The process of using past cost information to predict future costs is called cost estimation. While many methods are used for cost estimation, the least-squares regression method of cost estimation is ...

Our teacher already knows there is a positive relationship between how much time was spent on an essay and the grade the essay gets, but we’re going to need some data to demonstrate this properly.

In a multivariate regression model, the errors in different equations may be correlated. In this case the efficiency of the estimation may be improved by taking these cross-equation correlations into ...

A statistical technique for fitting a curve to a set of data points. One of the variables is transformed by taking its logarithm, and then a straight line is fitted to the transformed set of data ...

We adopt the least squares Monte Carlo (LSMC) method to price time-capped American options. The cap can be an independent random variable or dependent on the asset price at a random time. We ...

In this paper, we propose a novel investment strategy for portfolio optimization problems. The proposed strategy maximizes the expected portfolio value bounded within a targeted range, composed of a ...