All Questions

4
votes
1answer
115 views
+50

How to formulate linear mixed model to find out effects of continuous variables?

I have a dataset with growth rate as a response variable (resp in the example) and temperature, food availability, and salinity as predictor variables (...
12
votes
1answer
1k views
+50

What is a difference between random effects-, fixed effects- and marginal model?

I am trying to expand my knowledge of statistics. I come from a physical sciences background with a "recipe based" approach to statistical testing, where we say is it continuous, is it normally ...
2
votes
0answers
36 views
+50

Estimating a sub-population characteristic based on independent samples without replacement

Note: This question is a follow-up of Estimating population size of a subgroup based on independent samples without replacement Let a bag have 1000 balls of arbitrary colors and unknowns sizes ($r$). ...
0
votes
0answers
16 views
+50

Dealing with singleton strata in survey analysis

I am primarily using Stata for my survey analysis, but my question is also applicable to R or SUDAAN. There are a number of different ways of accounting for singleton strata in survey analysis. Just ...
1
vote
1answer
75 views
+100

Multiple testing in correlation analysis over time periods

I have one variable measured once per time interval (say, once per year), and another variable measured periodically (say, once per day). The periodic measurements are autocorrelated. I am interest ...
0
votes
0answers
39 views
+50

What is the difference between Contrastive divergence k and persistent contrastive divergence algorithm?

As per my understanding Contrastive divergence k is obtaining v(k) after k steps of gibbs chain. Persistent contrastive divergence is obtaining v(k) independent of v(0). I am quite confused with the ...
6
votes
2answers
91 views
+50

How to summarize knowledge about importance of variables?

Assume that we have 30 features (inputs) each of which can potentially influence the result (output). We try to use the available ("observed") mapping from features to targets to develop a predictive ...
2
votes
0answers
24 views
+50

Identifying the most connected nodes in a set of networks with shared nodes

I have a set of weighted networks, each represented as a complete graph composed of nodes and connections with weights (see also "weighted networks" on Wikipedia). All networks share the same nodes ...
3
votes
3answers
251 views
+100

Multiple imputation for missing values

I would like to use imputation for replacing missing values in my data set. I have some constraints , for example I dont not want imputed variable x1 be less than ...