0
votes
0answers
3 views

Unique matching for quantiles from one half of the density to a subset of the other half?

I am interested in finding the median absolute distance to quantiles. So, for $Q_\alpha$ the $0 \le \alpha \le 1$ quantile, I would like to find $Q_\gamma^*$ such that $Q_\gamma^*$ satisfies ...
0
votes
0answers
4 views

Statistical test: Does actual time series data deviate from forecast?

I have made a prediction of future sales based on an ARIMA model. The ARIMA model is based on past data, during which there has been no marketing activity. During the period predicted by ARIMA, I will ...
0
votes
0answers
3 views

about correlation between 5 likert scale with 7 likert scale question

i want to analyze the correlation between overall attitudes with purchase intention. both is continuous variables. Overall attitude using 7-liker scale while purchase intention 5 liker scale. So, can ...
0
votes
0answers
2 views

Honglak Lee MNIST CDBN filter shapes?

This question is based on Honglak Lee's paper "Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations". In chapter "4.3 Handwritten digit ...
0
votes
0answers
4 views

Hypothesis Testing with unidentified standard deviation [on hold]

A survey found that the average communication of male is 35 and the average communication of female is 65. The data obtained from 100 students from 2 samples and that the standard deviation were _ and ...
0
votes
0answers
5 views

Good way to categorize count data?

I want to use some count data to train a classifier. The count data range from 0 to 400 something. There are a bunch of smaller counts (0's and 1's). I wonder what would be a good way to categorize it ...
0
votes
0answers
6 views

Finding a percentile of joint, correlated distributions [on hold]

To give an economics example, lets say I have a distribution of House Price Indices (HPI) and Unemployment Rates - both non-normal and correlated to each other. I want to know how to calculate the ...
0
votes
0answers
8 views

When to use bootstapping in regression analyses?

When I run a regression analysis in SPSS, one of my predictor variables just fails to reach significance, p = .06. When I apply bootstrapping, the output tells me the predictor has a significant ...
0
votes
0answers
5 views

Example of two *correlated* normal variables whose sum is not normal

I am aware of some nice examples of pairs of correlated random variables which are marginally normal but not jointly normal. See this answer by Dilip Sarwate, and this one by Cardinal. I am also ...
0
votes
0answers
4 views

Finding the mode using grouping and analysis method [on hold]

class frequency 10-20 1 20-30 8 30-40 10 40-50 ...
0
votes
0answers
7 views

A/B testing zero inflated data

I am trying to conduct an A/B(/C) test to compare the performance of 3 different website pages but I'm facing issues regarding zero inflated data. I have data for each page regarding ...
0
votes
0answers
8 views

Is Wilcoxon test still valid if there is some shared information?

I have $N$ samples from a population, and to each sample I apply both method A and method B, recording the time each takes to run ($T_A$ and $T_B$, say) I then define a new pseudo-measurement for ...
3
votes
0answers
35 views

How to best approach ANOVA with multiple response variables that might be correlated and Bonferroni Correction

I need some help verifying a simple analysis. I have completed a simple two factor experiment of more or less equal sample sizes. Let's assume for the case of this question that the sample sizes are ...
0
votes
0answers
12 views

Do I use ANOVA or MANOVA and why

I have a project for my thesis with both between groups subjects and within groups subjects. The independent variable is the program I am running and the dependent variable consists of 6 different ...
0
votes
0answers
22 views

Requesting Advice on Coming up with my first ever research question [on hold]

I am new to this forum and apologize if this is posted in the wrong sub group. This past september I enrolled in advanced econometrics (a fourth year course at my college), and am now working on my ...
0
votes
0answers
4 views

Is calculating r2 appropriate for cox mixed effect models?

I'm looking at the effects of inbreeding on survival in a captive animal species. I'm trying to clearly distinguish the effects of inbreeding from other possible random genetic factors on survival. ...
0
votes
0answers
7 views

Bayesian calculation of parameter multiplying normal

I am interested in a model like: $y_{i} = \sum_{k\in K}{\beta_{k} z_{k}}$, with $z_{k} \tilde{} N(\mu_{k}, \sigma_{k})$. where $\beta \equiv(\beta_{k})_{k\in K}$ is not known, but all else is. I ...
1
vote
0answers
9 views

Probability that the sample covariance matrix of a m.v. Gaussian exceeds a threshold

Let $\Sigma$ be a covariance matrix of $n$ data points in $\mathbb{R}^p$. So $\Sigma$ is $p\times p$. Suppose that the $n$ points are drawn from the distribution ...
0
votes
0answers
5 views

Compare continuous variable between groups

...
0
votes
0answers
5 views

Pymc: Does this model call for Index, and if so, how would I use it?

I'm working on speeding up the mcmc for a hierarchical pymc model that is taking .2 seconds per iteration. It's the second model from this paper, modeling a soccer league using team-specific attack ...
1
vote
1answer
20 views

Does Deep network (e.g. # of hidden layer=2) always better than shallow network (i.e. # of hidden layer=1)?

I attempted to build a deep network (e.g. deep autoencoder) for some object classification, my result showed that the deep networks is worst than shallow network. However, from what I have read from ...
-1
votes
0answers
9 views

Help in deriving unbiased estimator for a measure

There is a metric $H$ defined as = $\sum_{i=1}^{N} \min |u_i - u_j| * ..*|u_{i+d-1} - u_{j+d-1}|$ where $u$ is a multi dimensional vector of dimension $d$ and $u_i,u_j$ $\in \mathcal{R}^d$ are the ...
1
vote
0answers
5 views

AIS data modelling! [on hold]

I am interested in exhaust emission modelling with the use data received from vessels equipped with the Automatic Identification System (AIS). Are there any resources developed so far in relation to ...
0
votes
0answers
2 views

R: coherency matrix returned by spectrum is always 1

I am trying to understand what the coh value obtained from a call to spectrum means. I created a random 20x4 matrix and called spectrum on it. The ...
0
votes
1answer
18 views

How to analyze relationship between data pairs

Please change the title if it's not accurate, I might be lacking terminology. I have two variables (x,y) which are directly correlated by pair. For example I have sampled 50 trees in my study area ...
0
votes
0answers
10 views

Regression using a priori knowledge

I am sorry if the title (and probably the question) is not very clear but I have a regression problem which might be a bit over my head if I want to do it well. I am only interested in getting some ...
0
votes
1answer
20 views

Do odds increase over time based on brute force?

Attempting to understanding a statistical concept which I'm positive is basic stats, but that I currently don't understand. Say that there's a one in ten million likelihood of an outcome happening ...
0
votes
0answers
17 views

Reading in data set [on hold]

I am trying to read in this data set using R http://statweb.stanford.edu/~tibs/ElemStatLearn/datasets/nci.data I've tried several different things. Can anyone help me out?
0
votes
0answers
24 views

Independence of functions of Random variables [on hold]

I am working with two RV's X and Y X is distributed normally with mean=x and variance=x^2 Y is distributed uniform (0,1) I know this... ...
0
votes
2answers
28 views

Condition number of data matrix and stability of OLS estimates

I have a multivariate regression model $Y=X\beta ' + \epsilon$. The variables in the $X$ matrix have very different scales and hence the condition number of $X'X$ is huge (order of trillions). I ...
0
votes
1answer
20 views

How to solve nonlinear optimization problem in R

Suppose I have a set of data and reason to believe the following relation holds y ~ a0 + a1*x1 + a2*x2 + a3*log(x3) How can I use R to solve for the coefficients {a0, ... a3}, supposing I want to ...
0
votes
0answers
20 views

Pointwise probability limit

Suppose we have a joint distribution of a random sample $(y_n,x_n)\in R^2$: $$ y_n = \beta_0 x_n + \epsilon_n $$ and the estimator $$ \hat \beta = argmin_\beta \frac{1}{N} \sum_{n=1}^N(y_n - \beta ...
0
votes
1answer
10 views

Predictive analysis based on history

Let me first say that I am a CS person and my knowledge about statistics is quite basic. I am trying to see what predictive analysis to use for a problem I am trying to solve. I will try to make my ...
0
votes
0answers
5 views

Test(s) For Comparing qPCR results / ΔΔCт values

To be clear, I'm talking about real-time polmerase chain reaction (qPCR), not Principle Component Regression. Though from a company selling qPCR reagents, here is a good walk-through of the ...
0
votes
0answers
12 views

Weights in Weighted Least Squares Regression

Let's suppose I have the following linear model: $R = \beta * X + \epsilon$ I have a cross-sectional time-series sample of $n$ stocks, at $T$ periods of time. Not all stocks necessarily have data ...
0
votes
0answers
3 views

Survey analysis: relationship between one discrete outcome variable and multiple categorical and ordered categorical variables

I have a data set that is the result of a survey. The survey asks the respondents to name 5 people in their community whom they turn to for advice. It then goes to these 5 people and asks the same. I ...
1
vote
2answers
21 views

Predict Seasonal Variations

I am developing an application related to pharmaceutical industry. Certain items are sold in significantly higher quantities during specific periods of the year. For example, here in my country, ...
0
votes
0answers
16 views

Regarding Nested Anova in R

I would just like to double check if my approach to the following analysis was correct. Based on my design I have two treatments (A and B) with treatment A being comprised of 5 populations and B of 3 ...
0
votes
0answers
5 views

Unreliable and uncertainty of RF prediction results (multiple runs) for my data set

Currently, I meet such questions when building Random Forest model using my data set. My full data set: X_lab: 839 * 469 and y_lab: 839 * 1 which is for all labelled data and X_unl: 20346 * 469 which ...
1
vote
0answers
7 views

Assessing similarity of two data points in a data set

I'm looking at count data points, trying to take a pairwise matrix of the count data and assess similarity of data points. I've tried to do this by mean subtracting each point, and consequently ...
0
votes
0answers
5 views

Scaling Specificity to larger data set

Suppose I have the following 2x2 table ...
0
votes
0answers
7 views

poor Fit Indices

i am facing problem in getting the good fit indices. my sample size is 236, i have 4 latent variables(A:3component each:4, B:1 component 4item, C:1 component 4 item, D: 3 component each 3-4) so 31 ...
0
votes
0answers
7 views

Practical problem computing de k-nearest neighbors in CF?

I’m trying to apply de knn to a very dynamic system where users (like/dislike) items very frequently and new items became available all the time. My question is how often should the algorithm ...
0
votes
0answers
16 views

Show about an arbitrary measurable function that has density

This is an exercise that I have to finish and I hope you to be patient maybe I violated the rules since that it is not always possible to start solution of an exercise. Maybe can be very useful only ...
1
vote
0answers
12 views

“Frequency” value for seconds/minutes intervals data in R

I'm using R(3.1.1), and ARIMA models for forecasting. I would like to know what should be the "frequency" parameter, which is assigned in the ts() function, if im ...
0
votes
0answers
3 views

extract data.frame() from group_by() [migrated]

I'd like extract a data.frame produce by group_by() function of the dplyr package on R. My original data looks like this: ...
0
votes
2answers
28 views

Ordinal logistic regression with non-negative independent variables

If I understand things correctly, we want to look at $log(p/(1-p))$ since we want the independent variables to be able to take on any real value. But what if you know your independents can never be ...
1
vote
0answers
5 views

GLMER: Conflicting results from p values and bootstrapped confidence intervals

Please don’t be shocked by the amount of code in this post, this problem is (hopefully) not as complex as it seems. This dataset ...
1
vote
0answers
18 views

Analysis of a longitudinal study where interventions are received at different time points

I have a data set of university students. The university has 8 different assisting programs, mostly like scholarships, for needy students to help them concentrate on their studies. Since it costs a ...
0
votes
0answers
15 views

Examining the Win Probability of a Particular Play-style in a Set of Tournaments

Something I've been playing around with in my head, which I'd like some advice on. Assume you have a game with four different "play-styles" - this can be a particular strategy, different team ...

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