BackgroundData can be missing when a survey fails to collect information from certain regions due feasibility issues, which impose problems while performing spatial analysis.ObjectiveThe present study aims estimate aggregate level public health data by utilizing the neighbouring and accounting for autocorrelation inherently in data.MethodologyData was simulated fixed values of various parameter...

A method is presented to automatically generate context models of data by calculating the data’s autocorrelation function. The largest values of the autocorrelation function occur at the offsets or lags in the bitstream which tend to be the most highly correlated to any particular location. These offsets are ideal for use in predictive coding, such as predictive partial match (PPM) or context-m...

This paper describes numerically simple estimators that can be used to estimate binary choice and other related models (such as selection and ordered choice models) when some regressors are endogenous or mismeasured. Simple estimators are provided that allow for discrete or otherwise limited endogenous regressors, lagged dependent variables and other dynamic effects, heteroskedastic and autocor...

Control Chart for Monitoring Autocorrelated Process with Multiple Exogenous Inputs Sofia Criselda A. Poblador Ma. & Erniel B. Barrios Ph.D. Prof. a University of the Philippines Manila, Manila, Philippines, Email: b University of the Philippines Diliman, School of Statistics, School of Statistics Building, Magsaysay Ave., Diliman, Quezon City, 1101 Philippines, Email: Accepted author version po...