Outliers

Heteroskedasticity

Outliers [NOTE: These notes draw heavily from several sources, including Fox's Regression Diagnostics; Pindyck and Rubinfeld; Statistics for Social Data Analysis, by George Bohrnstedt and David Knoke, 1982; Norusis's SPSS 11 chapter 22 on "Analyzing residuals;" Hamilton's chapter on "Robust ...

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A Review of Statistical Outlier Methods

B. Iglewicz and D.C. Hoaglin, How to Detect and Handle Outliers (American Society for Quality Control, Milwaukee, WI, 1993). 5. M.A. Stephens, ...

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OUTLIER DETECTION

Another related class of methods consists of detection techniques for spatial outliers . These methods search for extreme observations or local instabilities with respect to neighbor-ingvalues, ...

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Teaching Leverage, Outliers, and Influential Observations in ...

Leverage, Outliers, and Influential Observations Page 1 Teaching Leverage, Outliers, and Influential Observations in Introductory Statistics Courses David W. Martin Davidson College Key words: Bivariate Regression; Spreadsheets; RStudent; DFFits; CovRatio Abstract : This paper encourages ...

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REGRESSION OUTLIERS

As with all Rules of Thumb, this provides only a rough guideline (and often tends to identify too many points as potential outliers) . The best strategy is to look at the distribution of Cook's D values and see whether there are any conspicuously large values relative to the others.

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Outliers: The Story of Success by Malcolm Gladwell

Outliers: The Story of Success by Malcolm Gladwell Review by Dr. Greg Wiens Bestselling author Malcolm Gladwell is never content to accept the status quo, unconvinced that things are what they seem.

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A MULTIVARIATE OUTLIER DETECTION METHOD

A MULTIVARIATE OUTLIER DETECTION METHOD P. Filzmoser Department of Statistics and Probability Theory Vienna, AUSTRIA e-mail: [email protected] Abstract A method for the detection of multivariate outliers is proposed which accounts for the data structure and sample size.

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Outliers, level shifts, and variance changes in time series

Outliers, Level Shifts, and Variance Changes in Time Series Outliers, level shifts, and variance changes in time series

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RESIDUALS AND OUTLIERS IN REPLICATE DESIGN CROSSOVER STUDIES

PLEASE SCROLL DOWN FOR ARTICLE This article was downloaded by: [Boehringer Ingelheim Pharmaceuticals GmbH] On: 20 May 2010 Access details: Access Details: [subscription number 917679836]

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Identify outliers, understand the Process

Identifying atypical performance in a software process or atypical entities in software data is important for statistically analyzing processes and products and for statistical process control (SPC) of the software process.

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