what is the value of the GED for dropouts who
... the more highly skilled dropouts to jobs with lower initial wages but steeper age-wage
profiles than less skilled dropouts. There would also be a delay in any wage differences if
employers lack perfect initial information but learn about workers’ skills over time or if
new GED holders engage in more ...
Regularization and variable selection via the elastic net
... Scenarios (a) and (b) make the lasso an inappropriate variable selection method in some situations. We illustrate our points by considering the gene selection problem in microarray data
analysis. A typical microarray data set has many thousands of predictors (genes) and often
fewer than 100 samples. ...
STAT - Statistics
... data related to the health and social sciences. Interpretation of computer
output will be stressed. Prerequisites: A grade of C or better in STAT 431 or
STAT 560. Statistical Simulation/Programming Using Statistical
Software Packages. 3 Credits.
This course is a data-based tour of advanced ...
... Recruitment market analysis provides valuable understanding of industry-specific economic growth and plays an important role for both employers and job seekers. With the
rapid development of online recruitment services, massive
recruitment data have been accumulated and enable a new
paradigm for rec ...
... The strength of control charts comes from their ability to detect sudden changes in a process that result from the
presence of assignable causes. Unfortunately, the X-bar chart is poor at detecting drifts (gradual trends) or small
shifts in the process. For example, there might be a positive trend i ...
Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. Both might refer to formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods. Usage can differ between areas of application: for example, in hydrology, the terms ""forecast"" and ""forecasting"" are sometimes reserved for estimates of values at certain specific future times, while the term ""prediction"" is used for more general estimates, such as the number of times floods will occur over a long period.Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts. In any case, the data must be up to date in order for the forecast to be as accurate as possible.