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 ...

Linear regression remains a cornerstone of statistical analysis, offering a framework for modelling relationships between a dependent variable and one or more independent predictors. Over the past ...

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 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 ...

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.

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 ...

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 ...

The public should view crowd estimation with skepticism, say the authors of a new study, as they suggest more reliable alternatives to current estimating methods. The public should view crowd ...

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 ...

Three new research highlight the importance of gathering accurate information on numbers of deaths, and suggest ways of improving estimates in countries where complete vital registration systems do ...