249 search results for "market research"

Using survival models for marketing attribution

July 23, 2013
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by Andrie de Vries Prior to joining Revolution Analytics in March this year, I spent several years in the field of market research and survey analytics. During this period, I spent a few months consulting to a digital marketing agency based in London. My role was to help build their capability in building customer surveys and integrating these into...

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Evaluating the Potential Incorporation of R into Research Methods Education in Psychology

July 17, 2013
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I was recently completing some professional development activities that required me to write a report on a self-chosen topic related to diversity in student backgrounds. I chose to use the opportunity to reflect on the potential for using R to teach psychology students research methods. I thought I'd share the report in case it interests anyone. Abstract...

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Thursday: Tweet-chat on Multiple Sclerosis research

May 7, 2012
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The story about the great work that SUNY Buffalo has been doing to find a cure for Multiple Sclerosis with Revolution R Enterprise and IBM Netezza has generated a lot of attention, with stories in Forbes, InformationWeek and eWeek (amongst others). To continue the discussion, IBM has put together a panel for a "Tweet Chat" on Thursday (May 10)...

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Modelling returns using PCA : Evidence from Indian equity market

December 26, 2011
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As my finance term paper, I investigated an interesting question where I tried to identify macroeconomic variables that explain the returns on equities. Much of the debate has already taken place on this topic which has given rise to two competing theo...

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Review: Financial Risk Forecasting – The Theory and Practice of Forecasting Market Risk, with Implementation in R and MATLAB by Jon Danielsson

July 16, 2011
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Guest post to R-bloggers by Dr Kris Boudt. ——————– R has always been my favorite language to forecast financial risk in my research and consulting. But, I have been reluctant to use it in my lectures on financial risk. It is certainly not the absence of appropriate R packages that refrained me. On the contrary, there is a large...

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How Marketo uses Revolution R Enterprise

July 6, 2011
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Marketo, a leading marketing automation company, relies on data analysis to implement the features in its hosted application that help companies get the most out of their marketing dollar. We've just published a case study about how Marketo uses Revolution R Enterprise and the R language to analyze the massive data sets generated by their customers: “I use it...

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Exploring the Market with Hurst

June 17, 2011
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Exploring the Market with Hurst

Randomly trudging through PerformanceAnalytics source code, I was intrigued by the Hurst Index calculation, which I discovered is more commonly called Hurst Exponent.  After quickly satisfying myself that I could actually do the rolling Hurst calculat...

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Open Source replacements for Operations Research and Analytics Software

April 21, 2011
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Open Source replacements for Operations Research and Analytics Software

I was reading an article from Datamation on 70 Open Source Replacements for Small Business when I noticed a glaring omission.  Where are the software applications for Operations Research and Analytics?  So here is my best addendum to this art...

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Open Source replacements for Operations Research and Analytics Software

April 21, 2011
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Open Source replacements for Operations Research and Analytics Software

I was reading an article from Datamation on 70 Open Source Replacements for Small Business when I noticed a glaring omission.  Where are the software applications for Operations Research and Analytics?  So here is my best addendum to this art...

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RSI(2) and the pre 80s Market

February 17, 2011
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RSI(2) and the pre 80s Market

In his detailed research on RSI(2) indicator, MarketSci emphasized several times that the contrarian strategies based on the RSI(2) indicator didn’t start working until the 80s. I remembered this observation recently when I observed another interesting anomaly … In statistics, an important initial step in studying time series data is to consider the auto correlation

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