1
vote
0answers
17 views

Identification of peer/neighborhood effects in a multilevel framework

My question concerns estimation of “peer effects“ or “neighborhood effects” in a multilevel framework. The idea of such an effect is that the behavior of an individual (on level-1) is influenced by ...
0
votes
1answer
19 views

Factor analysis results

I carried out factor analysis on 31 5 likert-scale questions which represent my 6 constructs. The results showed 6 factors, consistent with my hypothesis but the analysis grouped my questions ...
0
votes
0answers
22 views

which test should be used to detect the effect of one variable on another?

I have conducted a research on four independent groups of students; one experimental and one control group at two levels. The design of the study was like a pre-test and post-test. I want to detect ...
0
votes
1answer
29 views

Reproducing simple t-test result with ANOVA

We know that a t-test is just a special case of ANOVA, so I tried to reproduce the result of the following t-test with aov() or ...
0
votes
0answers
12 views

Imputation model: Pooled model is insignificant. How to interpret?

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
1
vote
0answers
22 views

Point Estimate of normally distributed threshold parameter with unknown mean and variance

I'm new to Bayesian analysis an applied what I learned in John Kruschke's book to simplified versions of a model I previously fitted with non-Bayesian methods. For those simplified versions, even ...
0
votes
0answers
28 views

Can I normalize Ordinal Data

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
0
votes
1answer
20 views

Composition of bankruptcy probability and firm size

I'm using neural network for a binary classification problem of bankruptcy prediction using patternnet function in MATLAB, so i ...
1
vote
0answers
24 views

Confidence interval for a regression parameter via prediction

Consider a simple Poisson-regression - GLM - model. There $\exp\left(\beta\right)$s are used as Incidence Rate Ratios (IRR), but their calculation is sometimes not completely straightforward, for ...
0
votes
0answers
15 views

How to equalize lower accuracy on larger sample sets?

I have a collection of image samples that I want to OCR. I also have the ground truth of the text on these images. Now I OCR them and eg. 10 of 100 samples are wrong. So I got an accuracy of 90%. ...
0
votes
0answers
10 views

GLMM - time or day/date as a random factor

I have searched for many days trying to find the answer to this question, and am still not 100% sure I am happy with my conclusion. I am interested in looking at the effects of environmental variables ...
0
votes
1answer
19 views

How to handle variables with low correlation but high loadings in factor analysis

I am doing factor analysis to check the factorial validity of a 14-items scale with four subscales. Two items have low (less than 0.3) correlations with other items in the subscale to which they ...
0
votes
0answers
21 views

Suggest a statistical method for analysis [on hold]

I have to analyse the data for my dissertation work. Title of my dissertation work is "Estimation of influence of temperature and humidity on milk yield of dairy cattle and its quality parameters". ...
1
vote
0answers
26 views

How to test for a home bias in a data set?

I'm trying to think how I can test a data set I have, for transactions between buyers and sellers, for a home bias. My hypothesis is that buyers would rather buy from a merchant from their home ...
11
votes
4answers
566 views

Good form to remove outliers?

I'm working on statistics for software builds. I have data for each build on pass/fail and elapsed time and we generate ~200 of these/week. The success rate is easy to aggregate, I can say that 45% ...
0
votes
1answer
18 views

Chi square test of association

I wanted to study the distribution of BMI by age. So I randomly made age groups and did a chi square test. Is this appropriate?
-1
votes
0answers
10 views

Should I use ordinal regression to anlyze the likert data? [on hold]

I have got 150 respondents for my survey which is to ask fund managers who manage different types of fund, about thier opinions on some finance theories, with 5-point Likert statements. What tests ...
2
votes
1answer
29 views

Run Many Small or a Few Big Simulations to Estimate the Mean?

I was just running some simulations on tossing a coin given certain conditions, to test out some ideas I had. I was trying to find the ratio $\frac{\mathtt{successful\ tosses}}{\mathtt{total\ ...
1
vote
1answer
25 views

Evaluating performance of machine learning models

I'm trying to predict when a location has enough wind to go sailing. I've built several models that look for correlations between different weather conditions and whether it ends up being windy X ...
0
votes
1answer
17 views

how to check for robustness for categorical variables in STATA

I performed logit regression on my variables. I have 10 variables, all are categorical varibales. After performing logit, I want to check for robustness. How do I got about it in STATA
4
votes
2answers
144 views

Best way to represent data

What is the best way to represent the following data graphically? Can I use a histogram ...
0
votes
1answer
14 views

What test(s) can I use to compare 4 percentages for both pre- and post-treatment conditions?

Have 4 groups of results from 4 different treatments. Want to compare pre- and post treatment within groups and between groups
0
votes
1answer
20 views

Calculating Average Waiting Time

I am trying to calculate average wait time for one of the projects that I am working on. The way the project works is that there are pathways that students follow and each pathway has several steps. ...
1
vote
0answers
14 views

Identifiability in generalized linear random effect model?

Suppose I observe binary $Y_{ij}$ for $i = 1, ..., N$ and $j = 1, ..., J$ and I want to model $$\Pr(Y_{ij} = 1 \mid \lambda_{i}) = \Phi(\lambda_{ij}), \qquad [Y_{ij} \perp Y_{ij'} \mid \lambda_i]$$ ...
0
votes
0answers
8 views

Unable to plot partialautocorrelation graph

For a time series I wanted to plot separately the partial auto correlation. Below is the graph for MA model that I want: This shows plot of two time series of two time series - one is a sequence ...
0
votes
0answers
26 views

Is it logical to stand on the chance-line (50-50 %) when we don't know a-priori probabilities?

Let we have two hypotheses $H_0$ and $H_1$ and we don't know their a-priori probabilities. If we wish to calculate the average probability of error, does it makes sense to assume 50-50 % chance of ...
1
vote
1answer
29 views

Comparing Cox Proportional Hazards Models (variable selection)

I am using a cox proportional hazards model to run a survival analysis in r on a number of non-nested, distinct covariates such as Age, Blood Type, Cancer, etc: ...
0
votes
1answer
35 views

Regressing, analysing data with points rather than polynomial?

I am looking into making a regression of a bunch of data that is contained on some range of real numbers. In my case, x is between 0 and 1 and y is between 0 and 10. If I have 150 data points on this ...
0
votes
1answer
22 views

Comparing mclust() and k-means centroids

I have some code that looks for clusters in x,y data. To check the number of clusters I use, I want to get the BIC. This is not possible (easily) using kmeans(), ...
0
votes
1answer
17 views

How are these negative values understood?

I can't find literature to understand this table. What I know doing my research is that an effect size should be between 0 and 1. when 0.2 is slow, 0,5 medium and 0.8 and higher , high. But In an ...
0
votes
0answers
24 views

bayesian panel vector autoregression bugs / stan code? [on hold]

Does anyone have or know of a nice clean example of panel VAR (vector autoregressive model) code that I can use to help me get started in a bayesian direction? A panel var is for estimating auto / ...
5
votes
0answers
27 views

Hidden Markov Models with multiple emissions per state

I want to use Hidden Markov Models for an unsupervised sequence tagging problem. Due to the peculiarities of my application domain (recognition of dialogue acts in conversations), I would like to use ...
3
votes
2answers
39 views

Posterior distribution of proportional difference of two binomial variables

Can somebody point me in the right direction for a treatment of the following problem? I imagine this should be a fairly common problem in medical statistics... Given two binomial random variables ...
0
votes
1answer
16 views

Instance weighing in libsvm/liblinear

I often use the instance weights with Libsvm for classification problems. http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances Does anyone know the details of the algorithm that ...
0
votes
0answers
8 views

Using Mantel to explore relationship between geographic distance and a multivariate character

I'm working with bird songs. A song is composed of many vocal parameters [highest frequency (Hz), lower frequency(Hz), bandwidth(Hz), duration (s), number of notes, and son on....] I'm interested in ...
0
votes
1answer
28 views

Transforming time series to compensate for change in variance

I have a time series (shown below) that comes from a sensor whose calibration was changed in the middle of last year. As part of this change, the sensor's reading of the variance (or volatility) of ...
3
votes
1answer
40 views

Weighted principal components analysis

After some searching, I find very little on the incorporation of observation weights/measurement errors into principal components analysis. What I do find tends to rely on iterative approaches to ...
0
votes
0answers
13 views

log-likelihood and negative binomial zero inflated distribution in glmmADMB

Anyone know how glmmADMB calculates log-likelihood and negative binomial zero inflated distribution? I compared a model using glmmADMB and pscl and the diference in AIC and parameters are huge. I ...
0
votes
0answers
10 views

Defining the Stochastic and Deterministic variables with pymc3

I am trying to use write my own stochastic and deterministic variables with pymc3, but old ...
0
votes
0answers
21 views

Model assumptions and diagnostics for proportional hazard regression model with frailty in R

I am wondering are there any assumptions that must be met in the proportional hazard regression model with frailty? I remember that in regular proportional hazard model without frailty all variables ...
0
votes
0answers
42 views

Determining Relative Weights

I am looking for some recommendations and more specifics about how to do the following: Objective: To determine the weights of a number of stock valuation metrics. I am looking at doing this across ...
0
votes
1answer
28 views

How can I evaluate my model when the the testing data are too few and the generated results don't match testing data

I have a bioinformatic data set includes a very large negative examples (let's say 30000 examples) and just a few positive examples (let's say 150 positive examples). Since I need to feed an enough ...
0
votes
0answers
15 views

Running an AR(4) model based on engle-granger cointegration results

I have the below results based on the engle-granger test for cointegration, where the dependent and independent variables themselves are not stationary. The results show that null (process is not ...
5
votes
2answers
90 views

Detecting whether website visits are automated

I am trying to detect automated visits to a website. A typical data set for an automated client is of the form: ...
1
vote
0answers
26 views

Has anyone publicly shared an implementation of RUSBoost in R?

There's no package available on CRAN, so I was hoping someone in the community had written their own function/package. I see it's been done in MATLAB, so I may just have to start with that and write ...
0
votes
0answers
13 views

Create list from for loop if value in sequence is greater than .5 [migrated]

Trying to create a list of significant variables for a regression model. I have 82 variables, so in order to only include the significant ones, I created a list of the correlations and sorted them. I ...
1
vote
1answer
32 views

Understanding scipy Kolmogorov-Smirnov test [duplicate]

I'm trying to understand the Kolmogorov-Smirnov test using a very simple example. I generate a set of random, uniform values between 0 and 1.0. I then test that these values are from a uniform ...
0
votes
0answers
16 views

Hierarchical Clustering pvclust vs. hclust got different result

I am performing the hierarchical clustering analysis on a dataset of 25 viral populations using 3 viral components (variables) to construct a dendrogram with average method and correlation distance ...
2
votes
1answer
25 views

Is it acceptable to not include high-order interactions (3-way and above) in the model when they are not by themselves of interest?

Is it acceptable to not include high-order interactions (3-way and above) in the model when they are not of interest and not part of the hypothesis that is being tested? NB. I am not talking about ...
1
vote
0answers
19 views

classification algorithms that return confidences?

Given a machine learning model built on top of scikit-learn, how can I classify new instances but then choose only those with the highest confidence? How do we define confidence in machine learning ...

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