Another common distribution is the normal distribution, which has as parameters
the mean μ and the variance σ2.
It is possible to use the sequence of moments (mean, mean square, ...) or
cumulants (mean, variance, ...) as parameters for a probability distribution.
Statistics and econometrics
In statistics and econometrics, the probability
framework above still holds, but attention shifts to estimating the parameters of a
distribution based on observed data, or testing hypotheses about them. In
classical estimation these parameters are considered "fixed but unknown", but in
Bayesian estimation they are random variables with distributions of their own.
It is possible to make statistical inferences without assuming a particular parametric family of probability
distributions. In that case, one speaks of non-parametric statistics as
opposed to the parametric statistics described in the previous paragraph. For
example, Spearman is a non-parametric test as it is computed
from the order of the data regardless of the actual values, whereas Pearson is a parametric test as it is computed directly from the data and
can be used to derive a mathematical relationship.
Statistics are mathematical characteristics of samples which can be used as estimates of
parameters, mathematical characteristics of the populations from which the samples are drawn. For example, the sample mean
(
) can be used as an
estimate of the mean parameter (μ) of the population from which the sample was drawn.
Other fields
Other fields use the term "parameter" as well, but with a different meaning.
Logic
In logic, the parameters passed to (or operated on by) an open predicate are called
parameters by some authors (e.g., Prawitz, "Natural Deduction"; Paulson, "Designing a
theorem prover"). Parameters locally defined within the predicate are called variables. This extra distinction pays off
when defining substitution (without this distinction special provision has to be made to avoid variable capture). Others (maybe
most) just call parameters passed to (or operated on by) an open predicate variables, and when defining substitution have
to distinguish between free variables and bound variables.
Engineering
In engineering (especially involving data acquisition) the term parameter
sometimes loosely refers to an individual measured item. For example an airliner flight
data recorder may record 88 different items, each termed a parameter. This usage isn't consistent, as sometimes the term
channel refers to an individual measured item, with parameter referring to the setup information about that
channel.
"Speaking generally, properties are those physical quantities which directly describe the physical attributes of the
system; parameters are those combinations of the properties which suffice to determine the response of the system.
Properties can have all sorts of dimensions, depending upon the system being considered; parameters are dimensionless, or have
the dimension of time or its reciprocal." John D. Trimmer, 1950, Response of Physical Systems (New York: Wiley), p. 13.
The term can also be used in engineering contexts, however, as it is typically used in the physical sciences.
Computer science
-
When the terms formal parameter and actual parameter are used, they generally correspond with the
definitions used in computer science. In the definition of a function such
as
- f(x) = x + 2,
x is a formal parameter. When the function is used as in
- y = f(3) + 5 or just the value of f(3),
3 is the actual parameter value that is used to solve the equation. These concepts are discussed in a more
precise way in functional programming and its foundational disciplines,
lambda calculus and combinatory logic.
In computing, the values passed to a function subroutine are more normally called
arguments.
See also
This entry is from Wikipedia, the leading user-contributed encyclopedia. It may not have been reviewed by professional editors (see full disclaimer)