Before revision: (page 341) For example, every continuous probability distribution has a median, which may be estimated using the sample median or the Hodges–Lehmann estimator|Hodges – Lehmann–Sen estimator , which has good properties when the data arise from simple random sampling.
After revision: (page 341) For example, every continuous probability distribution has a median, which may be estimated using the sample median or the Hodges–Lehmann estimator|Hodges – Sen estimator , which has good properties when the data arise from simple random sampling.