Post-Stratification with Optimized Effective Base: Linear and Nonlinear Ridge Regression Approach
نویسنده
چکیده
Post-stratification, or sample balancing, or raking, is widely utilized in survey research to weighting a sample data to Census or other known population quotas. Cross-tables of counts are used in Deming-Stephan iterative proportional fitting to find the weights for adjusting data to known margins. A bi-criteria objective for finding weights with minimum variance yields a solution with maximum effective sample size. This model can be expressed as a ridge regression, which is applied to the original data, without its collapsing to cross-tables. Linear and nonlinear parameterization models are studied. The explicit regression solution allows to study the weighting analytically, that helps to interpret and improve the sample balance results.
منابع مشابه
The optimized model of factors effecting on the Merger and Acquisition from multiple dimensions with neural network approach.
Nowadays, firms apply the merger and acquisition strategy for gaining synergy, increasing the wealth of stockholders, economics of scales, enhancing efficiency, increasing the ability to research and develop, developing the firm and decreasing the risk. Developing an optimized model with the ability to identify the effective variables on the merger and acquisition process has a significant ...
متن کاملA MODIFICATION ON RIDGE ESTIMATION FOR FUZZY NONPARAMETRIC REGRESSION
This paper deals with ridge estimation of fuzzy nonparametric regression models using triangular fuzzy numbers. This estimation method is obtained by implementing ridge regression learning algorithm in the La- grangian dual space. The distance measure for fuzzy numbers that suggested by Diamond is used and the local linear smoothing technique with the cross- validation procedure for selecting t...
متن کاملEffects of the Soil-Foundation-Structure Interaction on the Component Demand Modifier Factor of Concrete Gravity Beams based on ASCE 41-06 Standard
The aim of the present paper is to evaluate the influence of the Soil- Foundation- Structure Interaction (SFSI) effects on the component demand modifier factor of concrete gravity beams based on ASCE 41-06 standard. To this end, the beam on the nonlinear Winkler foundation approach is employed which is a simple and efficient method. At first, four sets of 3-, 6-, 10- and 15-storey concrete mome...
متن کاملDiagnostic Measures in Ridge Regression Model with AR(1) Errors under the Stochastic Linear Restrictions
Outliers and influential observations have important effects on the regression analysis. The goal of this paper is to extend the mean-shift model for detecting outliers in case of ridge regression model in the presence of stochastic linear restrictions when the error terms follow by an autoregressive AR(1) process. Furthermore, extensions of measures for diagnosing influential observations are ...
متن کاملSeismic Evaluation of Flexible-Base Low-Rise Steel Frames Using Beam-On-Nonlinear-Winkler-Foundation Modeling of Shallow Footings
Recent investigations have shown that the influences of Soil-Structure Interaction (SSI) may be detrimental to the seismic response of structure, and hence neglecting this phenomenon in analysis and design may lead to an un-conservative design. The objective of this paper is to quantify the effects of nonlinear soil-structure interaction on the seismic response of a low-rise special moment fram...
متن کامل