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Full Description
The book is a collection of different aspects of outliers and related topics written by experts. Topics covered include definition of outliers, their sources, consequences, identification, computational and robustness issues, handling of outliers in diversified areas of statistics such as univariate and multivariate data, linear and generalized linear models, time series, linear functional and structural models, circular data, spatial data, big data, high dimensional data, multi-view data. The book emphasizes the importance of outliers, and will appeal to workers in Data Mining; which is one of the fastest-growing business applications of statistics. The book makes outlier detection methods widely usable by practitioners. Examples are drawn from various fields.
Contents
A Brief History of Statistical Outliers. Some Recent Developments in the Identification of Outliers in Spatial Data and Spatial Regression. Identification of Multiple Unusual Observations in Generalized Linear Models. The Conditional Breakdown Properties of LAD-LASSO Regression. Statistical Methods for Identifying Outliers in Univariate and Multivariate Data. Statistical Modeling of Maximum Rainfall in Guinea. Statistical Outliers and a New Generalized Probability Distribution with Applications. Outlier detection based on Range Statistic: Empirical Evaluation and Comparisons. Exponentiated Reduced Modified Weibull Distribution. Robust Weighted Random Forest Regression with Alternative Bootstrap. Robust Remedies for Multiple Regression Model in the Presence of High Leverage Collinearity-Influential Observations. Mixture Modeling of Car Insurance Claim in Zimbabwe. Examining Research in Statistics and Computer Science Literatures: The Need to Cross the Borders and to Adapt and Modernize the Statistics Discipline. On a Unit-EEG Quantile Regression Analysis. The cos-modified Lindley distribution: Properties, Estimation and Applications. The two-sided generalized Lomax distribution: estimation and application. Monitoring the Blood Levels of Animals using Control Charts. On Classical and Bayesian Inference for Bivariate Binomial Conditionals Distributions: Properties and Applications. Applications of the cos-modified Lindley distribution on Climate Data. Classification of Rainfall Regions in the U.K. Using Spatial Distances. Identification of High Leverage Points in High Dimensional Sparse and Non-Sparse Data. Design of Control Chart using Gini-Process Capability Index and Resampling. Robust Measures of Goodness-of-Fit and Outlier Detection in Linear Regression Models.
