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Quality models for software architecture are taxonomies of quality attributes, commonly used to specify and evaluate nonfunctionalrequirements. Most quality models offer a two-level approach, distinguishing externally ob...

El objetivo de este trabajo es presentar un primer conjunto de resultados empíricos acerca de la hipótesis de raíz unitaria en el PBI argentino. Se utilizan técnicas de muestra completa y métodos iterativos reciente...

We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-ba...

Construct Validity in Psychological TestsVALIDATION of psychological tests has not yet been adequately concep tua1ized, as the APA Committee on Psychological Tests learned when it undertook to specify what qualities shou...

Chitosan is increasingly used as an alternative to synthetic polymers due to its water solubility, biodegradability, and biological activity. In this work, chitosan samples from three suppliers were evaluated and charact...

Abstract In a 1935 paper and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of a scientific theory. The centerpiece was a number, now called the Bayes factor, wh...

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of spec...

Medical educators attempt to create reliable and valid tests and questionnaires in order to enhance the accuracy of their assessment and evaluations. Validity and reliability are two fundamental elements in the evaluatio...

BACKGROUND: the analysis of microbial communities through dna sequencing brings many challenges: the integration of different types of data with methods from ecology, genetics, phylogenetics, multivariate statistics, vis...