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Subjects / keywords: NEMEC, JAROMIR; D. REIDEL PUBLISHING COMPANY; 553.7 N433h

In this paper we deal with the problem of forecasting local rainfall at multiple meteorological stations over the Iberian peninsula. To this aim a dynamic Bayesian network is introduced for relating rainfall to broad-sca...

Micro businesses play a crucial role in Argentina’s socioeconomic landscape, providing entrepreneurship opportunities and essential services across Buenos Aires. However, these businesses often have a high failure rate...

Subjects / keywords: Conceptual model; Flow (mathematics); Computer science; Streamflow; Management science; Development (topology); Environmental science; Mechanics; Mathematics; Engineering; Geography; Mathematical analysis

Subjects / keywords: Series (stratigraphy); Time series; Computer science; Econometrics; Mathematics; Machine learning; Geology; Paleontology

Subjects / keywords: Series (stratigraphy); Time series; Econometrics; Computer science; Control (management); Economics; Artificial intelligence; Machine learning; Paleontology; Biology

Esta obra analiza las características de los procesos y productos que constituyen los retornos, las devoluciones, las mermas de proceso y la gestión de los productos que no son vendidos o que llegan al final de su vida...

El libro Representaciones de datos para análisis exploratorio aplicado a ingeniería es una obra orientada al fortalecimiento de las competencias analíticas y estadísticas en la formación profesional en ingeniería. ...

The analysis of the stability of slopes is a key aspect in the design of any infrastructure such as roads, railways, canals, pipelines and dams as well as in mining operations. For common infrastructures, slopes reach he...

The importance of sales forecasting is fundamental in the agro-alimentary chain, because itallows a suitable integration of suppliers and the costumer satisfaction either they are internal oexternal. In this paper the te...

An analysis of the mechanisms that induce precipitations in the coastal area of Ecuador and of the relations between precipitation anomalies and temperature and wind anomalies from the Eastern Pacific, allows to determin...

Recently, novel learning algorithms such as Support Vector Regression (SVR) and Neural Networks (NN) have received increasing attention in forecasting and time series prediction, offering attractive theoretical propertie...

Tesis para optar al grado de Magíster en Análisis Económico Autor no envia autorización para el ingreso a texto completo de su documento In this paper, an attempt is made to explore the relevance of a consumer confid...

Micro enterprises are vital to Argentina’s economy but often face sustainability challenges due to limited forecasting capabilities. This study explores how micro business owners in Buenos Aires predict short-term outc...

"This thesis examines whether unusually negative financial news is associated with increased short-term market volatility, measured by absolute VIX movements. The analysis is based on more than 1.3 million cleaned and de...

The tools for fault impact analysis are important for the deployment of critical mission systems. These tools can be also used as a development phase aid. We introduce several concepts related to "business alarms". Busin...

In the last few years, neural networks have found interesting applications in the field of time series modeling and forecasting. Some recent results show the ability of these models to approximate the dynamical behavior ...

Abstract This paper proposes a revised vertical diffusion package with a nonlocal turbulent mixing coefficient in the planetary boundary layer (PBL). Based on the study of Noh et al. and accumulated results of the behavi...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

This paper examines the dynamics of allocation under increasing returns within a model where agents choose between technologies competing for adoption and where each technology improves as it gains in adoption. It shows ...

This book, which is intended as a graduate level text and a general professional reference, presents the methods of discrete choice analysis and their applications in the modeling of transportation systems. The first sev...

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...

Existing strategies for econometric analysis related to macroeconomics are subject to a number of serious objections, some recently formulated, some old. These objections are summarized in this paper, and it is argued th...

Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection the...