منابع مشابه
Robust factor analysis
Our aim is to construct a factor analysis method that can resist the effect of outliers. For this we start with a highly robust initial covariance estimator, after which the factors can be obtained from maximum likelihood or from principal factor analysis (PFA). We find that PFA based on the minimum covariance determinant scatter matrix works well. We also derive the influence function of the P...
متن کاملRobust Approaches to Factor Analysis
Factor analysis (FA) is a standard technique in multivariate analysis which is routinely used in social and behavioral sciences. The aim of factor analysis is to summarize the correlation structure of observed variables X1; X2; : : : ; Xp: For this purpose one constructs k < p unobservable or latent variables f1; : : : ; fk, which are called the factors, and which are linked with the original v...
متن کاملA Robust Version of Principal Factor Analysis
Our aim is to construct a factor analysis method that can resist the effect of outliers. We start with a highly robust initial covariance estimator, after which the factors can be obtained from maximum likelihood or from principal factor analysis (PFA). We find that PFA based on the minimum covariance determinant scatter matrix works well. We also derive the influence function of the PFA method...
متن کاملRobust factor analysis for compositional data
Factor analysis as a dimension reduction technique is widely used with compositional data. Using the method for raw data or for improperly transformed data will, however, lead to biased results and consequently to misleading interpretations. Although some procedures, suitable for factor analysis with compositional data, were already developed, they require pre-knowledge of variable groups, or a...
متن کامل9 Robust Factor Analysis: Methods and Applications
The word robustness is frequently used in the literature, and is often stated with completely di®erent meaning. In this contribution robustness means to reduce the in°uence of \unusual" observations on statistical estimates. Such observations are frequently denoted as outliers, and are often thought to be extreme values caused by measurement or transcription errors. However, the notion of outli...
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ژورنال
عنوان ژورنال: Medical Teacher
سال: 2014
ISSN: 0142-159X,1466-187X
DOI: 10.3109/0142159x.2014.970992