En este documento se proponen nuevos métodos con el objetivo de construir intervalos de confianza para el sesgo del estimador de mínimos cuadrados en dos etapas y para la distorsión del tamaño del test de Wald asociado a los modelos de variables instrumentales. Es importante destacar que...

Fault localization is one of the most difficult activities in software debugging. Many existing statistical fault-localization techniques estimate the fault positions of programs by comparing the program feature spectra between passed runs and failed runs. Some existing approaches develop...

This article considers a methodology for flexibly characterizing the relationship between a response and multiple predictors. Goals are (1) to estimate the conditional response distribution addressing the distributional changes across the predictor space, and (2) to identify important predictors...

We study unrepresentative observational data in survival analysis. The first paper focuses on proportional hazards regressionwhen observed subjects have different selection probabilities. Wedevelop methods which are applicable when the selectionprobabilities are unknown but estimated using...

Cointegration techniques are applied to a model of induced innovation based on the two-stage Constant Elasticity of Substitution (CES) production function. This approach results in direct tests of the inducement hypothesis, which are applied to agricultural data for the United Kingdom from 1953...

The bootstrap is a computationally intensive data analysis technique. It is particularly useful for analysing small datasets, and for estimating the sampling distribution of a statistic when it is intractable. We focus on bootstrap hypothesis testing of linear models. In this context, at...

In 2001, the ACM and IEEE Computing Curriculum stated that it was necessary to address "the need to develop implementation models that are international in scope and could be practiced in universities around the world." With increasing connectivity through the internet, the move towards a global...

This article is devoted to the analysis of dependence of total required financial means of Czech municipalities necessary for solving all current problems based on population, let us say on required CZK per person within the municipalities. This analysis was realized within the research and...

This undergraduate class serves as an introduction to probability and statistics, with emphasis on engineering applications. The first segment discusses events and their probability, Bayes' Theorem, discrete and continuous random variables and vectors, univariate and multivariate distributions,...

This course is a self-contained introduction to statistics with economic applications. Elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other applications of statistical tools to economic...