In this paper we approximate large sets of univariate data by piecewise linear functions which interpolate subsets of the data using adaptive thinning strategies Rather than minimize the global error at each removal AT we propose a much cheaper thinning strategy AT which only minimizes errors locally Interestingly the two strategies are equivalent in all our numerical tests and we prove this to...

In commodity-based industries, accurate sales forecast is very important for effective inventory management and decision-making. Univariate multivariate time series forecasting methods have been widely used to predict commodity sales. The purpose of this study make a comprehensive comparative analysis these two under the background forecast. Firstly, concept prediction its significance in field...

Ovarian cancer (OC) is the second most common gynecological malignancy and tumor with worst prognosis. To try to improve this situation, Data Science technologies could be a useful tool help clinicians know more about disease. In our case, we are interested in exploring OC data discover relationships between clinical genetic factors disease progression. For it, propose an analysis framework for...

Among several implicitization methods, the method based on resultant computation is a simple and direct one, but it often brings extraneous factors which are difficult to remove. This paper studies a class of rational space curves and rational surfaces by implicitization with univariate resultant computations. This method is more efficient than the other algorithms in finding implicit equations...

We present explicit worst case degree and height bounds for the rational univariate representation of the isolated roots of polynomial systems based on mixed volume. We base our estimations on height bounds of resultants and we consider the case of 0-dimensional, positive dimensional, and parametric polynomial systems. CCS Concepts •Computing methodologies→ Symbolic calculus algorithms;

The univariate conditioning of copulas is studied, yielding a construction method for copulas based on an a priori given copula. Based on the gluing method, g-ordinal sum of copulas is introduced and a representation of copulas by means of g-ordinal sums is given. Though different right conditionings commute, this is not the case of right and left conditioning, with a special exception of Archi...

We revisit the classic problem of estimating the population mean of an unknown singledimensional distribution from samples, taking a game-theoretic viewpoint. In our setting, samples are supplied by strategic agents, who wish to pull the estimate as close as possible to their own value. In this setting, the sample mean gives rise to manipulation opportunities, whereas the sample median does not...

Background and aims: Infertility is a major problem during reproductive age. Physical and psychological effects of infertility in women are problematic. The aim of this study was to determine the potential predictive factors of infertility, among women referring both public and private health centers in Ilam province, western Iran, in 2013. Methods: In this cross-sectional study, 1013 women re...