Business Commons^™

Cultivating The Customer Asset, William Bleuel

William H. Bleuel

Improve service by recognizing different stages of customer development.

A Multimodal Traffic Network Equilibrium Model With Emission Pollution Permits, Anna Nagurney, Kathy K. Dhanda, Padma Ramanujam

Kathy K Dhanda

No abstract provided.

Additive Nonparametric Regression With Autocorrelated Errors, Michael S. Smith, C Wong, Robert Kohn

Michael Stanley Smith

A Bayesian approach is presented for nonparametric estimation of an additive regression model with autocorrelated errors. Each of the potentially nonlinear components is modelled as a regression spline using many knots, while the errors are modelled by a high order stationary autoregressive process parameterised in terms of its autocorrelations. The distribution of significant knots and partial autocorrelations is accounted for using subset selection. Our approach also allows the selection of a suitable transformation of the dependent variable. All aspects of the model are estimated simultaneously using Markov chain Monte Carlo. It is shown empirically that the proposed approach works well …

Combining Multi-Attribute Utility And Geographic Information For Boundary Decisions: An Application To Park Planning, Jeffrey Keisler, Ronald Sundell

Jeffrey Keisler

Combining Multi-Attribute Utility And Geographic Information For Boundary Decisions: An Application To Park Planning, Jeffrey Keisler, Ronald Sundell

Jeffrey Keisler

The quality and value of an area depend primarily on what is found within its designated boundaries. To determine the value of such areas in terms of boundaries, we have developed a methodology for integrating multi-attribute utility functions with spatial analysis so that desirable, or appropriate, boundaries can be determined on the basis of the goals and objectives for the park. The key to successful evaluation is the development of measures for what decision makers value, rather than merely using what is easily measured. In a detailed example for planning of national parks, the fundamental objectives are conservation and societal …

A General Multiproduct, Multipollutant Market Pollution Permit Model: A Variational Inequality Approach, Anna Nagurney, Kathy Kanwalroop Dhanda, John K. Stranlund

Kathy K Dhanda

In this paper, we develop a new model in marketable pollution permits that consists of perfectly competitive, multi-product, multi-pollutant firms. The formulation and qualitative analysis of the model, as well as the computational approach, are based on the theory of variational inequalities.

A Bayesian Approach To Bivariate Nonparametric Regression, Michael Smith, Robert Kohn

Michael Stanley Smith

No abstract provided.

A General Multiproduct, Multipollutant Market Pollution Permit Model: A Variational Inequality Approach, Anna Nagurney, Kathy K. Dhanda, John Stranlund

Kathy K Dhanda

No abstract provided.

Nonparametric Regression Using Bayesian Variable Selection, Michael Smith, Robert Kohn

Michael Stanley Smith

No abstract provided.

Finite Sample Performance Of Robust Bayesian Regression, Michael Smith, Sheather Simon, Kohn Robert

Michael Stanley Smith

No abstract provided.

A Variational Inequality For Marketable Pollution Permits, Anna Nagurney, Kathy Dhanda

Kathy K Dhanda

No abstract provided.

A Bayesian Approach To Additive Nonparametric Regression, Michael S. Smith, Robert Kohn

Michael Stanley Smith

This proceedings paper was the first to suggest using a Gaussian g-prior combined with a point mass to undertake Bayesian variable selection in a Gaussian linear regression model. It also was the first to suggest integrating out the regression parameters and variance in closed form, resulting in an efficient Gibbs sampling scheme. The idea was applied to estimate regression functions in an additive model by using a linear basis expansion for each component function in an additive model. The conference proceeding was eventually published in a slightly tighter form in Journal of Econometrics (1996).