The defense industry in the United Kingdom has experienced significant structural change since the end of the Cold War. Consolidation has occurred and overseas suppliers have entered while some domestic prime contractors have exited. The implications of consolidation for innovation have been...

Tests based on generalized-method-of-moments estimators often have true levels that differ greatly from their nominal levels when asymptotic critical values are used. This paper gives conditions under which the bootstrap provides asymptotic refinements to the critical values of t tests and the...

Motivated by the problem of setting prediction intervals in time series analysis, we suggest two new methods for conditional distribution estimation. The first method is based on locally fitting a logistic model and is in the spirit of recent work on locally parametric techniques in density...

The challenge of implementing high cost innovative technologies in health care systems operating under significant budgetary pressure has seen a radical shift in the health technology reimbursement landscape. New reimbursement strategies attempt to reduce the risk of making the wrong decision;...

This study documents an investigation into the potential for high-speed rail (HSR) service in California between Los Angeles and San Francisco/Sacramento via a new alignment in the Central Valley. An earlier report, IURD Working Paper 564, reviewed technology and alignment issues, recommended a...

This is the age of the train: certainly in Japan and in Europe; probably, soon, on the East Coast. The urgent question is whether California will catch the train, whether indeed it should catch the train, and if so how.  Modern high-speed train travel involves trains that achieve sustained...

In this paper we propose simple, general tiered classifiers for relatively complex data. Empirical studies on real and simulated data show that three two-tier classifiers, which are respective extensions of linear discriminant analysis, linear logistic regression and support vector machines, can...

In some problems involving functional data, it is desired to undertake prediction or classification before the full trajectory of a function is observed. In such cases, it is often preferable to suffer somewhat greater error in return for making a decision relatively early. The prediction and...