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By Craig K Enders

strolling readers step-by-step via complicated suggestions, this e-book interprets lacking facts ideas into anything that utilized researchers and graduate scholars can comprehend and make the most of of their personal study. Enders explains the explanation and procedural information for max chance estimation, Bayesian estimation, a number of imputation, and types for dealing with lacking no longer at random (MNAR) info. Easy-to-follow examples and small simulated information units illustrate the concepts and make clear the underlying rules. The significant other site (www.appliedmissingdata.com) comprises information documents and syntax for the examples within the e-book in addition to up to date details on software program. The booklet is available to great researchers whereas supplying a degree of aspect that might fulfill quantitative specialists.

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Applied Missing Data Analysis: Methodology in the Social Sciences by Craig K Enders


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