Nonlinear modeling of time series using Multivariate Adaptive Regression Splines (MARS) View on Open Library

Nonlinear modeling of time series using Multivariate Adaptive Regression Splines (MARS)

by Peter A. W. Lewis

No reviews yet
First published: 1990 1 language
Subjects
Regression analysis Mathematical models Time-series analysis Multivariate analysis Nonlinear theories

Reviews

Log in or sign up to write a review.

No reviews yet. Be the first!

More by Peter A. W. Lewis

Simulation methodology for statisticians, operations analysts, and engineers

Simulation methodology for statisticians...

SASE VI and the statistical analyses of series in events in computer systems

SASE VI and the statistical analyses of ...

Stationary exponential time series

Stationary exponential time series

Reversed residuals in autoregressive time series analysis

Reversed residuals in autoregressive tim...

Interactive analysis of gappy bivariate time series using AGSS

Interactive analysis of gappy bivariate ...

Variance reduction for quantile estimates in simulations via nonlinear controls

Variance reduction for quantile estimate...

You Might Also Like

More in Regression analysis
A beginner's guide to structural equation modeling

A beginner's guide to structural equatio...

Randall E. Schumacker
A Guide to Modern Econometrics

A Guide to Modern Econometrics

Marno Verbeek
Applied Regression Modeling

Applied Regression Modeling

Iain Pardoe
Multiple Regression and Beyond

Multiple Regression and Beyond

Timothy Z. Keith
Highway safety

Highway safety

United States. General Accounting Office
Extending the Linear Model with R

Extending the Linear Model with R

Julian J. Faraway