Showing posts with label stackexchange. Show all posts
Showing posts with label stackexchange. Show all posts

21 May 2018

Credibility and the Internet: Queuing Theory

This was old news about queues back in the 1990s, yet it was written up as an (Inderscience) journal article, and received coverage as though a new finding in the June 2010 issue of ScienceDaily, an online "new discoveries!" update service owned by Reuters. See footnote #1 for even more.

M/M/1 queues, Kendall notation, and models of balking and reneging behavior are certainly useful. However, the concepts and most models have been well-established for at least forty years.

This Wiley text book, Fundamentals of Queueing Theory, was published in 1998.



An earlier edition was published in 1983, and explains in detail the theory and application of the concepts presented in the journal article summarized by ScienceDaily in 2010.

A little more about M/G/1

Over at Math StackExchange, I noticed a rare inquiry. If you're curious to learn more about queues, go read my answer to this question, Kendall notation's “General distribution”, what does that mean?

I found this comment endearing:

Oh I thought that this stuff wasn't even used in real life jobs... I thought it was merely theoretical, but seems that I'm wrong!
I'm okay with the G general theory [G as the general case when you just don't know what sort of service time distribution to expect] since I'm not required to study it for now (I'm following an academic course), I just wanted to understand what the G meant and you helped me in that. Do you have any experience with multi-class queues too?

Reference
  1. Liao et al. "Optimal staffing policy for queueing systems with cyclic demands." International Journal of Services and Operations Management, 2010; 7: 317-332.

08 July 2012

Statistical analysis of science fiction authors and fans

The classic science-fiction related excerpt that follows after the jump is neither up to-date nor analytically robust. I tidied it a bit, but to do a decent job would require re-running the data, not to mention collecting data with a more recent vintage. But it is entertaining, and the concept may be of use to others. To whom? Well, I have spent a fair amount of time on Stack Exchange sites recently. Let me tell you all about it.

What is Stack Exchange?


Question and answer websites are popular. Stack Exchange is a free, mostly user-run Q&A site. It was co-founded and managed by Jeff Atwood a.k.a. @Coding Horror and Joel Spolsky. EDIT: Joel now runs Stack Exchange, as The Coding Horror has departed.

The prototype version of the site was known as Stack Overflow, and continues to thrive. There are many stacks on Stack Exchange. Most are computing or analytically-themed e.g. programming, systems administration, website design, mobile applications development, mathematics and quantitative finance. Others are more eclectic, and thus of a more experimental nature. They are labelled as such, by a beta designation, and guided along by the whimsically named Area51 Stack Exchange site. Now that you've been enlightened by that tangential aside, I'll get to the point. I was thinking of Literature Stack Exchange in particular.

The problem at hand


Literature Stack Exchange was initially overrun by book-recommendation inquiries. This was unfortunate. Why? Because suggestions about subjective matters are nearly impossible to provide to friends and relatives, let alone on an online forum. Fortunately, the issue has resolved itself for the time being, through better site administration.

Update - The issue has resolved itself permanently, because the site was closed due to a general lack of interest in early May of this year. Stack Exchange does have a thriving Science Fiction community, which enjoys a great deal of activity! So let us continue, along the same, still relevant theme.

Perhaps the following approach might provide inspiration for those seeking reading material recommendations.

Via io9:
Politics has not only reared its ugly head, but pushed much of its slimy body into the world of science fiction.

A Political-Scientific Mapping

chart of sci-fi sub-genres with political preferences of fans
Correlation between sci-fi sub-genres 
by author and reader political viewpoint
Continue...