0
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0answers
2 views

What is the subject of statistics called if the subject is used to studying if the statistic formulated fit the actual data?

What is the subject of statistics called if the subject is used to studying if the statistic formulated fit the actual data?
0
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0answers
2 views

How do I conduct model validation with glm models that have proportional response variable?

I would like to determine which environmental factors influence turtle nest survival. I ranked glm models with AIC using a step-wise procedure. The response variable is the proportion of eggs that ...
0
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0answers
4 views

What is the minimum number of time periods for Granger causality test?

What is the minimum number of time periods required to reliably conduct a Granger causality test? I have a time series with only six data points, and I would like to know if it is possible to conduct ...
0
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0answers
7 views

Error Output - Wrong model type for regression

I am trying to constructs an Learning Vector Quantization (LVQ) model. ...
0
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0answers
11 views

False Positives, False negatives, true positives, true negatives

So I'm just starting to learn some proper statistics and recently learned about FP, FN, TP, TN. I'm a little confused as to how that works. Firstly lets say I have a way to predict whether a ...
0
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0answers
5 views

How do Conditional Inference Trees do binary classification?

I am trying to learn about Conditional Inference Trees, and have been doing some very simple comparisons of the ctree() and rpart() functions in R. I have looked at the documentation for ctree(), but ...
0
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0answers
3 views

Hierarchy predictive top down approach

I'm having a problem with using a hierarchical top down forecasting approach. According to my understanding, when I split an aggregated value on the levels below it, I have to know the percentages ...
1
vote
0answers
18 views

4 cases of Maximum Likelihood Estimation of Gaussian distribution parameters

Let $x_1,x_2,...,x_n$ some normally distributed observations. So $\vec{x}=\begin{bmatrix}x_1 & x_2 & ... & x_n\end{bmatrix}^{T}$ In the context of my research I am trying to estimate ...
0
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0answers
20 views

How is bootstrapping used for machine learning?

How does one use bootstrapping in a machine learning context? My typical data analysis pipeline is Split data into 10 folds Train classifier with 9 folds Test classifier with remaining fold Repeat ...
0
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0answers
9 views

Difference between latent and auxiliary variables

In a Gaussian mixture model, the labels assigned to the data points are often called auxiliary variables, whereas the cluster means and covariances are called latent variables. Since both types of ...
0
votes
0answers
18 views

Get important features of n samples

Suppose I have a data frame of [n_samples, m_features] with the corresponding variances of the features [n_features]. The values in my data is between 0 and 1 so the question is: Is there any way to ...
0
votes
0answers
4 views

cross correlation of partially correlated signals

I measure $x(t)$ and $y(t)$, two stationary random signals, and I want to find out if, and how much, they are correlated. What I'm doing is to plot the cross correlation ...
0
votes
1answer
9 views

transitive property in statistical comparisons

I want to know if the exposure to a given dose of a toxic chemical alters the concentration of a given substance in blood in my animals. I make this super general, bear with me, because I think this ...
1
vote
0answers
7 views

Distance between Vectors with Confidence Intervals

I have a machine learning application where I extract numerical features $a_{i1}, a_{i2}, \dots, a_{ik}$ for each object $a_i$ to study. Objects are then compared using standard euclidean distance. ...
0
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0answers
22 views

Is polynomial regression restricted to linear models?

I'm wondering if polynomial regression extends to generalized linear models, so one could fit a model with a binomial, Poisson, gamma or other distributions? My question stems from a paper ...
0
votes
1answer
11 views

Is NN overfitting if after a while validation error becomes constant?

Is neural network considered to be overfitting if after N iterations validation error stops improving and stays more or less constant, whilst training error keeps decreasing?
0
votes
0answers
4 views

Results from logit model using BIOGEME unexpected

I am using BIOGEME to estimate the discrete choice model (choice is made among four alternative routes). I am having hard time with modeling using BIOGEME, and expecting help on this. I have dataset ...
0
votes
0answers
16 views

How to analyze multivariable data (Normality not assumed)?

I have a table which looks like the table below. As you can see, I have two factors in the table. One factor which shows different interaction techniques and another shows different position of ...
1
vote
0answers
11 views

How to determine if a single variable is significantly different than 0?

I am working with data that has been reduced to values falling between -1 and 1. The formula is, "(number in tube 1- number in tube 2)/ (the sum of numbers in both tubes). Example: Tube 1 = 5 worms, ...
0
votes
1answer
11 views

R: Coping with bad model fit convergence during bootstrap

I'm running into trouble while checking the robustness of a GLM using the bootstrap procedures in R. Basically I want to check whether the estimated coefficient estimates of an existing GLM that I've ...
0
votes
0answers
7 views

How can I do full Griffing diallel in Genstat over locations [on hold]

Genstat 17 is now doing Griffings diallel. However, how can I do the griffings diallel over locations. Thank you
0
votes
0answers
7 views

ARMA-GARCH model selection / fit evaluation

I'm trying to fit an ARMA-GARCH model to a data set of FTSE 100 log returns. However, I'm not able to find a well-fitting model. Below are the ACF and PACF of the log return series and the ACF of the ...
0
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0answers
4 views

Dictionary for common technical terms (embedded systems) [on hold]

I am looking for a dictionary for microcontroller and embedded systems for the purpose of text mining and natural language processing in technical documents. In the optimal case it would be structured ...
4
votes
3answers
40 views

$\chi^2$ tabulated value

I noticed that the critical $\chi^2$ value increases as the degrees of freedom increase in a $\chi^2$ table. Why is that?
0
votes
0answers
4 views

Collapse duplicate rows by median value in R [migrated]

I have a date frame with two columns. I would like to remove rows where there are duplicate entries in the first column. however I would like to select a specific row to remain based on the value of ...
2
votes
0answers
7 views

How to select a subset of variables from a large dimensional dataset for Gaussian Process Regression?

I am currently working on GPR(gaussian process regression) on a large dimensional input dataset(around 300). I am pretty sure that some of these variables have weak correlation with target output. If ...
1
vote
0answers
8 views

ANOVA test mean against predefined constant

How can I calculate the p-value (statistical significance) if my hypothesis asks for specific mean values? I suppose this can be somehow calculated using ANOVA, but I could only find examples where ...
1
vote
0answers
10 views

Continuous Independence Test using only sufficient statistics

does anybody know a way to test wether two continuous variables X and Y are independent only using their sufficient statistics? The work I have seen so far was assuming that N values of variable X and ...
0
votes
0answers
9 views

Univariate Linear regression [on hold]

I have only one predicator variable but I have it in 2 different times (week 18 and week 32) in a categorical form ( no, yes occasionally, yes mostly), and my outcome is a numerical variable. is it ...
0
votes
1answer
31 views

Statistical Significance

Our teacher told us If a test is rejected at 1% level of significance , then it will be rejected at 5% , 10% level of significance . I don't understand how does the rejection at 1% level of ...
1
vote
0answers
3 views

Multiple response question with copied observations

For an analysis with the answers of a multiple response question submitted by respondents as the dependent variable, I was thinking of using duplicate observations. So e.g. if a respondent submitted ...
1
vote
0answers
6 views

How can weighted K-NN decrease accuracy?

I have heard that weighted K-NN improves the accuracy.But in my case, the accuracy decreases.Can anyone suggest why there is a decrease in accuracy?
0
votes
0answers
8 views

How to get LDA projection matrix in Matlab

I didn't find anything about projection matrix in fitcdiscr help page. Is it possible to extract projection matrix from a model? If not, do you know some matlab LDA implementation that outputs this ...
0
votes
0answers
3 views

Initialization af biases in CNN

I just found the following quote in ImageNet Classification with Deep Convolutional Neural Networks, one of the most important papers within deep learning. It states that some neuron biases should be ...
1
vote
1answer
13 views

Combining confidence intervals from several regression point estimates

I have 13 point predictions from 13 independent linear regressions, each prediction with a 95% confidence interval. I want to sum the 13 predictions and calculate the 95%CI for the summed value. ...
0
votes
0answers
11 views

Properly calculate mean and SE for meta-analysis

I want to perform a meta-analysis, for which I have data from 30 different experiments, each of them with two different treatments. I have three different types experiments based on how the data are ...
0
votes
1answer
15 views

Confirming calculations with simulations?

This question may be a little abstract, but I would like to understand how to develop a mentality towards performing statistical simulations. For example: If I have a normal distribution, and I ...
1
vote
0answers
8 views

Adding numbers with asymmetric uncertainties

I need to add a series of numbers with asymmetric standard deviations, such as $$5_{-2}^{+1} \,+ \,3_{-3}^{+1}.$$ Although I know it's common to add the upper errors ($\sigma_{\scriptsize{+}}$) and ...
0
votes
0answers
24 views

Is it possible (and if yes how) to retain a sparse matrix after normalization?

I was wondering whether given a sparse matrix it is possible to retain a sparse matrix after removing certain global effects. Let me demonstrate the following: Given a data set $X$ with dimensions $m ...
0
votes
1answer
14 views

How do I measure the significance of a trend [on hold]

I have a 5 year dataset by month, so I have 69 discrete measures of the same value. That value shows an increasing trend, but I'm unsure how to measure it's significance. My team would also like a p ...
1
vote
0answers
4 views

how can I do a 3-way repeated measures ANOVA on filtered data?

I have a sample of participants tested on a two-day memory task where they learn the task on day 1, then are tested on day 2. They are Parkinson's disease patients and are tested on or off their ...
-1
votes
0answers
9 views

use pca method for dementionality reduction in matlab for big data [on hold]

I must use pca in matlab for dementionality reduction for a big data. and I want that show pcs are from what variables. please help me
0
votes
0answers
11 views

Data importation, manipulation & calulation on list of pairs [migrated]

I have a 'complex' problem to face: 1) I have to import in R a text file ('from_soft') which is shaped like that (output from an external software) : ...
0
votes
0answers
15 views

What information to include when reporting the results of simple linear regression in a scientific publication? [duplicate]

I am writing a scientific journal paper. In the paper, I describe one simple linear regression analysis (1 dependent variable and 1 independent variable). At the moment, I have included a scatter ...
0
votes
0answers
10 views

Looking for a method to statistically compare 2 3D structures

G’day Statistics Forum I’m having a little bit of trouble with the statistical analysis segment of my honors thesis proposal and was hoping one of you helpful folk might be able to offer some insight. ...
0
votes
0answers
16 views

Which test should I use for hypothesis testing?

I have 2 sets of samples that I want to test if they are different or not. These 2 sets are not paired, but they are "related" (explained below). The sizes of the sets are not equal. Which test should ...
0
votes
0answers
32 views

What does the following ACF curve mean ? (Picture attached)

I was checking for seasonality and other dependencies and this is the curve I get . There's no apparent seasonality....but what exctly does the falling slope mean? Any help would be appreciated. ...
0
votes
0answers
4 views

Weighting observed data with standard deviation of measurement in Bayesian modeling

I am building a Bayesian model to fit observed MSD of cell particles motion. I am still not sure about the exact model but it will probably look like this : $$ MSD(\tau) = <\epsilon^2> + ...

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