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Questions tagged [application]

applications of statistics and statistical modeling

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16 views

Interpreting ANOVA results in the educational context

I have run an experiment in a six-week course to measure the effect of my educational treatment on student engagement. The treatment happens on weeks 4 and 6 of the course (for all of the students) ...
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1answer
47 views

Why should we study copulas? [closed]

I am new to the study of copulas and I would like that someone could provide some examples where they are applied, their usefulness and so on. Any help is appreciated. Thanks in advance.
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0answers
25 views

Summarize regression results on different datasets

I have 20 datasets (extracted from 20 different software systems) and fit a logistic regression model on each of them. On every dataset, the model was the same (same dependent variable and the same ...
24
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1answer
473 views

Evidence for man-made global warming hits 'gold standard': how did they do this?

How should we interpret the $5\sigma$ threshold in this research on climate change? This message in a Reuter's article from 25 february is currently all over the news: They said confidence that ...
2
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0answers
24 views

How do I measure effects over years in longitudinal panel data with individuals?

I'm working with a longitudinal panel dataset that surveys the same few thousand individuals biennially and I have six years of this data. My dependent variable would be how much individuals spend on ...
3
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1answer
66 views

How do I learn when to apply which statistical distributions? [closed]

I am learning Bayesian modeling and having trouble keeping straight when it is most appropriate to apply the various statistical distributions beyond the basic ones like the beta, binomial, and ...
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0answers
326 views

Estimate wear distribution based on smal amount of samples

This is a task where I think bayesian statistics can help, but as I only know the basics about it and the question is rather complex I have troubles to get started... Assume a machine where some ...
4
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1answer
49 views

What does this paper mean by mean square error?

I'm reading a paper about estimating fetal weight by ultrasound and other techniques. In Table 2 they give descriptive statistics, to wit: of all the examiners, the one with the highest mean square ...
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1answer
63 views

Do you know of business applications of Reinforcement Learning?

I'm looking for literature on the application of Reinforcement Learning (RL) algorithms in a business context. Most articles and examples in books on RL are about the application of RL to games (...
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0answers
12 views

Variables common to all individuals in a panel

I have been tasked with evaluating the efficiency of different marketing tools for a microfinance bank. I have a panel of seven individuals (seven districts of Tajikistan) over 17 months. Dependent ...
2
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1answer
80 views

What modeling problem does ridge regression solve?

If your modeling problem is that you have too many features, a solution to this problem is LASSO regularization. By forcing some feature coefficients to be zero, you remove them, thus reducing the ...
0
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1answer
106 views

Testing the scope of application of a logistic regression model

My aim is to assess whether I can apply a logistic regression that was fitted on a sample A (where I have explanatory variables and the outcomes) to a different sample B where I don't know the ...
2
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0answers
196 views

Difference between Stochastic Approximation (SA) and Stochastic Gradient Descent (SGD)

I understand the intended use cases for both stochastic approximation algorithms like SPSA or FDSA, and for SGD algorithms like Adam. SPSA is intended for noisy objective functions, and Adam for ...
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0answers
68 views

Mixture of power-law distribution

I have two large sets A and B of (integer) numbers, both obtained with two different (and unknown) probability distributions $\rho_A$ and $\rho_B$. A (also large) set C contains a proportion $p$ of ...
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1answer
722 views

How Do You Choose The Number of Bins To Use For A Chi-Squared GOF Test?

I'm working on developing a physics lab about radioactive decay, and in analyzing sample data I've taken, I ran into a statistics issue that surprised me. It is well known that the number of decays ...
1
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1answer
124 views

Population proportion inference: what statistical error am I committing here?

I am struggling to understand the following paradox. Suppose we have a large population of people who exhibit different values of a trait, e.g. they are sick with different strains of a virus. ...
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2answers
72 views

Compare the slopes of categorical data

Hello I want to compare the slopes of the linear regression lines for the following distributions of sales figures over the years 2009 to 2017. I want to compare the slopes of the regression lines - ...
2
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1answer
155 views

Real world applications of regressing complex numbers?

I recently extended a linear regression software I developed to include complex variables. It works very well but I am not familiar with how this can be used in the real world. I scoured the web to ...
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2answers
4k views

(Practical) Applications or RNN

I have been googling for a list of practical applications of Recurrent Neural Networks for some time, but did not find a reasonable reference list. Most of the things are about text generation which ...
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2answers
146 views

Android Recommendation App Algorithm

I have this project proposal entitled "Android Based Program Recommendation App". (This application is for those college students who wants to shift to other programs). The app will find a program ...
1
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1answer
63 views

Infering relative importance of features in driving a dependent variable

In an auctions website I maintain, auctions are listed most-recent-first. There are 20 auctions per page. A user can click next in the footer to view older auctions....
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0answers
79 views

Applying machine learning to dynamic complex systems (e.g. weather prediction)

Would it be correct to say that: Physics-based, domain specific models are more widely used and are more practical in (longer term) weather forecasts than pure machine learning approaches The reason ...
2
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0answers
62 views

Practical application for theoretical sampling process

Does the following sampling process model any particular real life scenario ? If so, could you point me to some relevant scientific papers. Consider an arbitrary probability distribution $\mathcal{D}$...
2
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0answers
1k views

Finding correlations in a large dataset

My main objective is to find correlations between process parameters and their impact (more specifically: the amount of wear measured) on specific sections of equipment used in the process. I've ...
2
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1answer
62 views

What statistic is appropriate to test if measured data points from untrusted sources are accurate enough?

Suppose I'm retrieving the price of asset from 3 different independent sources. What statistic can I use to test whether data points are close enough that I can be confident they're correct? I have ...
2
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0answers
182 views

Can the exponential distribution actually be used to model light bulbs lifetime?

In my textbook they use the lifetimes of lightbulbs (or other mechanical failures) as an example for an application of the exponential distribution. Can/is this actually done in real life? The reason ...
0
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1answer
443 views

Gamma distribution and applications

I'm looking for references to read about gamma distribution and applications in industry or in quality control. I had a look at statistical methods for reliability data (Meeker and Escobar). It has ...
11
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4answers
1k views

Good examples/books/resources to learn about applied machine learning (not just ML itself)

I've taken an ML course previously, but now that I am working with ML related projects at my job, I am struggling quite a bit to actually apply it. I'm sure the stuff I'm doing has been researched/...
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0answers
731 views

Calculating Conditional Probability in Real Data

I have my data in the form as: ...
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0answers
39 views

Statistical assessment of people skills via PCA

I would like to assess the skills of a lot of persons on a few main axis. Let me explain my proposal. For each skills axes, I propose several questions. Each question gives a score from 0 to 10. Once ...
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0answers
40 views

Bayesian inference and a logistic weight control problem

Currently I have a lot of problems to select which I want to work on. For some I already got ideas on how to solve it. However, I haven't dived deep into Bayesian inference so far but, from what I ...
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0answers
131 views

Hierarchical Bayesian Regression with an Indicator Variable, one group has all zeros for the IV Variable

I'm attempting to form a Bayesian Hierarchical Regression Model and one of my regressors is for an indicator variable. My hierarchy structure has separate group-level regressors related across-groups ...
4
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0answers
125 views

An example of delta method performing poorly

Q: Is there an example of the delta method being used in applied statistics where the sample size needed for a good approximation is practically unfeasible? I am looking for an example from applied ...
0
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1answer
38 views

How to compare the means of two populations that were subject to five treatments?

I have two populations that were each subject to 5 different treatments and I want to compare their means. This sounds like a great problem for multiple confidence intervals, but I don't want to make ...
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0answers
414 views

What is industrial statistics?

We have a course titled "Industrial Statistics". But I don't understand what is industrial statistics? What I have understood after searching some sites is only that Industrial statistics measure ...
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5answers
255 views

Which expansions and identities are useful to applied statisticians? [closed]

Simple mathematical relationships like $V(X) = E(X^2) - E(X)^2$, aside from being theoretical results, are useful because they allow analysts to do back-of-the-envelope calculations, restate results ...
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2answers
571 views

Successful applications of deep learning apart from image classification and NLP

Are there any successful applications of deep learning apart from image classification and NLP? I am aware of the winning approach of the Merck challenge on Kaggle only. However, I could not find more ...
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3answers
203 views

Good applied text for linear regression?

I have a pure math background and am now studying statistics. For additional study in my linear regression and time series class, my professor suggested a more applied text rather than a higher level ...
3
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0answers
88 views

Where is the uniform distribution with one parameter ($U(\theta, k \theta)$) useful for modelling?

I recently came across the distribution $U(\theta, k \theta)$ (where k is known) in the context of statistical theory (as a nice toy example for finding MLE and the likes). However, I was wondering ...
21
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8answers
6k views

Do you have recommendations for books to self-teach Applied Statistics at the graduate level?

I took several statistics courses in college but I found that my education was very theory driven. I was wondering if any of you had a text in Applied Statistics (at the graduate level) that you ...
3
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1answer
378 views

How to report results from analyses that did not converge

I am an analyst on a paper and, in writing up methods and results, noted that one of the proposed (logistic regression) models did not converge due to separation. I noted this in the results section ...
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0answers
55 views

How to determine whether a sales campaign is effective?

Assuming that I have an online ecommerce store. Recently, for one of the products, I want to run a sales campaign for the product for a period of time. The effectiveness is defined solely in terms of ...
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2answers
286 views

Regarding switch from pure mathematics to machine learning: opinions and information [closed]

I'm a first year postdoc in pure mathematics (geometry/topology with strong background in analysis) with undergraduate statistics and probability background (with also measure theoretic probability). ...
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2answers
945 views

How useful is the CLT in applications?

My lecturer just covered the Lindeberg-Lévy central limit theorem and the multivariate version, the Lindeberg-Feller CLT. I understood the basic concept and I can derive it, etc. But it would help my ...
8
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2answers
198 views

Approximating the relative quantities of coins in Canada

Would it be possible to approximate accurately the relative quantities of Loonies, Twoonies, quarters, dimes, nickles (and perhaps the discontinued penny) in circulation from simply obtaining a large ...
4
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0answers
104 views

Coverage rates of confidence intervals in reality

One proves mathematically that if assumptions of a model are satisfied, then the coverage rate of a $100p\%$ confidence interval is $100p\%$. But then statistics gets applied to the world, where ...
4
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2answers
562 views

Compare different statistical models that forecast the same result

Background: I'm assessing the future condition of a product where we have 18,000 units in the inventory. The product can be assessed as Poor, Fair, Good, or Excellent, based on a ...
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3answers
3k views

Applications of Data Mining in economics [closed]

I am looking for a thesis topic for my Applied Economics degree where I can use Data Mining/Machine Learning for some kind of prediction. Do you guys have any good ideas about what I could do? My ...
3
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0answers
102 views

Application to a real life problem: identifying outliers in univariate time series data [duplicate]

I have a rather simple problem that I'm having trouble deciding an answer upon. As a student studying Statistics I'm very familiar with terminology and theory but I suppose I'm stumped on my first ...
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2answers
247 views

Is classifying documents according to their topic useful for any application? [closed]

Suppose that we have digitized document images; we pass this documents through OCR and we get text text documents, that we classify according to their topics in different classes such as payroll, ...