Search results for "Series"
showing 10 items of 1193 documents
El ojo parcheado
1988
Reflexión en torno a las estrategias de las telenovelas latinoamericanas.
Spaces of Dirichlet series
2019
This work is dedicated to the study of multiple Dirichlet series and it focuses on three main aspects: convergence, spaces of bounded multiple Dirichlet series and the composition operators of such spaces. In the first chapter we give the necessary preliminary results on regular convergence of double and multiple series and its equivalence with the definition of convergence in a restricted sense. We also recall sequences of bounded variation and we show how they are the multipliers of convergent series in the space of sequences, extending also this characterization to double and multiple regularly conergent series. In the second chapter we recall the fundamentals on the theory of bounded or…
Contenedor hipermedia de estadística aplicada a las ciencias económicas y sociales (CEACES)
2010
CEACES es un contenedor hipermedia creado para la docencia de la estadística en las ciencias sociales, en especial para la economía. Contiene referencias y desarrollos teóricos, ejercicios, problemas, test, videos, aplicaciones…. Todo está estructurado en base a los habituales temas o bloques en los que se desarrolla esta materia. Además contiene una calculadora estadística capaz de realizar las funciones matemáticas relacionadas. CEACES és un contenidor hipermedia creat per a la docència de l'estadística en les ciències socials, en especial per a l'economia. Conté referències i desenvolupaments teòrics, exercicis , problemes, test,vídeos, aplicacions…. Tot estructurat basant-se en els habi…
Ultrarelativistic bound states in the spherical well
2016
We address an eigenvalue problem for the ultrarelativistic (Cauchy) operator $(-\Delta )^{1/2}$, whose action is restricted to functions that vanish beyond the interior of a unit sphere in three spatial dimensions. We provide high accuracy spectral datafor lowest eigenvalues and eigenfunctions of this infinite spherical well problem. Our focus is on radial and orbital shapes of eigenfunctions. The spectrum consists of an ordered set of strictly positive eigenvalues which naturally splits into non-overlapping, orbitally labelled $E_{(k,l)}$ series. For each orbital label $l=0,1,2,...$ the label $k =1,2,...$ enumerates consecutive $l$-th series eigenvalues. Each of them is $2l+1$-degenerate. …
Non-periodic Discrete Splines
2015
Discrete Splines with different spans were introduced in Sect. 3.3.1. This chapter focuses on a special case of discrete splines whose spans are powers of 2. These splines are discussed in more detail. The Zak transform provides an integral representation of such splines. Discrete exponential splines are introduced. Generators of the discrete-spline spaces are described whose properties are similar to properties of polynomial-spline spaces generators. Interpolating discrete splines provide efficient tools for upsampling 1D and 2D signals. An algorithm for explicit computation of discrete splines is described.
Fractional-order theory of thermoelasticicty. I: Generalization of the Fourier equation
2018
The paper deals with the generalization of Fourier-type relations in the context of fractional-order calculus. The instantaneous temperature-flux equation of the Fourier-type diffusion is generalized, introducing a self-similar, fractal-type mass clustering at the micro scale. In this setting, the resulting conduction equation at the macro scale yields a Caputo's fractional derivative with order [0,1] of temperature gradient that generalizes the Fourier conduction equation. The order of the fractional-derivative has been related to the fractal assembly of the microstructure and some preliminary observations about the thermodynamical restrictions of the coefficients and the state functions r…
Timing the US Stock Market Using Moving Averages and Momentum Rules: An Extensive Study
2017
Master's thesis Business Administration BE501 - University of Agder 2017 In this thesis we investigate the performance of moving average and momentum strategies by simulating returns, both in-sample and out-of-sample, while simultaneously taking into account important market frictions. We do so for two stock indices and four stock portfolios, at daily and monthly frequency, in the period from 1928 to 2015. This is carried out in order to examine if the active strategies outperform the passive benchmark on a risk-adjusted basis, and to see if the trading rules pro table when tested in-sample also are pro table out-of-sample. In addition, and for the rst time, we examine the relevance of data…
Relationship between XPS core binding energies and atomic charge in adducts of SnIV derivatives with pyrazine, and comparison with mössbauer isomer s…
1981
Abstract Adducts Snhal·pyz (hal = Cl, Br, I; pyz = pyrazine), RnSnCl 4−n ·pyz (n = 1, R = Me, Bu n , Oct n , Ph; n = 2, R = Ph) and SnCl 4 ·(pyz) 2 have been investigated by X-ray photoelectron spectroscopy. Binding energy (b.e.) values are discussed in the light of structural characteristics of the adducts as well as of valence state electronegativities of atoms and groups bound to tin. Sn 3d 5 2 b.e.s, corrected for the Madelung potential at the metal atom, linearly correlate with both partial atomic charges on tin, accounting for relaxation upon ionization, and 119 Sn Mossbauer isomer shifts. The results are interpreted in terms of six-coordinated, octahedral type, configurations of the …
Use of neurofuzzy networks to improve wastewater flow-rate forecasting
2009
A neurofuzzy wastewater flow-rate forecasting model (NFWFFM) has been developed and tested with actual data measured at the input of two wastewater treatment facilities which treat the wastewater corresponding to 150,000 and 1,250,000p.e., respectively. Good agreements between forecasted and actual flow-rates were obtained. The artificial intelligence algorithm uses only two input variables (day of the week and average daily flow-rate of day before) and one output variable (predicted average daily flow-rate). Using three months data for training the network, a long-term forecast (one month) is made with average errors below 10%. Results were compared with those obtained by applying the Cens…
Joint Alignment and Modeling of Correlated Behavior Streams
2013
The Variable Time-Shift Hidden Markov Model (VTS- HMM) is proposed for learning and modeling pairs of cor- related streams. Unlike previous coupled models for time series, the VTS-HMM accounts for varying time shifts be- tween correlated events in pairs of streams having different properties. The VTS-HMM is learned on a set of pairs of unaligned streams and, thus, learning entails simultaneous estimation of the varying time shifts and of the parameters of the model. The formulation is demonstrated in the analysis of videos of dyadic social interactions between children and adults in the Multimodal Dyadic Behavior Dataset (MMDB). In dyadic social interactions, an agent starts an interaction …