A series defined by the expression
where is the normalized value of a random variable.
The series (1) is known as the Gram–Charlier series of type ; here
is the -th derivative of , which can be represented as
where are the Chebyshev–Hermite polynomials. The derivatives and the polynomials are orthogonal, owing to which the coefficients can be defined by the basic moments of the given distribution series. If one restricts to the first few terms of the series (1), one obtains
The series (2) is known as a Gram–Charlier series of type ; here
while are polynomials analogous to the polynomials .
If one restricts to the first terms of the series (2), one obtains
Here are the central moments of the distribution, while .
These are convenient for the interpolation between the values of the general term of the binomial distribution, where
is the characteristic function of the binomial distribution. The expansion of in powers of yields a Gram–Charlier series of type for , whereas the expansion of in powers of yields a Gram–Charlier series of type .
|[G]||J.P. Gram, "Ueber die Entwicklung reeller Funktionen in Reihen mittelst der Methode der kleinsten Quadraten" J. Reine Angew. Math. , 94 (1883) pp. 41–73|
|[Ch]||C.V.L. Charlier, "Frequency curves of type in heterograde statistics" Ark. Mat. Astr. Fysik , 9 : 25 (1914) pp. 1–17|
|[M]||A.K. Mitropol'skii, "Curves of distributions" , Leningrad (1960) (In Russian)|
Cf. also Edgeworth series.
|[Cr]||H. Cramér, "Mathematical methods of statistics" , Princeton Univ. Press (1946) pp. Sect. 17.6|
Gram–Charlier series. Encyclopedia of Mathematics. URL: http://www.encyclopediaofmath.org/index.php?title=Gram%E2%80%93Charlier_series&oldid=22526