The vast majority of drugs entering human trials fail. This problem (called “attrition”) is widely
recognized as a public health crisis, and has been discussed openly for the last two …

METODOLOGÍA DE LA INVESTIGACIÓN SOCIAL CUANTITATIVA Page 1 METODOLOGÍA
DE LA INVESTIGACIÓN SOCIAL CUANTITATIVA Pedro López-Roldán Sandra Fachelli …

Interest in the skew-normal and related families of distributions has grown enormously over
recent years, as theory has advanced, challenges of data have grown, and computational …

This newly expanded and updated second edition of the best-selling classic continues to
take the" mystery" out of designing algorithms, and analyzing their efficacy and efficiency …

Sample design is key to all surveys, fundamental to data collection, and to the analysis and
interpretation of the data. Introduction to Survey Sampling, Second Edition provides an …

This is the only book actuaries need to understand generalized linear models (GLMs) for
insurance applications. GLMs are used in the insurance industry to support critical …

Many online data sets evolve over time as new entries are slowly added and existing entries
are deleted or modified. Taking advantage of this, systems for incremental bulk data …

Influenza infection imparts an age-related increase in mortality and morbidity. The most
effective countermeasure is vaccination; however, vaccines offer modest protection in older …

In this article, we discuss the implementation of various estimators proposed to estimate
quantile treatment effects. We distinguish four cases involving conditional and unconditional …

A distributed network is modeled by a graph having n nodes (processors) and diameter D.
We study the time complexity of approximating weighted (undirected) shortest paths on …