In this paper we review recent developments on a bootstrap method for robust estimators which is computationally faster and more resistant to outliers than the classical bootstrap. This fast and robust bootstrap method is, under reasonable regularity conditions, asymptotically consistent. We describe the method in general and then consider its application to perform inference based on robust es...

herbal water is referred to the liquid obtained from the distillation of medicinal plants. different parts of plants, such as flowers, fruits, leaves, seeds and roots have long been used to produce herbal waters. herbal waters are used as dietary supplements and alternative medicine and are commonly used for flavoring in baking. previous studies focused on the non-volatile constituents of herbs...

This paper presents a complete analysis of the positional errors of terrestrial laser scanning (TLS) data based on spherical statistics and 3D graphs. Spherical statistics are preferred because of the 3D vectorial nature of the spatial error. Error vectors have three metric elements (one module and two angles) that were analyzed by spherical statistics. A study case has been presented and discu...

In this paper we present an approach for the realtime indirect acquisition of specific fingerings that produce harmonic notes on the flute. We analyse both temporal and spectral characteristics of the attack of harmonic notes which are being produced by specific control gestures involving fingering and potentially overblowing. We then show that it is possible to acquire this effect through sign...

This paper explores the idea that institutional details matter and that attempts to estimate the economic effects of federalism by employing a simple dummy variable neglect potentially important institutional details. Based on a principal component analysis, seven aspects of both federalism and decentralization are used as variables for explaining differences in (1) fiscal policy, (2) governmen...

-Recent interest has arisen regarding the application of principal component analysis (PCA) -style methods for the analysis of large neuroimaging data sets. However, variation between different implementation of these techniques has resulted in some confusion regarding the uniqueness of these approaches. In the present article, we attempt to provide a more unified insight into the use of PCA as...

In this paper, we study the probability distribution of observable $s = (1/N)\sum_{i=N-N'+1}^N x_i$, with $1 \leq N' N$ and $x_1<x_2<\cdots< x_N$ representing ordered positions $N$ particles in a $1d$ one-component plasma, i.e., harmonically confined charges on line, pairwise repulsive Coulomb interaction $|x_i-x_j|$. This represents an example truncated linear statistics -- here center mass $N...