In this thesis, a new univariate-multivariate portmanteau test is derived. The proposed test statistic can be used for diagnostic checking ARMA, VAR, FGN, GARCH, and TAR time series models as well as for checking randomness of series and goodness-of- fit VAR models with stable Paretian errors....

Baigiamajame magistro darbe nagrinėjami pagrindiniai Baltijos šalių – Lietuvos, Latvijos ir Estijos makroekonominiai rodikliai. Aprašytos Baltijos šalių ūkio dinamikos ir raidos tendencijos. Atlikta pirminė statistinių duomenų analizė, kurios metu nustatyti pagrindinių Baltijos...

Modern societies are facing energy and environmental challenges. In a framework of climate change, escalating global energy consumption, declining fossil sources and uncertainties regarding future supply, one key question of the 21st century is how to secure a clean and efficient power...

The stylized fact of time-varying volatility in financial series is commonly accepted amongst scholars as well as practitioners. The GARCH model has been exceptionally successful in this area. Our approach, the minimally cross-entropic conditional density (MCECD) model, is a generalization of...

Motivated by the problem of setting prediction intervals in time series analysis, we suggest two new methods for conditional distribution estimation. The first method is based on locally fitting a logistic model and is in the spirit of recent work on locally parametric techniques in density...

Purpose: This paper aims to provide new evidence regarding the firm performance implications of using temporal orientation (time pacing) and information technology (IT) to align an organization with its task environment. Design/methodology/approach: Using questionnaire data provided by top...

Based on the 2008 Shaanxi Statistical Yearbook and the relevant data of Shaanxi GDP in the years 1952-2007, SPSS statistical software and time series analysis are used to establish ARIMA (1.2,1) time series model, according to the four steps, recognition rules and stationary test of time series...

An approach that combines seasonality removal with a multivariate, state-space, time series forecasting model is developed to provide shortrun forecasts for the US salmon market. Time series included in the model are: US fresh Atlantic salmon wholesale price index; fresh salmon (Atlantic, coho...