# Questions tagged [univariate]

Pertaining to a single variable. Univariate statistics deal with only one variable - e.g. the mean, standard deviation, range etc. Univariate distributions involve only one variable e.g. the univariate normal, uniform etc. distributions.

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### What are other (standard?) distributions that well fit a beta distribution with parameters 3.1 and 1.9?

I have a collection of (200) points that are well-fitted by a (negatively-skewed) beta distribution with parameters $\alpha=3.1$ and $\beta= 1.9$. This is all fine and good, of course, but I am ...
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### Imputation in monthly univariate time series

I have a time series of the amount of apples sold in a specific Region. The time series include monthly values of 10 years (2006-2016). However two months are missing (February 2009 and July 2014). ...
1answer
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### Seek tool for univariate exploratory analysis

Looking for a tool to assist with univariate exploratory analysis as an early step in a model building process. Capabilities I’m looking for are to recode or transform the raw predictor variable, x, ...
2answers
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### Bootstrapping and hypothesis testing

I got a comment on a paper that I recently submitted. He said, "Pag 7: referring to the “Univariate Analysis” section, bootstrap is not mentioned. This technique is extremely useful when dealing ...
1answer
777 views

### Imputation in a univariate time series

I am doing a univariate time series analysis on regional sea-surface temperatures which has missing data, and I am thinking about using the R package, 'imputeTS.' My model is simple, it has MA errors ...
2answers
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### 1d optimal clustering

I have the following problem - i have a range of numbers (ie. [1, 5, 7, 8, 15, 29, 100]). I need to cluster them OPTIMALLY (not local optimum as in lloyd algorithm) and better than NP time, minimizing ...
0answers
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### Do I run a 3-Way ANOVA on SPSS if one of my IV is just there to form a control group?

I'm trying to see what effect different doses of a drug (IV 1) have on the behavior (my dependent variable) of a rodent model; specifically, whether there is a significant change in this behavior ...
1answer
1k views

### Danger of univariate analysis before multiple regression

It's sometimes said (e.g. in this talk) that doing univariate analysis before multiple regression may lead to kicking off useful features and other mistakes. So, my questions are as follows. Are ...
2answers
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### Defining a univariate regression

Does the following qualify as a univariate regression? $$y=b_0+b_1x+b_2x^2+\epsilon$$ I fully comprehend the implications of adding regressors and need no background information - a "yes" or "no" ...
1answer
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### covariate significant

I'm a bit lost at the results part of my thesis. I have conducted an generalized maximum likelihood (GML) univariate test with Y variable: dependent variable one X variable: independent (consists of 2 ...
1answer
495 views

### How to do Univariate Heteroscedasticity Test

I just wanted to know how to do Heteroscedasticity Test on a Univariate Model? ex: an univariate autoregressive model ex: an univariate ARCH/GARCH model If it is possible, how does one do that in <...
1answer
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### continuous response variable with lots of zero values

I'm trying to determine the effects of four treatments on flowers on the volume of nectar available to pollinators. Problem is, I have about 50% zero volumes across treatment categories. What is the ...
1answer
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### Finding the parameters of bimodal and trimodal univariate distribution with MATLAB

I am rather new to Matlab and never had a lot to do with statistics, so I apologize already for possibly being ignorant of quite a bit of important knowledge. It also would be nice if you could answer ...
1answer
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### Handling outliers in ANOVA

I have a question relative to the correct method to deal with univariate outliers when one has to conduct an ANOVA. Starting with an example, suppose I have two samples of subjects tested on a number ...