Statistical Modeling
Statistical Modeling is the process by which events of interest are approximated using statistical methods and interpretation. The goal of statistics is to bring uncertainty and complexity into an organized form, allowing it to be quantified.[2] This can be very useful when trying to determine accuracy of collected data, or for approximating the course of an event which has not yet occurred. Though much of statistics can be performed without computers, technology plays a critical role in the ability to generate accurate and useful models for any amount of data.
Contents
Background
Statistical modeling begins with a question and the desire to find an answer to the question. This can be formulated by an individual or group of researchers or by a company. The next step is to decide what sort of data needs to be collected in order to help answer the question. The researcher then goes on to plan out a methodology for data collection.
Types
Uses
In Medicine
Recommender Systems
Ethical Concerns
See Also
Data Mining
Data Aggregation Online
References
- ↑ Cobb, Loren. The Causes of Global Warming: A Graphical Approach. 2007. Photograph. n.p. Web. 9 Oct 2012. <http://tqe.quaker.org/2007/TQE158-EN-GlobalWarming-V1.html>.
- ↑ Kaplan, Daniel. Statistical Modeling: A Fresh Approach. 2nd ed. Saint Paul: Project Mosaic, 2012. vii. Print.
