Based on the modern time series analysis method, for single channel autoregressive moving average (ARMA) signals with colored noise, a self-tuning weighted measurement fusion Kalman filter is presented when the model parameters and noise statistics are unknown. By applying the recursive instrumental variable (RIV) algorithm and the Gevers-Wouters (G-W) iterative algorithm with dead band, the lo...

This study reports an application of instrumental color measurement for quantifying and comparing the optical properties of high density polyethylene HDPE and low density polyethylene LDPE blend films and the effect of blending ratio and miscibility on these properties. The technique of spectrophotometry in transmission and reflectance modes can be used as a versatile tool to evaluate the color...

The scalar mediation of the object through the space of representation ensures design methodologies based on similitude or procedural techniques must initially work upon appropriated forms. Given that translation ensures that these forms remain as a trace the architectural object is implicitly reliant on the application of analogy. While still bound to the act of drawing in, on or through the d...

The most common procedures for characterizing the chemical components of lignocellulosic feedstocks use a two-stage sulfuric acid hydrolysis to fractionate biomass for gravimetric and instrumental analyses. The uncertainty (i.e., dispersion of values from repeated measurement) in the primary data is of general interest to those with technical or financial interests in biomass conversion technol...

We describe different procedures to deal with measurement error in linear models, and assess their performance in finite samples using Monte Carlo simulations, and data on corporate investment. We consider the standard instrumental variables approach proposed by Griliches and Hausman (1986) as extended by Biorn (2000) [OLS-IV], the Arellano and Bond (1991) instrumental variable estimator, and t...