M-estimation in Multistage Sampling Procedures

Author:

Mallik Atul,Banerjee MoulinathORCID,Michailidis George

Funder

National Science Foundation

Division of Mathematical Sciences

Division of Materials Sciences and Engineering

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference22 articles.

1. Belitser, E., Ghosal, S. and Van Zanten, J. H. (2013). Optimal two-stage procedures for estimating location and size of maximum of multivariate regression functions. Ann. Statist.

2. Bhattacharya, P. K. and Brockwell, P. J. (1976). The minimum of an additive process withapplications to signal estimation and storage theory. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 37, 51–75.

3. Bhattacharya, P. K. (1987). Maximum likelihood estimation of a change-point in the distribution of independent random variables: General multiparameter case. J. Multivariate Anal. 23, 183–208.

4. Billingsley, P. (1995). Probability and measure, 3rd edn. Wiley Series in Probability and MathematicalStatistics. Wiley, New York. A Wiley-Interscience Publication.

5. Cohn, D., Ladner, R. and Waibel, A. (1994). Improving generalization with active learning. In Machine Learning. p. 201–221.

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