Estimation of LTV Equation using Level Data
ESTIMATION OF DEMAND FOR MORTGAGE LOANS USING LOAN-LEVEL DATA
... segments. Using loan-level data of car loans they found that low- income households has positive elasticity of demand for car loans on the maturity and zero reaction of demand to interest rate change ...
9
Out of Sample Estimation for Small Areas using Area Level Data
... area level data are ...The estimation approach described in the paper is then evaluated by a simulation study, which compares the new method with other methods of small area estimation for ...
23
Panel Data Estimation Techniques for Farm-level Data Model
... relevant parameters for agricultural policy analysis are increasingly relying on unbalanced panels of farm-level data. Since in the agricultural economics literature such models have often been estimated ...
13
Direct and Relative Effects of the Import Tariff: Estimation Using the Chinese Industrial Level Data
... some estimation biases to approximate the Effective applied tariff rates with this method, however, to our best acknowledge, this is the optimal estimation method we can ...output data are classified ...
22
PARAMETER ESTIMATION USING AGGREGATE DATA
... population level data as individual ...the data is collected over several generations of those being observed or the collection of the data requires sacrifice of the objects – cells, animals ...
30
Radar Exciter Signal Generation by Using DDS & Data Processing With Noise Level Estimation and Moments Estimation
... Direct Digital Synthesis (DDS) is a procedure of digital data processing blocks as a way to generate a frequency and phase tunable output signal that can be referenced to a fixed frequency clock source. In ...
8
Estimation of Water Level Variations in Dams Based on Rainfall Data using ANN
... water level at Sungai Bedup in Sarawak is presented ...water level for Sungai Bedup ...simulated using data obtained from Drainage and Irrigation Department with MATLAB ...Network using ...
6
Estimation of reference evapotranspiration in a mountainous mediterranean site using the Penman-Monteith equation with limited meteorological data
... the estimation of the parameter ...o estimation depends on (i) the pat- tern of error in parameter estimation throughout the year (as a consequence of the aridity, seasonal patterns of wind sped, ...
25
Robust estimation in structural equation models using Bregman divergences
... We contaminated the data by changing the variance of the vector from 1 to 7 2 for a certain percentage of data. These variances are equivalent to a normal mixture of N(0, 1) or N(0, 49), respectively, for ...
16
Estimation of Wave Drag of Non-Transonic Airfoils Using Korn Equation
... It was found that FX 83 W108 generated the highest C L max , (C L /C D ) max and had the lowest value of C M . The Clark Y (smooth) airfoil had the most gentile stalling behaviour and the NACA 0018 airfoil had the lowest ...
8
Data enhancement and selection strategies for the word level Quality Estimation
... Generating Data by Bootstrapping New Examples Although the size of training data is considerably larger than the size of datasets that have been used before, it may still be too sparse to perform QE at the ...
6
Parameter estimation of stochastic differential equation
... on data and motivated by the smoothness properties in estimating a function which involves spline and non-spline ...differential equation ( SDE ...last data which gives the least value of Generalized ...
8
Estimation of health effects of prenatal methylmercury exposure using structural equation models
... ical data sets this multivariate approach is likely to intro- duce a missing data ...likelihood estimation is feasible, and the problem can then sometimes be solved by adopting the approach of Little ...
22
Estimation of nonlinear latent structural equation models using the extended unconstrained approach
... structural equation models using the extended unconstrained approach AUGUSTIN KELAVA and HOLGER BRANDT In the past two decades, several approaches for the estimation of single interaction effects in ...
10
Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique
... Mathematical models can describe the dynamic behavior of a sys- tem as a function of time and exist in various fields, such as fault diagnosis [1, 2], telecommunication transmission [3–5], con- trol system [6, 7] and ...
9
Estimation of slope for measurement error model with equation error: applications on serum kanamycin data
... comparison using simulation to examine and demonstrate the superior performance of the proposed ...the equation error, which is inevitable, since Weisberg (1985, ...“Real data almost never fall ...
15
Estimation of power consumption at behavioral modeling level using systemC
... The class also contains methods for calculating circuit area and delay, which are not considered in this paper. For each behavioral operation, we have implemented its own macromodel class (e.g., sc mmAdder for “+” ...
8
Opportunistic Flow-level Latency Estimation using Consistent NetFlow
... detection data structure called lossy difference aggregator (LDA) that can be implemented in routers at high speeds for measuring various latency characteristics with µsecond ...new data structure, but ...
14
DOA estimation based on data level Multistage Nested Wiener Filter
... DOA estimation method based on data level re- cursive MSNWF has been proposed in this ...by using a refer- ence signal after interference ...DOA estimation such as resolution, cap- ...
8
Structural equation modeling using complex survey data: Evaluating quasi-maximum likelihood estimation with Satorra-Bentler correction and multiple imputation
... models using longitudinal or cross-sectional data where randomized control trials would either be unethical or cost prohibitive, thereby providing researchers with an alternative approach for delineating ...
106