Methods and apparatus to evaluate model stability and fit

A stable, regression model technology, applied in instrumentation, marketing, data processing applications, etc., can solve problems such as affecting customer shopping behavior

Inactive Publication Date: 2014-01-29
THE NIELSEN CO (US) LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Additionally, the online retailing method has become a growing method

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  • Methods and apparatus to evaluate model stability and fit
  • Methods and apparatus to evaluate model stability and fit
  • Methods and apparatus to evaluate model stability and fit

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[0012] Market analysts may be given one or more tasks related to understanding the impact of different factors on sales over time. Market analysts may perform such work in response to client requests. These customers may be manufacturers, retailers, traders and / or wholesalers who wish to know and / or otherwise understand factors that help and / or hurt sales. Factors that can affect sales include, but are not limited to: promotional events (eg, TV promotions, radio promotions, print promotions, online promotions, etc.), macroeconomic factors and seasons.

[0013] To better understand what relationship exists between one or more factors, you can perform a statistical regression analysis using independent and dependent variables related to the customer's sales environment. Independent variables may include a variety of factors, some of which are under the client's control, such as, for example, promotional media type (eg, television, radio, etc.), promotional target audience, p

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Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to evaluate model stability and fit. An example method disclosed herein includes building a fit function based on causal factors associated with a marketing mix model, building a stability function based on override factors associated with corresponding ones of the causal factors, and integrating scaling factors into the stability function to facilitate a combined regression analysis of the fit function and the stability function, the scaling factors respectively associated with corresponding causal factors.

Description

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Claims

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Application Information

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Owner THE NIELSEN CO (US) LLC
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