Search results for "arima"
showing 10 items of 40 documents
Daudzslāņu sezonalitātes izmantošana TV reitingu prognozēšanā
2017
Bakalaura darbs ir veltīts televīzijas reitingu prognozēšanai. Darba mērķis ir izstrādāt prognozēšanas modeļi, izmantojot divkāršo sezonālo izlīdzināšanu. Darbā ir apskatīti laikrindu analīzes pamatjēdzieni un sezonālā laikrindas modelēšana, kura tiek veikta ar dekompozīcijas metodi. Laikrindu analīzei un prognozēšanai tiek izmantotas Microsoft Excel un SPSS programmas.
Oltre la ricerca del Graal, il divenire del mito
2014
A mythologist's study of the Graal cultural tradition. Using Francesco Zambon's recent Metamorfosi del Graal as his starting point, the author undertakes an analysis on the importance of the Graal in Western mystical, philosophical and literary traditions throughout time, from the impact of the medieval Graal stories on the matière de Bretagne and beyond (Troyes, Boron), to the appeal of this myth in modern times, including its occurrence on Richard Wagner, Martin Heidegger, Simone Weil, Italo Calvino and Umberto Eco.
English Validation of the Parental Socialization Scale—ESPA29
2017
Parenting styles have traditionally been studied following the classical two-dimensional orthogonal model of parental socialization. The Parental Socialization Scale ESPA29 is used to measure the four styles of parental socialization through the acceptance/involvement and strictness/imposition dimensions. The ESPA29 scale is a developmentally appropriate measure of parenting styles, which has been validated in several languages including Spanish, Italian, and Brazilian Portuguese. In this study, the English translation of the ESPA29 was evaluated. The objective of the work is to test the ESPA29’s structure of parenting practices with a United States sample measuring parenting practices usin…
Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series
2020
L'analyse prédictive permet d'estimer les tendances des évènements futurs. De nos jours, les algorithmes Deep Learning permettent de faire de bonnes prédictions. Cependant, pour chaque type de problème donné, il est nécessaire de choisir l'architecture optimale. Dans cet article, les modèles Stack-LSTM, CNN-LSTM et ConvLSTM sont appliqués à une série temporelle d'images radar sentinel-1, le but étant de prédire la prochaine occurrence dans une séquence. Les résultats expérimentaux évalués à l'aide des indicateurs de performance tels que le RMSE et le MAE, le temps de traitement et l'index de similarité SSIM, montrent que chacune des trois architectures peut produire de bons résultats en fon…
Écrire le génocide des Tutsi au Rwanda, la nouvelle : un genre propice ?
2015
4 OS nat; National audience; no abstract
Wind Speed Forecasting
2009
This paper aims at providing a general class of stochastic models for hourly average wind speed time series taking into account all the main features of wind speed data, namely autocorrelation, non-Gaussian distribution, seasonal and diurnal nonstationarity. It will be shown that the methodology developed in this study, tested using the data recorded in two sites of Italy, attains valuable results in terms both of modelling and forecasting.
Stochastic models for wind speed time series: a case study
2010
ANALYSIS OF ENTREPRENEUR’S MOTIVATION TO START BUSINESS (COMPARATIVE STUDIES IN LATVIA IN COMPARISON WITH CANADA, USA, MEXICO)
2014
Business start is important issue from government policy side as well as it has interests of academic researchers worldwide. Researcher attention is paid on decision to start or not to start business (Townsend, et al, 2010), on issues on business takeover or new venture start (Parker, et al, 2012), different approaches in business start – up are analysed (Chwolka and Raith, 2012), there are made evaluations of different research conducted in this area during half a decade (Lambert and Davidson, 2013), made comparisons and cross – country investigations (Clerq, et al, 2012), made different kinds of forecasts (Cassar, 2014). Researchers are interested in performance expectations of entreprene…
Restrictive Factors for Micro-Company Growth in Latvia
2020
Every country is interested in entrepreneurship development as entrepreneurs form the basis for economic development, so academic researchers are looking for supportive and restrictive factors in business development. In Latvia, the majority of companies are micro and small enterprises. The aim of the paper is to investigate the restrictive factors related to the successful development of the company in Latvia, depending on the number of employees. Tasks of the research - evaluate the limiting factors influencing the development of micro-companies; find the most important factors that limit the involvement of employees and experienced managers in companies in the country, regions; compare t…