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This paper presents an analysis of the aspects to take into account when reformulating the teaching and learning processes of a first course of Algorithmics employing elements of Distance Education in a Web-based virtual...

The growing importance and interest in parallel processing within Computer Sciences are undeniable, and thus make it one of the more influencing areas of this discipline. Several reasons support this fact, such as the in...

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis prov...

Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and char...

"The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availabil...

Previous article Next article Fractional Brownian Motions, Fractional Noises and ApplicationsBenoit B. Mandelbrot and John W. Van NessBenoit B. Mandelbrot and John W. Van Nesshttps://doi.org/10.1137/1010093PDFBibTexSecti...

Part 1 The Research Enterprise in the Social and Behavioral Sciences: Then and Now Ch 1 Major Issues and Controversies in the Use of Methods in the Social and Behavioral Sciences - Charles Teddlie, Abbas Tashakkori Ch 2 ...

Subjects / keywords: Programming languages (Electronic computers); R (Computer program language); Social sciences; Data processing; Electronic books

Subjects / keywords: Ecology; Data processing; Environmental sciences; R (Computer program language)

Subjects / keywords: SPSS (Computer file); Handbooks, manuals, etc; Social sciences; Statistical methods; Computer programs; Electronic books

Subjects / keywords: Multiagent systems; NetLogo (Computer program language); Social sciences; Statistical methods

Subjects / keywords: SPSS for Windows; Social sciences; Statistical methods; Computer programs; Electronic books

Subjects / keywords: SPSS for Windows; R (Computer program language); Social sciences; Statistical methods; Computer programs

Chapter 1. Research Strategies and the Control of Nuisance Variables Chapter 2. Experimental Designs: an Overview Chapter 3. Fundamental Assumptions in Analysis of Variance Chapter 4. Completely Randomized Design Chapter...

Subjects / keywords: Mathematical sciences; Mathematics; Computer science; Mathematics education

Subjects / keywords: Statistical power; Power analysis; Statistical analysis; Behavioural sciences; Power (physics); Psychology; Computer science; Statistics; Econometrics; Mathematics; Data science; Physics

Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefor...

BACKGROUND: There is a growing recognition of the value of synthesising qualitative research in the evidence base in order to facilitate effective and appropriate health care. In response to this, methods for undertaking...

We introduce a new class of problems called network information flow which is inspired by computer network applications. Consider a point-to-point communication network on which a number of information sources are to be ...

Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for ...

An optimum method of coding an ensemble of messages consisting of a finite number of members is developed. A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message i...

We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is represented as a deep convolutional neural...

In this paper trade-offs among certain computational factors in hash coding are analyzed. The paradigm problem considered is that of testing a series of messages one-by-one for membership in a given set of messages. Two ...

Uncertainties in measurements probability distributions error analysis estimates of means and errors Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-squares fit to an ar...