In statistical language, if the number of the cases is less than 5% of the sample, then the researcher can drop them. In the case of multivariate analysis, if there is a larger number of missing values, then it can be better to drop those cases (rather than do imputation) and replace them.
Solutions 5. Chapter 6. Linear Model Selection and Regularization 5.1. Lab ... An Introduction to Statistical Learning: 6.8 Exercises Exercise 8
In the era of data deluge, the development of methods for discovering structure in high-dimensional data is becoming increasingly important. This course will cover state-of-the-art methods from algebraic geometry, sparse and low-rank representations, and statistical learning for modeling and clustering high-dimensional data.
Effective Learning Service. Introduction to Research and Research Methods. University of Bradford, School of Management. This workbook is a short introduction to research and research methods and will outline some, but not all, key areas of research and research methods