We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then we define p functional components in [0, 1], which have two importantfeatures. First, the purpose of each of these p components is to estimate...

We introduce a new method to robustifying inference that can be applied in any situation where a parametric likelihood is available. The key feature is that data from the postulated parametric models are assumed to be measured with error where the measurement error distribution is chosen to...

In many clinical studies, researchers are mainly interested in studying the effects of some prognostic factors on the hazard of failure from a specific cause while individuals may failure from multiple causes. This leads to a competing risks problem. Often, due to various reasons such as finite...

Inference on treatment effect in a pretest–posttest study is a routine objective in medicine, public health, and other fields, and a number of approaches have been advocated. Typically, subjects are randomized to two treatments, the response is measured at baseline and a prespecified...

Supporters claim that entrepreneurship is critical to building and sustaining the regional economies of urban and rural areas across the nation. Proponents argue that economic development practices that enhance and support entrepreneurship are essential because they cultivate innovation which,...

The development in the consumption of fruit andvegetables in the period 1999-2004 in Denmark wasinvestigated using quantile regression and two previouslyoverlooked problems were identified. First, the change in theten percent quantile samples decreased. This could have beencaused by changes in...

The purpose of the current paper is to explain how one can forecast the effect of an elected tax on saturatedfat on the demand for butter. The tax is to take affect from the first of January 2010 in Denmark. The tax is supposedto affect the consumption of saturated fat and especially high...

This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach. Better insights are reached using the proposed methodology that provides robust farm...

This paper examines the effects of farm characteristics and government policies in enhancing productivity growth for a sample of Greek farms, using a two-stage procedure. In the 1st-stage, non-parametric estimates of Malmquist index and its decompositions are computed, while a bootstrapping...

This paper investigates the dynamics of sequential decision-making in agricultural futures andoptions markets using a quantile regression framework. Analysis of trading records of 12 traderssuggests that there is great heterogeneity in individual trading behavior. Traders responddifferently to...