Example: stock market
214-29: Assessing Model Fit and Finding a Fit Model
Outliers will affect the fit. There are techniques for detecting them Πsome better than others- but there is no universal way of dealing with them. Plots, smoothing plots such as PROC LOESS and PROC PRINCOMP help detect outliers. If there is a sound reason why the data point should be disregarded then the outlier may be deleted form analysis.
Tags:
Information
Domain:
Source:
Link to this page:
Documents from same domain
027-2009: Tips and Tricks for Creating the Reports …
support.sas.comPaper 027-2009 TIPS AND TRICKS FOR CREATING THE REPORTS YOUR CLIENTS NEED TO SEE Michael J Molter, INC Research, Raleigh, NC ABSTRACT Advanced reporting tools such as PROC REPORT have progressed by leaps and …
Step-by-Step Programming with Base SAS Software
support.sas.comThe correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2001. Step-by-Step Programming with Base SAS® Software.Cary, NC: SAS Institute Inc.
227-2012: Executing a PROC from a DATA Step - …
support.sas.com2 Using RUN_MACRO to execute a PROC from a DATA step requires writing three blocks of code, described in the Introduction: a macro to execute a PROC, a user-written function to execute the macro, and a DATA step to call the
149-2012: Queries, Joins, and WHERE Clauses, Oh …
support.sas.comPaper 149-2012 Queries, Joins, and WHERE Clauses, Oh My!! Demystifying PROC SQL Christianna S. Williams, Chapel Hill, NC ABSTRACT Subqueries, inner joins, outer joins, HAVING expressions, set operators…just the terminology of PROC SQL might
158-2010: How to Use Arrays and DO Loops: Do I …
support.sas.com1 Paper 158-2010 How to Use ARRAYs and DO Loops: Do I DO OVER or Do I DO i? Jennifer L Waller, Medical College of Georgia, Augusta, GA ABSTRACT
248-2009: Learning When to Be Discrete: …
support.sas.com1 Paper 248–2009 Learning When to Be Discrete: Continuous vs. Categorical Predictors David J. Pasta, ICON Clinical Research, San Francisco, CA ABSTRACT
338-2011: An Introduction to Survival Analysis …
support.sas.com2 (Censored) Study Ends (From Applied Survey Data Analysis, p. 306) Figure 1. Prospective View of Event History Survey Data Time can be regarded as continuous or discrete and this basic distinction affects the analytic approach selected.
Dongsheng Yang and Jarrod E. Dalton - SAS
support.sas.com1 Paper 335-2012 A unified approach to measuring the effect size between two groups using SAS® Dongsheng Yang and Jarrod E. Dalton Departments of Quantitative Health Sciences and Outcomes Research
SAS/STAT 9.2 User's Guide: Introduction to Power …
support.sas.comSAS/STAT ® 9.2 User’s Guide Introduction to Power and Sample Size Analysis (Book Excerpt) SAS® Documentation
249-2012: A Tutorial on the SAS® Macro Language
support.sas.com1 Paper 249-2012 A Tutorial on the SAS® Macro Language John J. Cohen, Advanced Data Concepts LLC, Newark, DE ABSTRACT The SAS macro language is another language layering on top of regular SAS code.
Related documents
SEVENTH EDITION Using Multivariate Statistics
www.pearsonhighered.com4.1.4 Outliers 62 4.1.4.1 Detecting Univariate and Multivariate Outliers 63 4.1.4.2 Describing Outliers 66 4.1.4.3 Reducing the Influence of Outliers 66 4.1.4.4 Outliers in a Solution 67 4.1.5 Normality, Linearity, and Homoscedasticity 67 4.1.5.1 Normality 68 4.1.5.2 Linearity 72 4.1.5.3 HomoscedasticityHomogeneity ...
統計実務におけるレンジチェックの ... - Stat
www.stat.go.jpexamination includes detecting extreme values using editing bounds for the quantitative data. Since the data size of the official statistical surveys tends to be large, the editing bounds are often prepared in advance using the previous survey data in which outliers are inevitable. Under ordinary circumstances, outliers may not be properly
Deep One-Class Classification - Proceedings of Machine ...
proceedings.mlr.press2(0;1] is (i) an upper bound on the fraction of outliers, and (ii) a lower bound on the fraction of support vectors (points that are either on or outside the boundary). This re-sult is known as the -property (Scholkopf et al.¨ ,2001) and allows one to incorporate a prior belief about the fraction of
Tips and Tricks for Analyzing Non-Normal Data
www.qualitymag.comThis article will cover various methods for detecting non-normal data, and will review valuable tips and tricks for analyzing non-normal data when you have it. The 10 data points graphed here were sampled from a normal distribution, yet the histogram appears to be skewed. Helpful hint: Avoid histograms for small sample sizes.