|Statistics and Econometrics
By Steven Stern.
By E. Prescott.
Tests for AR(1) Parameter in Regression Models with Autocorrelated Errors. Univariate and multivariate Bayesian ARFIMA. By Nalini Ravishanker and coworkers.
By J. Newton
Originally by H. Akaike, modified by T. Morikawa, M. Sigemori, and T. Wada.
Complete code of six stand-alone Fortran programs for cluster analysis, described and illustrated in L. Kaufman and P.J. Rousseeuw (1990), "Finding Groups in Data: an Introduction to Cluster Analysis", Wiley.
Cluster generation, hierarchical clustering with influence detection, and K-Means clustering with influence detection, by Glenn Milligan.
Fortran 77 programs for correspondence analysis, by Jari Oksanen.
Computer Program for Multifactor Relative Risks and Tests of Hypotheses Using a Variance-Covariance Matrix from Linear and Log-Linear Regression, by Leif E. Peterson, Journal of Statistical Software v2 (1997).
Developed by Robert E. Kalaba and Leigh Tesfatsion, implements the flexible least squares (FLS) approach to time-varying linear regression proposed by Kalaba and Tesfatsion in "Time-Varying Linear Regression Via Flexible Least Squares," Computers and Mathematics With Applications 17 (1989), 1215-1245. The FLS program has been incorporated into the statistical packages SHAZAM (Version 8.0) and GAUSS (TSM version 1.2).