Global ETD Search

1	Use of Ranking Information From Unmeasured Units in Ranked Set and Judgement Post Stratified Samples Sgambellone, Anthony James January 2013 (has links) No description available. Statistics RSS JPS Order Statistics Ranking Information Ranked Set Sample Judgement Post Stratification
2	On Estimation Problems in Network Sampling Wei, Ran January 2016 (has links) No description available. Statistics
3	Benchmark estimation for Markov Chain Monte Carlo samplers Guha, Subharup 18 June 2004 (has links) No description available. Statistics benchmark estimation variance reduction MCMC post-stratification over-dispersion semiparametric models mixture of Dirichlet processes
4	Bayesian Nonparametric Models for Ranked Set Sampling Gemayel, Nader M. 30 July 2010 (has links) No description available. Statistics Ranked Set Sampling Judgment Ranking MCMC Nonparametric Bayes Judgment Post-stratification Nonconjugate Models
5	Non-response error in surveys Taljaard, Monica 06 1900 (has links) Non-response is an error common to most surveys. In this dissertation, the error of non-response is described in terms of its sources and its contribution to the Mean Square Error of survey estimates. Various response and completion rates are defined. Techniques are examined that can be used to identify the extent of nonresponse bias in surveys. Methods to identify auxiliary variables for use in nonresponse adjustment procedures are described. Strategies for dealing with nonresponse are classified into two types, namely preventive strategies and post hoc adjustments of data. Preventive strategies discussed include the use of call-backs and follow-ups and the selection of a probability sub-sample of non-respondents for intensive follow-ups. Post hoc adjustments discussed include population and sample weighting adjustments and raking ratio estimation to compensate for unit non-response as well as various imputation methods to compensate for item non-response. / Mathematical Sciences / M. Com. (Statistics) Non-response bias Unit non-response Item non-response Response rate Completion rate Substitution Call-backs and follow-ups Sub-sampling Response mechanism Sample weighting Population weighting Post-stratification Raking ratio estimation Imputation Distance function matching 001.433 Social surveys -- Response rate Surveys -- Statistical methods
6	Non-response error in surveys Taljaard, Monica 06 1900 (has links) Non-response is an error common to most surveys. In this dissertation, the error of non-response is described in terms of its sources and its contribution to the Mean Square Error of survey estimates. Various response and completion rates are defined. Techniques are examined that can be used to identify the extent of nonresponse bias in surveys. Methods to identify auxiliary variables for use in nonresponse adjustment procedures are described. Strategies for dealing with nonresponse are classified into two types, namely preventive strategies and post hoc adjustments of data. Preventive strategies discussed include the use of call-backs and follow-ups and the selection of a probability sub-sample of non-respondents for intensive follow-ups. Post hoc adjustments discussed include population and sample weighting adjustments and raking ratio estimation to compensate for unit non-response as well as various imputation methods to compensate for item non-response. / Mathematical Sciences / M. Com. (Statistics) Non-response bias Unit non-response Item non-response Response rate Completion rate Substitution Call-backs and follow-ups Sub-sampling Response mechanism Sample weighting Population weighting Post-stratification Raking ratio estimation Imputation Distance function matching 001.433 Social surveys -- Response rate Surveys -- Statistical methods

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