301 search results for "market research"

R for finance and other upcoming events

February 12, 2013
By
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...

Read more »

Getting staRted with R.

February 7, 2013
By
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...

Read more »

Data analysis class

February 7, 2013
By
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...

Read more »

Maximize Your Expectations!

January 30, 2013
By
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...

Read more »

Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

January 29, 2013
By
Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

Big Data is the latest technology wave impacting C-Level executives across all areas of business, but amid the hype, there remains confusion about what it all means. The name emphasizes the exponential growth of data volumes worldwide (collectively, 5 Exabytes/ day in the latest estimate I saw from IDC), but more nuanced definitions of Big Data incorporate the following...

Read more »

Reducing Respondent Burden: Item Sampling

January 22, 2013
By
Reducing Respondent Burden: Item Sampling

You received confirmation this morning.  Someone made a mistake programming that battery of satisfaction ratings on your online survey.  Instead of each respondent rating all 12 items using a random rotation, only six randomly selected i...

Read more »

If SPSS can factor analyze MaxDiff scores, why can’t R?

January 17, 2013
By
If SPSS can factor analyze MaxDiff scores, why can’t R?

Answer:  The variance-covariance matrix containing all the MaxDiff scores is not invertible.  R tells you that, either with an error message or a warning.  SPSS, at least earlier versions still in use, runs the factor analysis witho...

Read more »

Slightly Different Measure of Valuation

January 16, 2013
By
Slightly Different Measure of Valuation

I grow tired of the tried and true standard measures of valuation, and from time to time I try to think of alternate methods.  One thought was to analyze Ken French’s Market(ME) to Book(BE) Breakpoints by percentile.  We can see by year at ...

Read more »

Warning: Sawtooth’s MaxDiff Is Nothing More Than a Technique for Rank Ordering Features!

January 14, 2013
By

Sawtooth Software has created a good deal of confusion with its latest sales video published on YouTube.  I was contacted last week by one of my clients who had seen the video and wanted to know why I was not using such a powerful technique for me...

Read more »

Elements of Statistical Learning: free book download

January 9, 2013
By

The go-to bible for this data scientist and many others is The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. Each of the authors is an expert in machine learning / prediction, and in some cases invented the techniques we turn to today to make sense of big data: ensemble...

Read more »