Questions tagged [operations-research]

uses mathematical and statistical methods to improve efficiency

56 questions
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Operations research versus statistical analysis?

What is the difference between operations research and statistical analysis?
pramodc84
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2 answers

What are differences between industrial statistics and social science statistics/econometrics that are potential stumbling blocks?

Main question up front: what are differences between econometrics/social science statistics that and industrial statistics that people switching between the two should be are of? I got a PhD in mathematical statistics in December and have a job now…
6
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1 answer

Designing a Simple (a.k.a 'bad') Ranking value from several values of unknown distribution

I am but a humble developer, so please forgive if I butcher terminology of confuse concepts. I am looking at designing a simple ranking of Average Internet Audience Rank based upon a bloggers audience size (Twitter/Tumblr/Facebook friends) and how…
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1 answer

What is the difference between the Poisson distribution and the uniform distribution?

I'm modeling a factory with orders arriving independently of each other. I need a series of actual time stamps of arrivals. I've been told that everyone uses the Poisson distribution to model arrivals. Fine. But what I can't understand is how…
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1 answer

What are good references for dynamic pricing?

I think that dynamic pricing algorithms (used in aviation and ticketing industry) is very statistical based, anyone here has experience with those algorithms with references for it?
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2 answers

Why do Statistics, Machine learning and Operations research stand out as separate entities

It seems nowadays people who work in ${\bf Statistics, \ Machine\ Learning \ and \ Operations\ research }$ all consider themselves as working in data analytics. These three categories try to solve similar problems however through different…
Wis
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1 answer

Convert maximization problem to minimization

I am looking at the derivation of the Maximal Margin Classifier model, where they typically transform the following maximization problem: into this minimization problem: Why is maximizing $\frac{1}{\left\|\mathbf{w}\right\|}$ equal to minimizing…
Drizzt
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1 answer

QR Factorization to Solve Least Squares Without Using an Inverse

I'm playing around with different ways to solve least squares, and am using numpy to derive values for $\beta$ in a regression problem. I know that if you do a $QR$ factorization of $X$ such that $ X = QR $ where Q is an $m x n$ orthonormal…
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A YouTube View Estimator

Here's a thought experiment that I can't come up with a good answer for. Imagine you have 5 YouTube videos that you want to reach 50,000 views (10,000 views per video) by the 10th day after publishing the videos on YouTube. Of course, you have no…
4
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1 answer

Constrained assignment problem (Linear Programming, Genetic Algorithm, etc...)

I'm looking for advice on how I should approach a specific problem. I have about 1000 shops that I have to assign to about 20 different supply centers out of a possible 28, and I'm trying to pick the best 20 (or less) centers that minimizes the…
4
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2 answers

What is a good model for revenue managment / price optimization problem

I am trying to create a dynamic pricing model to optimize revenue for a hypothetical business. Lets say I have an application that connects dog walkers to people who want to pay for their dog to get walked. Since the demand and supply fluctuate, If…
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Where can I learn the math behind how airlines dynamically price tickets?

It's easy to think of factors that airlines take into account, and how the price will vary over time. There are no shortage of articles or medium posts about that. But how can I frame this as a regression problem? I think this reduces to something…
3
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2 answers

Bayesian genetic algorithms?

I'm not sure that "Bayesian genetic algorithms" is a real term or even a concept in research. For a while now, I've preferred genetic algorithms as my go-to heuristic optimization technique, as they're relatively easy to implement, can produce an…
3
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1 answer

How to derive a conclusion with the scatterplot that we made using the data in a quantitative research?

How can we write the result section by using the scatter plot that we made using the data in a quantitative research. Also most importantly if the scatter plot shows no correlation.
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2 answers

Machine learning for dynamic pricing

I haven't been able to find a good answer for this (though I know that there are a few related questions): How does Amazon determine how to price a product? How does it figure out when to downprice, and by how much? I'm sure that there's some…
Olga Mu
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