Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1284
Title: Sequential point estimation procedures for the parameter of a family of distributions
Authors: Chaturvedi, Ajit
Chattopadhyay, Saibal
Bapat, Sudeep R.
Joshi, Neeraj
Keywords: Bounded Risk
Improved Estimation
Minimum Risk
Point estimation
Purely sequential
Regret
Second-order Approximations
Issue Date: 2019
Publisher: SCOPUS
Communications in Statistics: Simulation and Computation
Taylor and Francis Inc.
Abstract: For the family of distributions considered by Chaturvedi and Alam, the problems of minimum risk point estimation and bounded risk point estimation of the parameter are handled. Consideration is given to squared-error loss function. The failure of fixed sample size procedure is established. Sequential procedures are proposed to deal with the situation. For both the estimation problems,the uniformly minimum variance unbiased estimator/maximum likelihood estimator and minimum mean square estimator are utilized to develop the fixed sample size procedures. Second-order approximations are derived for the sequential procedures and �improved� estimators are proposed. First-order properties are also discussed. The negative �regret� [see Starr and Woodroofe] is achieved. � 2019, � 2019 Taylor & Francis Group, LLC.
Description: Chaturvedi, Ajit, Department of Statistics, University of Delhi, Delhi, India; Chattopadhyay, Saibal, Operations Management Group, Indian Institute of Management, Kolkata, India; Bapat, Sudeep R., Department of Statistics and Applied Probability, South Hall, University of California, Santa Barbara, Santa Barbara, CA, United States; Joshi, Neeraj, Department of Statistics, University of Delhi, Delhi, India
ISSN/ISBN - 03610918
DOI - 10.1080/03610918.2019.1612432
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065721733&doi=10.1080%2f03610918.2019.1612432&partnerID=40&md5=69dbf2ba1c8f87233c44645192497706
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1284
Appears in Collections:Operations Management

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