Thesis (Ph. D.)--University of Toronto, 2005. / Includes bibliographical references (leaves 208-214).

Thesis (Ph. D.)--University of Washington, 1990. / Vita. Includes bibliographical references (leaves [158]-163).

Wong Yuen Kwan Virginia. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 85-86). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Deletion and Distance Measure --- p.6 / Chapter 2.1 --- Mahalanobis and Cook's Distances --- p.6 / Chapter 2.2 --- Defining New Measure Di --- p.8 / Chapter 2.3 --- Derivation of cov(s(i) ´ؤ s) --- p.10 / Chapter 3 --- Procedures for Detecting Influential Observations --- p.18 / Chapter 3.1 --- The One-Step Method --- p.18 / Chapter 3.1.1 --- The Method --- p.18 / Chapter 3.1.2 --- Design of Simulation Studies --- p.19 / Chapter 3.1.3 --- Results of Simulation Studies --- p.21 / Chapter 3.1.4 --- Higher Dimensional Cases --- p.24 / Chapter 3.2 --- The Forward Search Procedure --- p.24 / Chapter 3.2.1 --- Idea of the Forward Search Procedure --- p.25 / Chapter 3.2.2 --- The Algorithm --- p.26 / Chapter 4 --- Examples and Observations --- p.29 / Chapter 4.1 --- Example 1: Brain and Body Weight Data --- p.29 / Chapter 4.2 --- Example 2: Stack Loss Data --- p.34 / Chapter 4.3 --- Example 3: Percentage of Cloud Cover --- p.40 / Chapter 4.4 --- Example 4: Synthetic data of Hawkins et al.(1984) . --- p.46 / Chapter 4.5 --- Observations and Comparison --- p.52 / Chapter 5 --- Discussion and Conclusion --- p.54 / Tables --- p.56 / Figures --- p.77 / Bibliography --- p.85

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Cheung Tsai-Yee Crystal. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 83-85). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- The Importance of Forecasting --- p.1 / Chapter 2 --- Methodology --- p.5 / Chapter 2.1 --- Basic Idea --- p.5 / Chapter 2.2 --- Outliers in Time Series --- p.9 / Chapter 2.2.1 --- One Outlier Case --- p.9 / Chapter 2.2.2 --- Two Outliers Case --- p.17 / Chapter 2.2.3 --- General Case --- p.22 / Chapter 2.2.4 --- Time Series Parameters are Unknown --- p.24 / Chapter 2.3 --- Iterative Procedure for Detecting Outliers --- p.25 / Chapter 2.3.1 --- General Procedure for Detecting Outliers --- p.25 / Chapter 2.4 --- Methods of Constructing Simultaneous Prediction Intervals --- p.27 / Chapter 2.4.1 --- The Bonferroni Method --- p.28 / Chapter 2.4.2 --- The Exact Method --- p.28 / Chapter 3 --- An Illustrative Example --- p.29 / Chapter 3.1 --- Case A --- p.31 / Chapter 3.2 --- Case B --- p.32 / Chapter 3.3 --- Comparison --- p.33 / Chapter 4 --- Simulation Study --- p.36 / Chapter 4.1 --- Generate AR(1) with an Outlier --- p.36 / Chapter 4.1.1 --- Case A --- p.38 / Chapter 4.1.2 --- Case B --- p.40 / Chapter 4.2 --- Simulation Results I --- p.42 / Chapter 4.3 --- Generate AR(1) with Two Outliers --- p.45 / Chapter 4.4 --- Simulation Results II --- p.46 / Chapter 4.5 --- Concluding Remarks --- p.47 / Bibliography --- p.83

Thesis (Ph. D.)--University of Hong Kong, 1987.

Thesis (Ph.D.)--Murdoch University, 2005. / Thesis submitted to the Division of Science and Engineering. Bibliography: leaves 206-214.

Thesis (Ph. D.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains viii, 175 p. : ill. Includes abstract. Includes bibliographical references (p. 171-175).

Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Lu, Jye-Chyi; Committee Co-Chair: Kvam, Paul; Committee Member: Mei, Yajun; Committee Member: Serban, Nicoleta; Committee Member: Vidakovic, Brani. Part of the SMARTech Electronic Thesis and Dissertation Collection.

The mitigation of outliers serves to increase the strength of a relationship between variables. This study defined outliers in three different ways and used five regression procedures to describe the effects of outliers on 50 data sets. This study also examined the relationship among the shape of the distribution, skewness, and outliers.