Biased versus unbiased estimation

AbstractStatisticians have begun to realize that certain deliberately induced biases can dramatically improve estimation properties when there are several parameters to be estimated. This represents a radical departure from the tradition of unbiased estimation which has dominated statistical thinking since the work of Gauss. We briefly describe the new methods and give three examples of their practical application