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f outliers in a set of data. We examine the different interests (from rejection of unacceptable contamination, through the accommodation of outliers with reduced influence in robust procedures applied to the whole set of data, to specific identification of outliers as the facets of pri.
These 5 measurements are examples of outliers. There are no outliers in the first 7 measurements or the last 11, so the outliers are somewhat concentrated in the horizontal direction, with the largest two coming on the 9th and 10th measurements and the 4th-largest on the 8th.
30 Ιουν 2010 · Examples of various outliers found in regression analysis. Case 1 is an outlier with respect to X. Case 2 is an outlier with respect to Y. Case 3 is an outlier with respect to X and Y. All three...
1 Ιαν 2005 · We present several methods for outlier detection, while distinguishing between univariate vs. multivariate techniques and parametric vs. nonparametric procedures. In presence of outliers,...
1 Ιαν 2004 · The goal of this paper is to summarize the various potential causes of extreme scores in a data set (e.g., data recording or entry errors, motivated mis-reporting, sampling errors, and legitimate...
How do we know that a linear regression model is the best choice? What other types of regression are there? There are many other types. How many would you like? The linear model is by far the simplest, but it is not the only choice. TI-83 Nonlinear Regression. The TI-83 will do a variety of nonlinear regressions. Press STAT > CALC.
This booklet concentrates on the practical aspects of dealing with outliers in data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments.
