error-in-variable model
Instrumental variable estimation in binary measurement error models
... linear measurement error model instrumental variable estimator is presented and used to motivate the generalization to binary regression models.. Results of a simulation study are discus[r] ...
21
Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy
... macroeconomic application involving a high dimensional model. The GLPS model fits the bill perfectly. It involves nine dependent variables, uncertainty over many modelling choices (e.g. cointegrating rank, ...
47
Feedback Error Based Discontinuous and Continuous Variable Learning Rate CMAC
... Cerebellar Model Articulation/Arithmetic Controller was proposed by ...zero error, but increasing learning rate in a quest to reach the zero error tends to make the system ...
6
Mind the gap: the effects of temporal and spatial separation in localization of dual touches on the hand
... a model whereby the localization of touch initially takes place within primary somatotopic maps followed by a subsequent mapping onto a body representation in secondary somatosensory ...localization error ...
15
BER Performance for Downlink MC-CDMA Systems over Rician Fading Channels
... We consider downlink multicarrier code-division multiple-access (MC-CDMA) systems using binary phase-shift keying (BPSK) modulation scheme and maximal ratio combining (MRC) in frequency-selective Rician fading channels. ...
9
Testing for Spatial Correlations with Randomly Missing Observations in the Dependent Variable
... pendent variable. We considered the spatial error model as well as the spatial autoregressive model and derived the formulas of the LM test statistics in both ...
12
Using bootstrap methods to investigate coefficient non stationarity in regression models: an empirical case study
... location i with observations near to i given more influence than observations further away by weighting them according to some distance-decay function. Various methods have been proposed to assess the validity of GWR in ...
5
Does shariah stock index lead or lag the exchange rate and macroeconomic variables? evidence from Japan based on ARDL
... the error-correction model result (Table 8). A significant error-correction coefficient is a confirmation of earlier findings ...the error-correction coefficient shows the speed of short term ...
21
The Growth Implication of Trade Liberalization in West Africa
... proper model specification and to reduce the possibility of arriving at spurious regression results, we examine the time series properties of the data using the Augmented Dickey Fuller test for a unit root and ...
8
School Achievement of Pupils From the Lower Strata in Public, Private Government Dependent and Private Government Independent Schools: A cross national test of the Coleman Hoffer thesis
... dependent variable, and the standard deviation of the error of this ...measurement model of the next level of the students (see Hox, ...the model takes the measured error into ...
30
Testing the four models for prediction of gully head advancement (case study: Hableh Rood basin- Iran)
... relative error percent, absolute error percent and change variable percent have been ...FAO model have a relative error percent and absolute error percent with amounts of ...
9
Inherent Error Analysis of Slope Variable with IDW Method
... The step by step explanation of algorithm is shown with images in the Table 1. In this process elevation data are used to create digital elevation model in raster format using IDW method for both erroneous data ...
5
Estimating the error correction model for Sudanese exchange rate
... statistically significant t statistic large percentage of time, much larger than the nominal significance level, this called spurious regression problem, whereas there is no sense in which y and the set of x are related, ...
6
Asymmetric Fuzzy Control of a Positive and Negative Pneumatic Pressure Servo System
... the model of the process, the accurate model of the system is not ...system model is unavailable to users in practical application ...the error and change in error of the controlled ...
9
Robust detection of outliers in both response and explanatory variables of the simple circular regression model
... response variable y of the simple circular regression ...sion model to detect outliers based on the complex ...Circular Error (MCE) statistic to identify outliers in the response variable of ...
16
Study on Dynamic Model of Initial Emission Rights for Medical Sewage System
... simulation model, and through computer experiments to obtain a description of the future behavior of the ...mulation model-flow map and tectonic equation, implement computer simula- tion test, verify the ...
12
Asymptotic Performance of the Location and Logistic Classification Rules for Multivariate Binary Variables
... Discrimination is a decision support tool with a wide range of applications, such as health applications, bankruptcy prediction, education planning, taxonomy problems, including engineering applications. It is a ...
7
Model error in weather forecasting
... that model error is hard to measure in the context of weather ...the error is small; for if model error is large, it should not be beyond our powers to detect (weather models may be ...
15
Money Demand Functions for Pakistan (Divisia Approach)
... The F-statistic so obtained was compared with the critical values provided in Pesaran and Pesaran (1997) and Pesaran et al . (2001). These critical values were different for different models as well as for the number of ...
21
The conditional pricing of currency and inflation risks in Africa's equity markets
... our model also attempts to address apparent low flexibility in the nominal exchange rates of some of the countries by using real exchange ...to model and explore the pricing of foreign exchange risk in the ...
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