The Cost of Drilling for Oil and Gas: An Application of Constrained Robust Regression
使用Huber稳健回归方法拟合石油钻井成本模型，处理分类变量（井类型）的线性约束，并对对数成本预测进行无偏调整，与普通最小二乘法比较。
Abstract The robust regression method of Huber (1973) is used to fit a model to the cost of drilling for petroleum. Because the model includes a categorical variable (well type), a linear constraint is imposed on the parameter estimates Because the model was fit to the logarithm of cost and because it will be used to make repeated predictions of cost, an adjustment that approximately unbiases the predictions is imposed. The numerical values of the estimates are discussed, and a comparison is made with ordinary least squares.