357 search results for "market research"

Data Science in Business/Computational Social Science in Academia?

March 14, 2013
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Data Science in Business/Computational Social Science in Academia?

Nomen Est Omen?Lately, the terms "data science" and "data scientist" turn up at an increasing pace in the R-blog-sphere. Since its first occurrence (to my knowledge,  "data scientist" has been coined by DJ Patil and Jeff Hammerbacher in 2008), th...

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Let’s Do Some Hierarchical Bayes Choice Modeling in R!

March 6, 2013
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Let’s Do Some Hierarchical Bayes Choice Modeling in R!

It can be difficult to work your way through hierarchical Bayes choice modeling.  There is just too much new to learn.  If nothing else, one gets lost in all ways that choice data can be collected and analyzed.  Then there is all this ou...

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The MaxDiff Killer: Rank-Ordered Logit Models

February 27, 2013
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Compared to MaxDiff (Sawtooth Software), ranked-order logit modeling:simplifies data collection without needing additional software to generate experimental designsreduces respondent burden making the task easier and seemingly ...

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Workshops on Modelling Choices using R in Toronto

February 27, 2013
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Making choices is inherently human. We choose between brands of cereal or amongst candidates in an election. At times, choices may be influenced by the characteristics of the decision maker, such as age, income and sex. Choices may also be influenced by the attributes of competing alternatives, such as the cost of travelling between two cities by air or...

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Momentum in R: Part 4 with Quantstrat

February 19, 2013
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Momentum in R: Part 4 with Quantstrat

The past few posts on momentum with R focused on a relatively simple way to backtest momentum strategies. In part 4, I use the quantstrat framework to backtest a momentum strategy. Using quantstrat opens the door to several features and options as well as an order book to check the trades at the completion of … Continue reading...

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Incorporating Preference Construction into the Choice Modeling Process

February 15, 2013
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Statistical modeling often begins with the response generation process because data analysis is a combination of mathematics and substantive theory.  It is a theory of how things work that determines how we ought to collect and analyze&n...

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R for finance and other upcoming events

February 12, 2013
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R for finance and other upcoming events

Featured R for Finance Workshop 2013 March 5-6 in London. The target audience are professionals and academics, who wish to learn the basics of the statistical software R and its use in Finance. The workshop is led by Ron Hochreiter, Pat Burns and Michael Sun. Details are on the Unicom website.  Please reference Burns Statistics … Continue reading...

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Getting staRted with R.

February 7, 2013
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Getting staRted with R.

As a PhD student and researcher, I often hear friends and colleagues say that they want to learn R, but that the learning curve is so steep that they can't seem to get started.  It's true that learning any tool as powerful as R can be confusing at...

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Data analysis class

February 7, 2013
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Data analysis class

I've been writing software to help others do data analysis for a number of years and at the same time trying to work up my nerve to try my own analysis. Why let other people have all the fun? So, when I saw that Jeffrey Leek, biostatistician at Johns Hopkins and coauthor of Simply Statistics, was teaching...

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Maximize Your Expectations!

January 30, 2013
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Maximize Your Expectations!

A Problem A major problem in secondary data analysis is that you didn't get to decide what data was collected. Lets say you were interested in how many times a student has read the Twilight books). Specifically, you want to know how effective the ads for...

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