The higher-order linear moments (LH-moments) method is one of the most commonly used methods for estimating parameters probability distributions in flood frequency analysis without sample censoring. This article presents relationships necessary to estimate eight analysis. Eight three using first- and second-order LH-moments are presented, namely Pearson V distribution, CHI inverse Wilson–Hilfer...

Statistical analysis of extreme events such as flood is often carried out to predict large return period events. The behaviour not only involves heavy-tailed distributions but also skewed distributions, similar the four-parameter Kappa distribution (K4D). In general, this covers many generalized logistic (GLD), value (GEV), Pareto (GPD), and so on. To utilize these we have estimate parameters a...

Retrieving images from large and varied repositories using visual contents has been one of major research items, but a challenging task in the image management community. In this paper we present an efficient approach for region-based image classification and retrieval using a fast multi-level neural network model. The advantages of this neural model in image classification and retrieval domain...

Hand-gesture recognition presents a challenging problem for computer vision due to the articulated structure of the human hand and the complexity of the environments in which it is typically applied. Solving such a problem requires a robust tracking mechanism which in turn depends on an effective feature descriptor and classifier. Moment invariants, as discriminative feature descriptors, have b...

Application of the method of moments for the parametric distribution is common in the construction of a suitable parametric distribution. However, moment method of parameter estimation does not produce good results. An alternative approach when constructing an appropriate parametric distribution for the considered data file is to use the so-called order statistics. This paper deals with the use...

This paper considers the application of method of percentile matching available in statistical theory of estimation for estimating the parameters involved in uncertainty distributions. An empirical study has been carried out to compare the performance of the proposed method with the method of moments and the method of least squares considered by Wang and Peng (J. Uncertainty Analys. Appl. 2, (2...

We have developed a novel method for non-contact measurement of breathing function. The method is based on statistical modeling of dynamic thermal data captured through a highly sensitive infrared imaging system. The air that is breathed out has higher temperature than the typical background of indoor environments (e.g., walls). Therefore, the particles of the expired air emit at a higher power...

The performance of the method of angular moments on the ∆Γs determination from analysis of untagged decays B s (t), B 0 s(t) → J/ψ(→ l+l−)φ(→ KK) is examined by using the SIMUB generator. The results of Monte Carlo studies with evaluation of measurement errors are presented. The method of angular moments gives stable results for the estimate of ∆Γs and is found to be an efficient and flexible t...

We give a polynomial time algorithm to find the population variance of tour costs over the solution space of the symmetric Traveling Salesman Problem (TSP). In practical terms the algorithm provides a linear time method, on the number of edges of the problem, for determining the standard deviation of these costs. Application of the algorithm has produced empirical evidence that there is a clear...

Lip synchronization is the determination of the motion of the mouth and tongue during speech. It can be deduced from the speech signal without phonemic analysis, and irrespective of the content of the speech. Our method is based on the observation that the position of the mouth over a short interval of time can be correlated with the basic shape of the spectrum of the speech over that same inte...