Essays about: "MCAR"
Found 5 essays containing the word MCAR.
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1. IPW vs Imputation for Non-response : a simulation study
University essay from Stockholms universitet/Statistiska institutionenAbstract : The non-response is a growing issue and it is effecting the result of survey quality, it can there- fore not be ignored without substantial consequences. There are many methods on how to deal with non-response, both on how to avoid the non-response and how to minimise the con- sequences, like the non-response bias. READ MORE
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2. Estimation of Regression Coefficients under a Truncated Covariate with Missing Values
University essay from Uppsala universitet/Statistiska institutionenAbstract : By means of a Monte Carlo study, this paper investigates the relative performance of Listwise Deletion, the EM-algorithm and the default algorithm in the MICE-package for R (PMM) in estimating regression coefficients under a left truncated covariate with missing values. The intention is to investigate whether the three frequently used missing data techniques are robust against left truncation when missing values are MCAR or MAR. READ MORE
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3. Predicting the Unobserved : A statistical analysis of missing data techniques for binary classification
University essay from Uppsala universitet/Statistiska institutionenAbstract : The aim of the thesis is to investigate how the classification performance of random forest and logistic regression differ, given an imbalanced data set with MCAR missing data. The performance is measured in terms of accuracy and sensitivity. READ MORE
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4. Causal discovery in the presence of missing data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Missing data are ubiquitous in many domains such as healthcare. Depending on how they are missing, the (conditional) independence relations in the observed data may be different from those for the complete data generated by the underlying causal process (which are not fully observable) and, as a consequence, simply applying existing causal discovery methods to the observed data may give wrong conclusions. READ MORE
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5. Auxiliary variables a weight against nonresponse bias : A simulation study
University essay from Stockholms universitet/Statistiska institutionenAbstract : Today’s surveys face a growing problem with increasing nonresponse. The increase in nonresponse rate causes a need for better and more effective ways to reduce the nonresponse bias. There are three major scientific orientation of today’s research dealing with nonresponse. READ MORE
