Statistical Outliers and Related Topics

Mir Masoom Ali, Rahmatullah Imon, Irfan Ali, Haitham M. Yousof

• Publisher: CRC Press
• Year: 2025
• Topic: Mathematics
• eBook ISBN:
  9781040307793
• Subtopic: Statistics for Business & Economics
• Index: Mathematics

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.

Table of contents

• Cover Page
• Title Page
• Copyright Page
• Preface
• Contents
• Chapter 1 A Brief History of Statistical Outliers
• Chapter 2 Some Recent Developments in the Identification of Outliers in Spatial Data and Spatial Regression
• Chapter 3 Identification of Multiple Unusual Observations in Generalized Linear Models
• Chapter 4 The Conditional Breakdown Properties of LAD-LASSO Regression
• Chapter 5 Statistical Methods for Identifying Outliers in Univariate and Multivariate Data
• Chapter 6 Statistical Modeling of Maximum Rainfall in Guinea
• Chapter 7 Statistical Outliers and a New Generalized Probability Distribution with Applications
• Chapter 8 Outlier Detection Based on Range Statistic: Empirical Evaluation and Comparisons
• Chapter 9 Exponentiated Reduced Modified Weibull Distribution
• Chapter 10 Robust Weighted Random Forest Regression with Alternative Bootstrap
• Chapter 11 Robust Remedies for multiple Regression Model in the Presence of High-Leverage Collinearity-Influential Observations
• Chapter 12 Mixture Modeling of Car Insurance Claim in Zimbabwe
• Chapter 13 Examining Research in Statistics and Computer Science Literatures: The Need to Cross the Borders and Adapt and Modernize the Statistics Discipline
• Chapter 14 On a Unit-EEG Quantile Regression Analysis
• Chapter 15 The Cos-Modified Lindley Distribution: Properties, Estimation, and Applications
• Chapter 16 The Two-Sided Generalized Lomax Distribution: Estimation and Application
• Chapter 17 Monitoring the Blood Levels of Animals using Control Charts
• Chapter 18 On Classical and Bayesian Inference for Bivariate Binomial Conditionals Distributions: Properties and Applications
• Chapter 19 Applications of the Cos-Modified Lindley Distribution on Climate Data
• Chapter 20 Classification of Rainfall Regions in the UK Using Spatial Distances
• Chapter 21 Identification of High Leverage Points in High Dimensional Sparse and Non-Sparse Data
• Chapter 22 Design of Control Chart Using Gini-Process Capability Index and Resampling
• Chapter 23 Robust Measures of Goodness-of-Fit and Outlier Detection in Linear Regression Models
• Index