[PDF] Top 20 Estimation and identification for vector linear time series models
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Estimation and identification for vector linear time series models
... ARMAX identification results have been given by Hannan in a series of papers, Hannan [1969a, 1971a, 1976a, ...classical identification result of Wegge [1965] and ... See full document
294
A kernel method for non-linear systems identification – infinite degree volterra series estimation
... being linear-in-the-parameters [9], much has been done in the development and application of Volterra series ...same time, a noticeable shortcoming restricts the practical use of even truncated ... See full document
8
Identification, Estimation and Specification in a Class of Semi Linear Time Series Models
... simple linear trending function or a second–order polynomial form may be sufficient to capture the main trending behaviour for each of the CPI data ...simple linear trending function for a disposable income ... See full document
21
Estimation for vector linear time series models
... In Chapter 3 we will also discuss, for ARMA models, the strong law of large numbers, methods of identification and their relationship to the central limit theorem. * The conditions required for the general ... See full document
214
Optimal Unknown Pollution Source Characterization in a Contaminated Groundwater Aquifer—Evaluation of a Developed Dedicated Software Tool
... source identification has often been solved as an optimization ...in identification of unknown groundwater pollution sources proposed the use of linear optimization model based on linear ... See full document
11
A study of estimation procedures for time series models in economics
... an identification problem in that it implies an inability to statistically distinguish different estimates and in many cases the only solution would be to omit lagged y's - the solution given above for the imputed ... See full document
356
Inference problems for vector linear time series models
... (i.e. we have constrained the estimates in such a way that the corresponding z transform has all its roots outside of the unit circle). Of course if the number of observations N was large enough the possibility of such ... See full document
155
Robust estimation for structural time series models
... the identification of aberrant points at the prediction stage helps to make the likelihood function more sensitive towards the specification of the contaminating component in the m o d ... See full document
316
Modeling the Effects of Outliers on the Estimation of Linear Stochastic Time Series Model
... outlier identification and modeling ...joint estimation of the model parameters and the magnitude of outlier ...involves identification of outliers sequentially by searching for most relevant ... See full document
18
Time Series Forecasting of Hourly PM10 Using Localized Linear Models
... in time series forecasting is “generalization”, which refers to their ability to produce reasonable fore- casts on data sets other than those used for the estimation of the model ...the ... See full document
10
Some Convergence Theorems On Linear Models Generating A Pair Of Related Time Series
... that estimation and testing problems associated with the model [10] can be carried out without much theoretical ...limitations. Estimation of the parameters in [10] under autoregressive placements on the ... See full document
9
Maximum likelihood estimation of time series models: the Kalman filter and beyond
... space models and provides the state space representation of some commonly applied linear processes, such as univariate and multivariate autoregressive moving average processes (ARMA) and dynamic factor ... See full document
31
Estimation of semiparametric econometric time series models with non linear or heteroscedastic disturbances
... these models, the autoregression function has one singular point at the mean of the process, that is at ...differentiates models 1 and 4 from models 2, 3, 5 and 6 is that the latter models ... See full document
224
Recursive estimation of non-linear time series models
... A r.ecursive scheme for simultaneous optimal estimation of conditional mean and variance in a nonlinear ARCH (autoregressive con- ditional heteroscedastic) model is also proposed.. Keywo[r] ... See full document
17
Some aspects of estimation for vector time series models
... of linear equations or using numerical integration to obtain successive sets of ...of linear factors and to group these so as to ensure that det Wf(z) ^ 0, | z \ < ... See full document
193
Efficient Estimation of the Parameter Path in Unstable Time Series Models
... likelihood models, Shively (1988a, 1988b) considers small sample tests in a linear regression model, and Elliott and M¨ uller (2006) derive asymptotic results for point optimal parameter instability tests ... See full document
53
Small Area Estimation Under Linear and Generalized Linear Mixed Models With Time and Area Effects
... area estimation are not normally distributed, and therefore cannot be adequately modelled via the linear mixed model theory set out in sections 1 to ...generalized linear mixed model ...the ... See full document
31
Online Full Text
... spatial time series data is ...forecasting models—simple exponential smoothing and ...of time series such as trend and seasonality are not considered, that is why we compared it with ... See full document
6
Hidden Markov model signal processing and control
... possible models in the model ...The linear characteristic is not a major limitation, but the off-line processing aspect implies that the EM algorithm can not be used for problems where the signal must be ... See full document
189
Linear Optimization Approach to Estimation of Food Needs in South Halmahera Islands
... the estimation of food needs based on population growth and consumption patterns can be done using a linear ...Need estimation results are used to determine the amount of deficit that occurs in the ... See full document
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