Applied Missing Data Analysis Enders Craig K.
The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. State-of-the-art technical literature on missing data is translated into accessible guidelines fo… Celý popis ↓
Porovnanie cien Applied Missing Data Analysis Enders Craig K.
Popis Applied Missing Data Analysis Enders Craig K.
Applied Missing Data Analysis Enders Craig K.
The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis.
Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation.
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