Basic Statistics
... "True" Mean and Confidence Interval. Probably the most often used descriptive statistic is the mean. The mean is a particularly informative measure of the "central tendency" of the variable if it is reported along with its confidence intervals. As mentioned earlier, usually we are interested in stat ...
... "True" Mean and Confidence Interval. Probably the most often used descriptive statistic is the mean. The mean is a particularly informative measure of the "central tendency" of the variable if it is reported along with its confidence intervals. As mentioned earlier, usually we are interested in stat ...
Symbolic Data Analysis Of Complex Data: several directions
... Symbolic Data (SD) are complex data as they cannot be transformed in standard data. Complex data can be transformed in SD. Therefore SDA is a tool for extracting knowledge from classes of standard data or from complex data. Much open research for non parametric or parametric SDA from the symbolic da ...
... Symbolic Data (SD) are complex data as they cannot be transformed in standard data. Complex data can be transformed in SD. Therefore SDA is a tool for extracting knowledge from classes of standard data or from complex data. Much open research for non parametric or parametric SDA from the symbolic da ...
Numerical Stabilization of Convection-Diffusion
... performance of finite element formulations for the advection-diffusion equation with production. While the GGLS method is nodally exact for one-dimensinal solutions, the GLS method is not. In the latter case, several choices of parameters are derived, which optimize the solutions according to certai ...
... performance of finite element formulations for the advection-diffusion equation with production. While the GGLS method is nodally exact for one-dimensinal solutions, the GLS method is not. In the latter case, several choices of parameters are derived, which optimize the solutions according to certai ...
x - College of Business « UNT
... Here the natural log of y is the dependent variable and the natural log of x is the independent variable: ...
... Here the natural log of y is the dependent variable and the natural log of x is the independent variable: ...
Polynomial Spline Estimation and Inference of Proportional Hazards
... no need to calculate a bigger Hessian matrix as would do if simultaneous optimization were implemented with the Newton-Raphson algorithm. The idea of iterative optimization is not new, which has been well-studied in the numerical analysis literature (Ruhe and Wedin, 1980). Wang et al. (2001) has de ...
... no need to calculate a bigger Hessian matrix as would do if simultaneous optimization were implemented with the Newton-Raphson algorithm. The idea of iterative optimization is not new, which has been well-studied in the numerical analysis literature (Ruhe and Wedin, 1980). Wang et al. (2001) has de ...
09 nonparametric test2015
... treatment was assessed for each patient in terms of complete regression (CR), partial regression (PR), no change (NC) and progression of the disease (P). Scored from 1 to 5 as follows: 5 = CR with no recurrence subsequently up to 6 months ore, 4 = CR initially but with a subsequent recurrence wi ...
... treatment was assessed for each patient in terms of complete regression (CR), partial regression (PR), no change (NC) and progression of the disease (P). Scored from 1 to 5 as follows: 5 = CR with no recurrence subsequently up to 6 months ore, 4 = CR initially but with a subsequent recurrence wi ...
Subset Selection in Regression: The Bad News
... An alternative view of the problem of variable selection is to examine certain subsets and select the best subset, which either maximizes or minimizes an appropriate criterion. Two subsets are obvious – the best single variable and the complete set of variables. The problem lies in selecting an int ...
... An alternative view of the problem of variable selection is to examine certain subsets and select the best subset, which either maximizes or minimizes an appropriate criterion. Two subsets are obvious – the best single variable and the complete set of variables. The problem lies in selecting an int ...
Will the Present-day Scientific Approaches Enable to Forecast
... photographing surveys, as well as geo-information system (GIS), man is able not only to forecast but also to prevent natural disasters. ...
... photographing surveys, as well as geo-information system (GIS), man is able not only to forecast but also to prevent natural disasters. ...
