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In parametric

approach

is a two step process and

first

a

function

form is assumed. Whereas no assumption is made in the non-parametric

approach

.

Parametric

Suggestion

The parametric approach

approach

reduces the problem of estimating the

function

to a few parameters, which simplifies the problem.

Where as

Suggestion

Whereas

in non-parametric

approach

we try to find an estimate of the

function

that is

very close to the actual data points as possible. The main advantage of the parametric

approach

is

simplification

Suggestion

a simplification

of the problem

from

Suggestion

of

estimating the

function

to estimating a few

set

Suggestion

sets

of parameters.

In addition

the number of

observation

Suggestion

observations

required to estimate the

function

is less compared to non-parametric

approach

. The disadvantages with parametric

approach

is there is a possibility that the model chosen to estimate

f

connects a noun with the preceding word

of

of of

is different from the actual true form of the f and

this

result in poor predictions.

Also

, trying to avoid

this

by choosing more flexible models might result in over fitting and

increase

Suggestion

an increase

in errors.