473 search results for "market research"

When Discrete Choice Becomes a Rating Scale: Constant Sum Allocation

February 19, 2013
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Why limit our discrete choice task to next purchase when we can ask about next ten purchases?  It does not seem appropriate to restrict choice modeling to one selection only when repeat purchases from the same choice set&n...

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Nine lightning talks on R

October 12, 2012
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At Tuesday's Bay Area R User Group meetup, nine speakers gave five-minute talks on various aspects of R. Revolution Analytics' Luba Gloukhov was one of the presenters, and also provides the summary of the talks below. Links to the slides are included where available for you to check out. Ariel Faigon: Chrestomathy with R Ariel walked us through his...

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Gamification Quantification

July 18, 2012
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Surveys become engaging when they become games, or at least, take on some of the characteristics of games.  This is the argument made by those advocating the gamification of marketing research [http://researchaccess.com/2011/12/market-researc...

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Surveys, Assumptions, and the Need for Data Collection Alternatives

April 2, 2012
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Surveys, Assumptions, and the Need for Data Collection Alternatives

This is a long post. My previous posts have mostly been about my thoughts on various research subjects. This one reports an actual analysis. If you don’t want to read the whole thing, here are the highlights: We really need to stop using surveys so much. If we have to use surveys, it’s probably best

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Commercial Analytics: The Capabilities

October 5, 2011
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Commercial Analytics: The Capabilities

Commercial Analytics is the kind that makes money. From data to dollars, insights to income, this is all about how to run the business better. To do it and to do it well you need certain capabilities in place. This article builds a map of those business capabilities to help you assess, understand, and plan your business.

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40 Fascinating Blogs for the Ultimate Statistics Geek!

January 20, 2011
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I am happy to report that ByteMining is listed on “40 Fascinating Blogs for the Ultimate Statistics Geek“! Some of the ones that I frequently read, or are written by Twitter friends/followers (in no particular order): R-bloggers, an aggregate site containing blog posts tagged as posts about R. High quality content. Statistical modeling, causal inference and social science. This one is...

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Trading Strategy: 52-Weeks High Effect in Stocks

May 8, 2017
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Trading Strategy: 52-Weeks High Effect in Stocks

By Milind Paradkar In today’s algorithmic trading having a trading edge is one of the most critical elements. It’s plain simple. If you don’t have an edge, don’t trade! Hence, as a quant, one is always on a look out for good trading ideas. One of the good resources for trading strategies that have been... The post Trading...

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Survival Analysis with R

April 25, 2017
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Survival Analysis with R

With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, Survival Analysis is one of the oldest subfields of Statistics . Basic life-table methods, including techniques for dealing with censored data, were known before 1700 . In the early eighteenth century, the old masters, de...

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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

April 14, 2017
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Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

I will use {ordinal} clm() (and other cool R packages such as {text2vec} as well) here to develop a hybrid content-based, collaborative filtering, and (obivously) model-based approach to solve the recommendation problem on the MovieLens 100K dataset in R. All R code used in this project can be obtained from the respective GitHub...

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Nuts and Bolts of Quantstrat, Part V

April 13, 2017
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Nuts and Bolts of Quantstrat, Part V

This post will be about pre-processing custom indicators in quantstrat–that is, how to add values to your market data that … Continue reading →

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