Estimation of Multiprocess Survival Models with cmp

Of Multiprocess Models for Memory to Continuous Recognition Tasks

Appendix a Early Models of Oxide Cmp

Over the past decade and a half several process models have been proposed to elucidate the mechanism and material removal rate in CMP. Each model addresses a specific aspect of the process. Some of these are briefly described below to focus on the mechanisms of the planarization process and to identify the research tasks. It is not the objective of this review to be exhaustive; only a few impor...

Robust Estimation in Linear Regression with Molticollinearity and Sparse Models

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...

Estimation of Runoff using Modified SCS Models

In recent decades, due to the importance of watershed management programs and the need for adequate information and correct estimation of rainfall and runoff, many conceptual models have been proposed. These models have parameters that must be estimated according to observational data. However, finding the optimal values for the parameters of simulation models has always faced uncertainty. One ...

Estimation of pore water pressure in the body of earth dams during construction with intelligent models

One of the basic measures in managing the stability of earth dams is to accurately estimate the amount of pore water pressure in the body of the dam during and after its construction. In this study, three different models of artificial neural network (ANN), adaptive neural-fuzzy inference system (ANFIS) and gene expression programming (GEP) to estimate the pore water pressure in the body of Kab...