𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A corrected normal approximation for the Student’s t distribution

✍ Scribed by Baibing Li; Bart De Moor


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
61 KB
Volume
29
Category
Article
ISSN
0167-9473

No coin nor oath required. For personal study only.

✦ Synopsis


For the Student's t cumulative distribution function F(x; n) with n ≥ 3 degrees of freedom, a corrected normal approximation, ( x), is proposed as an extension of the well-known ordinary normal approximation (x), where (x) is the standard normal cumulative distribution and = (x; n) is a shrinking factor (0¡ ¡1). This approximation has a theoretical error O(1=n 2 ) uniformly in x. Numerical results show that it can give satisfactory accuracy for even very small n. Thus, it provides a competitive alternative because of its reasonable balance between accuracy and simplicity.


📜 SIMILAR VOLUMES


A Simple Approximation to the Bivariate
✍ W. Albers; W.C.M. Kallenberg 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 307 KB

The bivariate normal distribution function is approximated with emphasis on situations where the correlation coefficient is large. The high accuracy of the approximation is illustrated by numerical examples. Moreover, exact upper and lower bounds are presented as well as asymptotic results on the er

Estimating the lead-time demand distribu
✍ Bong-Geun An; Stergios B. Fotopoulos; Min-Chiang Wang 📂 Article 📅 1989 🏛 John Wiley and Sons 🌐 English ⚖ 764 KB

The exact first four moments of lead-time demand L are derived for an AR(1) and a MA(1) demand structures where the arbitrary lead-time distribution is assumed to be independent of the demand structure. These moments then form a basis for the Pearson curve-fitting procedure for estimating the distri