Title
On the Accuracy and Cost of Numerical Integration in Several Variable
Author(s)
Mark W. Plant Mark Plant (Princeton University)
Richard E. Quandt Richard Quandt (Princeton University)
Abstract
The paper examines seven methods of numerical integration, including both special purpose algorithms designed for the multivariate normal density and general algorithms such as Gauss-Legendre and Newton-Cotes methods. With the aid of some five functions, the accuracy of these methods and their computational cost are compared in matched experiments on an IBM 370/3081 Model K and a 2-pipe CYBER 205. The effect of vectorised computation is also examined.
Creation Date
1987-05
Section URL ID
IRS
Paper Number
220
URL
https://dataspace.princeton.edu/bitstream/88435/dsp01w0892993j/1/220.pdf
File Function
Jel
D6
Keyword(s)
numerical integration, latent variable models
Suppress
false
Series
1