Kernel density estimation (KDE) and nonparametric methods form a cornerstone of contemporary statistical analysis. Unlike parametric approaches that assume a specific functional form for the ...

The only thing worse that having to pay expenses each month is not knowing how much you are going to have to write the check for. Being able to estimate business costs accurately can help you plan for ...

The aim of effective project management is to bring the project to completion on time and on schedule. Estimating project duration is a key function of scheduling. Individual activities make up the ...

The IEA-PVPS Task 15 has conducted a global survey on BIPV design workflows and methods. The team surveyed 80 professionals from 10 professional groups involved in BIPV, including architects, ...

There are numerous coal energy conversion project feasibility studies performed under contract with the U.S. Department of Energy’s National Energy Technology Laboratory (NETL) which include capital ...

In credit risk modeling, banks and insurance companies routinely use a single model for estimating key risk parameters. Combining several models to make a final prediction is not often considered.

Each estimation method is based on finding parameter estimates that minimize a badness-of-fit function that measures the difference between the observed sample covariance matrix and the predicted ...

Recently, estimating ratios of normalizing constants has played an important role in Bayesian computations. Applications of estimating ratios of normalizing constants arise in many aspects of Bayesian ...

When control limits are computed from the input data, three methods (referred to as default, MVLUE, and RMSDF) are available for estimating the process standard deviation .The method depends on ...