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- OLS Regression?, Auto-Regression?, Dynamic Regression?: A Practical Modeling Example in Financial Industry
- Regression models are commonly applied when it comes to planning or forecasting. Financial data - due to their historical features of the trend component, cyclical component, and irregular component - might not fit well with traditional regression models. In such cases, an autoregression model or a dynamic regression model will...
- Tags: Financial, SAS Institute, Model, Modeling, Regression Model, Financial Accounting, Finance
- White papers 2007-05-14
Additional Resources
- Improving Credit Scoring by Generalized Additive Model
- Logistic Regression has been widely used in the financial service industry for credit scoring models. Despite its advantages in easy interpretation and low computing cost, Logistic Regression is under the criticism of failure to model the nonlinear features of the predictor's effect on the dependent variable and therefore might lead...
- Tags: Industry, SAS Institute, Logistic Regression, Research & Development, Business Operations
- White papers 2007-05-14
- A Bayesian Approach to Bandwidth Selection for Multivariate Kernel Regression With an Application to State-Price Density Estimation
- Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of bandwidth rather than the kernel function. This nonparametric technique has been employed...
- Tags: Bandwidth, Bayesian, Multivariate Kernel Regression, Kernel Regression
- White papers 2007-11-01
- Regression Splines With Longitudinal DATA
- To account for the longitudinal nature of the data, a mixed model analysis implemented using SAS PROC MIXED is commonly used. It is typical to make comparisons between dose or treatment groups, possibly controlling for demographic variables. When the dose response curve is non-linear, it can be difficult to find...
- Tags: Regression, SAS Institute
- White papers 2007-05-14
- Regression Testing
- Testers are under an obligation to carry out regression testing. This is not an obligation to be taken lightly! Failure to address this obligation has lead to many products being released with defects that should have been caught. Defects that would have been caught had the right regression testing strategy...
- Tags: Regression, Obligation, Strategy, Management
- White papers 2006-08-07
- DRS (rar)
- Least Cubic Method is a new method for data regression analysis. Its expanded Least Square Method, according to the principle, can also apply single factor linear data regression, multi factors linear data regression, single factor non-linear data regression, and multi factors non-linear data regression. This version is the first release...
- Tags: Regression, Least Cubic Method, Data Regression
- Software downloads 2008-01-28
- Using SAS Proc NLMIXED for Robust Regression
- This paper shows how the NLMIXED procedure can be used to fit linear models (simple linear regression, multiple linear regression, analysis of variance and analysis of covariance) when data are not normally distributed or contaminated with potential outliers. This is accomplished using PROC NLMIXED's capability of fitting user defined distributions...
- Tags: Regression, SAS Institute
- White papers 2007-05-14
- A Regression-Based Analytic Model for Dynamic Resource Provisioning of Multi-Tier Applications
- The multi-tier implementation has become the industry standard for developing scalable client-server enterprise applications. Since these applications are performance sensitive, effective models for dynamic resource provisioning and for delivering quality of service to these applications become critical. Workloads in such environments are characterized by client sessions of interdependent requests with...
- Tags: Client-server, Implementation, Regression, Provisioning, IEEE, Servers, Hardware
- White papers 2007-06-16
- An Introduction to Quantile Regression and the QUANTREG Procedure
- Ordinary least-squares regression models the relationship between one or more covariates X and the conditional mean of a response variable Y given X = x. In contrast, quantile regression models the relationship between X and the conditional quantiles of Y given X = x, so it is especially useful in...
- Tags: Regression, SAS Institute, Healthcare
- White papers 2005-03-09
- ForeStock (exe)
- Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven back history. Full intraday capable. Real-time speed in model training. Ready to use professional style expert advisors, indicators and system testers....
- Tags: Regression, Forecasting, Econom-Expert, Sales Force Management, Sales
- Software downloads 2008-03-07
- Imputation of Categorical Variables With PROC MI
- The most generally applicable imputation method available in PROC MI is the MCMC algorithm which is based on the multivariate normal model. While this method is widely used to impute binary and polytomous data, there is a natural concern about the consequences of violating the normality assumption. This paper uses...
- Tags: Method, Variable, SAS Institute
- White papers 2005-03-09
- Fixed Effects Regression Methods in SAS
- Fixed effects regression methods are used to analyze longitudinal data with repeated measures on both independent and dependent variables. They have the attractive feature of controlling for all stable characteristics of the individuals, whether measured or not. This is accomplished by using only within-individual variation to estimate the regression coefficients....
- Tags: SAS Institute
- White papers 2006-02-28
- Comparison of Data Preparation Methods for Use in Model Development With SAS Enterprise Miner
- SAS Enterprise Miner is a powerful tool for model development. As most people who have developed predictive regression or other behavioral models are aware, the bulk of the time spent in developing models isn't in the final production of the regression coefficients, but in variable selection and preparing the input...
- Tags: SAS Institute, SAS Enterprise Miner
- White papers 2006-02-28
- Regression Tester (exe)
- Regression Tester from Info-Pack.com allows you to test the functionality of any page or form on your Web site. Simply build up a list of tests in the program, then press the test button. The program will then run the tests and create a professional report. The reports are fully...
- Tags: Program, Report, Web Site Development, Web Technology, Channel Management, Internet, Marketing
- Software downloads 2006-06-02
- Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling
- Beginning with version 8.2 SAS supports multinomial logistic regression as part of PROC LOGISTIC. As a direct response modeling provider, the authors have found that multinomial logistic regression models often provides with the best solutions. However, using multinomial logistic regression presents some challenges. Programmers are often faced with very large...
- Tags: Regression, SAS Institute, Modeling, Research & Development, Business Operations
- White papers 2007-05-14
- A Purposeful Selection of Variables Macro for Logistic Regression
- The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "Best" model. A decision to keep a variable in the model might be based on the clinical or statistical significance. There are several variable selection algorithms embedded...
- Tags: Algorithm, SAS Institute, Engineering
- White papers 2007-05-14
- Software Testing and Software Development Lifecycles
- This paper outlines a number of commonly used software development lifecycle models, with particular emphasis on the testing activities involved in each model. Irrespective of the lifecycle model used for software development, software has to be tested. Efficiency and quality are best served by testing software as early in the...
- Tags: Software, Software Testing, Software Development, Tools & Techniques, Development Tools, Software/Web Development, Management
- White papers 1997-06-19
- SAS Macros for Automated Model Selection When the Response Variable Is Nominal: Needs and Solutions Involving PROC CATMOD
- SAS does not provide the capability to fit logistic regression models using automated model selection methods, such as forward selection and backwards elimination, when the response variable is nominal. PROC LOGISTIC can provide automated model selection, but is only capable of fitting models with binary or ordinal response variables. This...
- Tags: SAS Institute
- White papers 2007-05-14
- Find the Best Prospects for a New Product by Using a Data Mining Model
- The market department of a financial firm keeps records on customers, including demographic information and their type of accounts. The firm is launching a new product and wishes to determine who are the best prospects among the existing customers for this new product. People are asked to provide a list...
- Tags: Prospect, Neural Network, Data Mining, SAS Institute, Confusion Matrix
- White papers 2007-05-14
- Efficient Regression Tests for Database Applications
- Testing is just as important for database applications as for any other application. The sad truth is that JUnit simply does not work for database applications, and there are no alternatives on the market place. The reason is that there are some fundamental issues in automatizing regression tests for database...
- Tags: Truth, Database Application, Storage, Databases, Hardware, Enterprise Software, Software, Data Management
- White papers 2004-11-19
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