0
votes
0answers
3 views

Terminology and handling of log-normal mixture distributions

The definition of a log-normal distribution of a random variable is based on normality of its logarithm. I'm curious whether there exist a specific term for cases, where log-transformed data does not ...
1
vote
0answers
3 views

why is the numerator of the correlation coefficet the SD of X multplied by SD of Y?

I dont quite understand what is going on in the correlation coefficient fromula. In the numerator we have teh covariance, and in the numertor we have the standard deviation of variable x multiplied by ...
0
votes
0answers
7 views

Inferring prior distribution

Suppose that we take a sample ($X_1, X_2, ... X_n$) from a distribution where we assume that $X_i $~$ Bin(n_i, p_i)$ and $n_i$ is known for every $i$. We also assume that $p_i$'s are independent and ...
1
vote
0answers
5 views

Basic conditional sampling question

Let's say that I have a method of sampling from $P(X, \theta \mid Y)$. It seems intuitive that if I drew samples of $(X, \theta)$ and then simply dropped the $\theta$s, this is equivalent to drawing ...
0
votes
0answers
4 views

test for structural break in relationship

I'm currently trying to detect if there is a structural break in the relationship between oil prices and gdp growth rate. Normally, I have to run a linear regression from 1970q1 to 2013q4: $\gdpr_t = ...
0
votes
1answer
7 views

Please help with expectation problem

I have seen this statement in a lecture note : $E[(Y-f(X))^2|X]=Var[Y|X]+E^2[(Y-f(X)|X]]$ If $Z,X$ are random variables, then shouldn't be $Var[Z|X]=E[Z^2|X]-E^2[Z|X]$?In which case shouldn't the ...
0
votes
0answers
7 views

Distribution estimate from a sample or just a probability theory task

Here is the task: I have a sample of replies to my e-mail from my mail box. A sample is taken over a period of 90 days, 1000 e-mails and replies if any. (We only consider a pair of {my original ...
0
votes
0answers
4 views

Bootstrapping with random effects in SPSS

I'd like to use bootstrapping in my two-way ANOVA containing two fixed and one random factor. Why is the bootstrapping method not available (greyed out) for models containing a random factor? Thanks! ...
0
votes
1answer
10 views

cross tabulation of two variables with resulting average and SD

I am beginner of R software. I am looking for two variables and result cross tabulated but not in the form of frequencies. Could I get help on how to get result as average and standard deviation ...
0
votes
0answers
13 views

Random intercepts as response variables: Is there a name for this method?

I'm trying to find the name of this method (and ultimately a reference). The approach is as follows: 1) Fit a mixed-effect model with a random intercept 2) Use the estimated random intercepts as ...
0
votes
0answers
13 views

GLMNET in R: Difference between DFMAX and PMAX

In glmnet in R, what is the difference between dfmax and pmax when creating a model with ...
0
votes
1answer
4 views

How to determine the best split threshold (split point) in Hoeffding tree (for continuous attributes)?

In Hoeffding tree (that handles continuous attributes), Hoeffding inequity suggests the minimum amount of instance to be looked at before the best split attribute can be determined with confidence. ...
-6
votes
0answers
18 views

How to forecasting university data? [on hold]

Could anyone please provide guidance on forecasting university related data?
0
votes
0answers
10 views

Describing the association between dependent and independent variables [duplicate]

I’m somewhat confused about the (wording of the) interpretation the coefficient (b1) of a classic OLS regression: Y = b0 + b1*X + e In the literature, the two interpretations: b1 reflects the ...
2
votes
0answers
13 views

Permutation for large sample sizes

I was trying to do a permutation test on a large amount of temperature observations in R. Approximately 1700 temperature observations (g1) from one place and 2 ...
1
vote
1answer
30 views

Transform long tail data set to bell curve [on hold]

I'm analyzing a data set that has an extremely long tail, and I'm looking for a way to transfer the data into a bell curve so I can apply statistical analysis to it. Hope this makes sense, any help ...
0
votes
0answers
11 views

Test three groups with measured uncertainty

I measured two quantities $a$ and $b$ for three large groups (with different size $n$), normally distributed: $a\pm\sigma_a$ and $b\pm\sigma_b$ (the $\sigma$'s are different and are measured ...
0
votes
0answers
5 views

Error when trying to use run post-hoc comparisons on LME object with multcomp library in R [on hold]

I am trying to perform post-hoc testing on results from an LME model that was run to investigate the influence of the factor YEAR (fYear) on the response variable DISTANCE TRAVELLED (dt). The model ...
0
votes
0answers
6 views

Finding the effects of certain levels of a factor predictor

I have fitted a binary classification gbm model, and one of the predictor variables, Affiliate has 50 different levels. Given ...
-1
votes
1answer
10 views

What is difference between univariate vs multivariate Cox proportional-hazards? [on hold]

I am a dummy in statistics. Can anyone describe me basic data about univariate vs multivariate Cox proportional-hazards. What is their difference? How are they performed in spss package? What is ...
3
votes
1answer
13 views

Pre-post analysis with multiple post measures

I am having trouble deciding what type of analysis to use for the following data: I have two groups (one control, one treatment) and took a pre-measure of my dependent variable, and then 3 ...
1
vote
0answers
27 views

Kolmogorov distribution

Is there a package in R for the Kolmogorov distribution which allows me to plot density, distribution, calculates quantiles, etc.? The Kolmogorov distribution arises from $K=\sup|B|$, where $B$ is a ...
3
votes
0answers
23 views

Statistical methods to compare spatial maps

I would like to compare 4 radon flux maps (Bq m-2 s-1) generated using different methods. All of the maps use same projection and have same resolution. I am having trouble finding statistical ...
0
votes
0answers
7 views

All neural network designs stop because of early stopping in MATLAB

I'm using patternnet for my binary classification in MATLAB and using ...
0
votes
0answers
15 views

Difference between Meta-Analysis, Meta-Regression and Moderator-Analysis

What is the difference between the classic meta-analysis (that aggregates effect sizes from a sample of studies to a summary effect size), meta-regression analysis and moderator analysis? As I ...
0
votes
1answer
25 views

What type of analysis

I have two data sets to compare. Each is a list of billed amounts by diagnosis codes. The data differs in that the diagnosis codes may be different for some of the billed amounts. There are ...
0
votes
0answers
7 views

probability life similarities in a population cross section

I have just read up on Bouchard's Minnesota Twins study that turned up some amazing identical similarities in the lives of some identical twins reared apart. Both had same jobs, married and divorced ...
0
votes
1answer
19 views

Autoclass in R/Python? [on hold]

Are there any packages that implement the Autoclass/ Naive Bayes Clustering algorithm in R or Python? Alternatively, what are some other clustering algorithms that can handle both categorical and ...
1
vote
0answers
17 views

fisher.test() and Chi-square bug in R

I'm getting this error when conducting fisher.test() in R: ...
0
votes
0answers
9 views

Heterozygosity and the Wright-Fisher model

I was reading the textbook [Probability Models for DNA Sequence Evolution][1] by Durrett. In chapter 1, he discusses the Wright ...
0
votes
0answers
16 views

Libraries for Online learning

I am looking for packages (either in python, R, or a standalone package) to perform online learning to predict stock data. I have found and read about Vowpal Wabbit ...
0
votes
0answers
10 views

FDR calculation on non-p-value probabilities

From a meta analysis, I have a distribution of probabilities that are not p-values (i.e., they are not uniformly distributed when H0 is true). I am using these probabilities for an intersection-union ...
1
vote
0answers
27 views

data retrieval vs modeling

i don't have a specific mathematical setting for this question. it's rather high level. if you have a bunch of data X for a variable that we want to predict Y, and all we care about is predicting ...
1
vote
0answers
24 views

What is the form of link function in this BUGS multinomial regression example?

The alligators example from openbugs examples repository is the same example that comes with winbugs. Basically this is a multinomial logistic regression example in which the outcome variable has 5 ...
0
votes
0answers
9 views

Find out which factors are more important when creating index

I am very new to statistics and econometrics, I am programmer, but still I need to do one task and get familiar with statistics / econometrics more in details. 1) I have some index that consists of ...
0
votes
0answers
20 views

Best K in K-fold cross validation

I'm using K-fold cross validation technique for generating train,test and ...
0
votes
1answer
31 views

Summarizing a lognormal distribution with geometric mean and standard deviation

I have some data that I strongly suspect are lognormally distributed, and I'd like to summarize the distribution using the mean and standard deviation. I've read that with lognormal distributions the ...
0
votes
0answers
6 views

improving residuals for segmented glm

I have the following data: ...
-2
votes
0answers
12 views

Are there any R packages for analyzing a bimodal distributed data? [on hold]

I find there is a R package named "bimodalitytest", but I can not find in R package resource, and although can not cite it. here is the sitewet of this ...
0
votes
0answers
12 views

What is the best chart to display an entity's magnitude?

I am looking to display article ranking through a bubble like chart, which is focused on magnitude, so the x and the y axis are irrelevant. I have looked at d3 but didn't find my chart type. ...
2
votes
1answer
24 views

what is difference between ordinary least squares and residuals

I think the ordinary least squares are the sum of the vertical distance between the observed data to the model line(regression). And residual is calculated by add up all vertical distance between each ...
1
vote
0answers
24 views

Value for which the PDF(value) is maximal in a distribution with skew?

I am working on a project where I need to chart statistical data and related, skewed distributions a la http://en.wikipedia.org/wiki/Skew_normal_distribution. Unlike with normal distributions, in ...
0
votes
0answers
15 views

Is there a model based on the use of the mobile phone to classify the age? [on hold]

Is there a model, that based in the number of incoming and outgoing calls, also in their duration, that predicts the age of the owner of the mobile?
1
vote
1answer
12 views

How to choose data for training a predictive model for attrition prediction

Trying to build a predictive model for attrition prediction at service desk/call center. Have daily data on the following parameters: 1.Call quality(0-100%), 2.Avg. handling time(in minutes), ...
0
votes
0answers
17 views

Calculating weighted Euclidean distance with given weights

This question is regarding the weighted Euclidean distance. I have three features and I am using it as three dimensions. I need to place 2 projects named A and B in this 3 dimensional space and ...
1
vote
0answers
31 views

GLM regression - help choosing model specification

I think I need to use a Poisson-family regression or negative binomial regression. My variables are as follows: Y is an integer value ranging from 0 to ~1200. It represents sums (number of species ...
5
votes
1answer
89 views

Logistic Regression : How to obtain a saturated model

I just read about the deviance measure for the logistic regression. However, the part that is called saturated model is not clear to me. I did an extensive Google search but none of the results ...
0
votes
1answer
8 views

Variable significance for assessment results

I am trying to analyze multiple variables of our student population as it comes to assessment outcomes. I have the assessment change score and demographic information such as (race, sex, age, program, ...
0
votes
0answers
14 views

Data imputation for statistical analysis

Here is the situation: I have an individual level data set $X$ where each row is a person $i$ and each column denote characteristics of $i$. The problem is that my data is missing an important ...
0
votes
0answers
12 views

Most efficient vector construction for Dynamic Time Warping

I'm in the process of folding FastDTW into my SVM and the question now is how to best format my data (irrespective of normalization). Here's an example of what I'm attempting to do - given two 3d ...

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