Add to ORKGTheoretical constraints on economic-model parameters often are in the form of inequality restrictions. For example, many theoretical results are in the form of monotonicity or nonnegativity restrictions. Inequality constraints can truncate sampling distributions of parameter estimators, so that asymptotic normality no longer is possible. Sampling theoretic asymptotic inference is thereby greatly complicated or compromised. We use numerical methods to investigate the resulting sampling properties of inequality constrained estimators produced by popular methods of imposing inequality constraints. In particular, we investigate the possible bias in the asymptotic standard errors of estimators of inequality constrained estimators, when the con...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
We propose a new \textit{quadratic programming-based} method of approximating a nonstandard density ...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
This is the publisher's version, also available electronically from http://www.economicsbulletin.com...
This is the publisher's version, also available electronically from http://www.economicsbulletin.com...
Thesis (Ph.D.)--University of Washington, 2020This dissertation studies the problem of uniform infer...
We review some of the recent results obtained for constrained estimation, involving possibly nondiff...
In linear models and multivariate normal situations, prior information in linear inequality form may...
AbstractThe generalized stochastic linear model with a set of independent linear inequality constrai...
Structure involving inequalities is often used in the statistical inference. Parameter estimation in...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
We propose a new \textit{quadratic programming-based} method of approximating a nonstandard density ...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
Theoretical constraints on economic model parameters often are in the form of inequality restriction...
This is the publisher's version, also available electronically from http://www.economicsbulletin.com...
This is the publisher's version, also available electronically from http://www.economicsbulletin.com...
Thesis (Ph.D.)--University of Washington, 2020This dissertation studies the problem of uniform infer...
We review some of the recent results obtained for constrained estimation, involving possibly nondiff...
In linear models and multivariate normal situations, prior information in linear inequality form may...
AbstractThe generalized stochastic linear model with a set of independent linear inequality constrai...
Structure involving inequalities is often used in the statistical inference. Parameter estimation in...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
In the analysis of contingency tables, often one faces two difficult criteria: sampled and target po...
We propose a new \textit{quadratic programming-based} method of approximating a nonstandard density ...