Aluminum dross, as a hazardous waste product, causes harm to the environment and humans, since AlN it contains chemically reacts with water produce ammonia. In present study, formula for modifying content in aluminum dross is proposed first time, by investigating components of changes their respective contents during hydrolysis process. Meanwhile, effects such parameters temperature, rotational...

Technology and collaboration enable dramatic increases in the size of psychological and psychiatric data collections, but finding structure in these large data sets with many collected variables is challenging. Decision tree ensembles such as random forests (Strobl, Malley, & Tutz, 2009) are a useful tool for finding structure, but are difficult to interpret with multiple outcome variables whic...

the project was undertaken to study the evaluation of effectiveness of crop advisory services and suggested measures for filling the gap in aurangabad district of maharashtra in india. the survey was carried out in 2010. the data was collected with the help of a specifically designed and pre-tested questionnaire. the project carried out in catchment area of advisory services has given substanti...

Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize current systems and to aid design and development of future processor architectures for Java. Although this is facilitated by a rich set of processor performance counters featured on several contemporary processors, complex processor...

Multivariate adaptive regression splines (MARS) are a useful tool to identify linear and nonlinear effects and interactions between two covariates. In this dissertation a new proposal to model survival type data with MARS is introduced. Martingale and deviance residuals of a Cox PH model are used as response in a common MARS approach to model functional forms of covariate effects as well as pos...

The rapid time variation of mobile radio channels is often modeled as a random process with second order moments reeecting vehicle speed, bandwidth and the scattering environment. These statistics typically show that there is little room for prediction of channel properties such as received power or complex taps of the impulse response coeecients, at least when linear predictor structures are c...

This paper concerns segmented multivariate regression models, models which have different linear forms in different subdomains of the domain of an independent variable. Without knowing that number and their boundaries, we first estimate the number of these subdomains using a modified Schwarz criterion. The estimated number of regions proves to be weakly consistent under fairly general condition...