Questions tagged [continuous-data]
A random variable $X$ is called continuous if its set of possible values is uncountable, and the chance that it takes any particular value is zero ($\text{P}(X = x) = 0$ for every real number $x$). A random variable is continuous if and only if its cumulative probability distribution function is a continuous function.
803 questions
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Choosing between spline models with different degrees of freedom and interaction terms in logistic regression
I am trying to visualize how a continuous independent variable X1 relates to a binary outcome Y, while allowing for potential ...
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Using bar chart vs histogram for dates [closed]
My general rule of thumb is that histograms should be used for continuous data, and bar charts for categorical data. (obviously not my rule)
What about dates? They are non-continuous (unlike, say, ...
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Differential VS Difference equations [closed]
I come from an engineering background, and I never used difference equations; while reading about them learned that are just the discrete counterpart of differential equations. Wouldn't it be way much ...
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Prioritization of features in model using $\beta$ coefficients [duplicate]
I was wondering - if you have a model which provides you with the $\beta$ estimates for each variable you include, but no p-value, how could one prioritise the ones with a stronger effect on the ...
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Updating a Continuous CDF After Observing Realised Draw From Same CDF
I am trying to solve for some updated distributions, but having a little trouble conceptualizing what I am doing.
In particular, suppose I have two CDFs, say $U[0,0.8]$ and $U[0.2,1]$; call them $...
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Is binning discrete variables a good idea? [duplicate]
This is a follow-up question to
What is the benefit of breaking up a continuous predictor variable?
Is binning of continuous data always bad for statistical tests? [duplicate]
From the above ...
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Is there a way to calculate LC50 from a continuous dependent variable?
I'm very new to R and also statistics, so the basics are lost on me. In the past I have done some simple experiments with chemicals and calculating the LC50 from binary responses (dead or alive). ...
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Are dichotomous categorical variables technically interval/continuous measures?
In my university statistics book it says "Dichotomous categorical variables are easily handled in MRA. This is because they are by definition, an interval (continuous) measure.". However I ...
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How do you model the two-way interactions between a continuous variable and two factors but not the three-way interaction with GAMs?
For the example, let's suppose I'm trying to model the level of activity of some frogs depending on a continuous variable (water temperature) and two factors : their sex (M or F) and the period of the ...
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Imputing a Continuous P-value Distribution from Discrete P-values [closed]
I'm exploring methods to create a continuous-like P-value distribution from discrete P-values. For example, consider the process where a balanced coin is tossed four times per experiment to note the ...
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Paired study designs for continuous data vs other types of data
My teacher says :
We're going to consider something called a paired design. But for now,
we'll only consider this when we're doing continuous outcomes.
Sometimes you'll see this in the literature, ...
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What statistical analysis test can be used to find the direction of effect?
I'm doing research on the effect of strategic video game play on students' mathematical ability. My independent variable is the number of hours spent playing strategic games daily, but my data is not ...
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Ordinal independent variable (IV) and continuous dependent variable (DV)
My independent variable is measured on a likert scale (1–5).
My moderator is dichonomous (yes or no)
I want to use SPSS process macro to measure the moderation relationship. Should I use a dependent ...
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Discrete test statistics cannot form a uniform P-value?
I received this feedback on my permutation test design from a collaborator and I'm wondering if his claim is valid. My test statistics are discrete (like counting the number of red marbles found after ...
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Choosing the right statistical analysis for my data
I have 20 field plots. In each plot, I have taken between 1000–1500 measurements (continuous values) of a given variable using an instrumental device and recorded information qualitatively through ...
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How to account for spatial autocorrelation when the outcome (distance cycled) is continuous?
I aim to predict distance cycled based on population density, recreational area density, infrastructure density, road intersection density, and average gradient (hilliness). The response variable, ...
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Correlation coefficient between discrete and continuous: is it possible?
Is it correct to measure the correlation coefficient between a continuous variable and a discrete variable? I visualized it and there is definitely no linear relationship the way I see it that is why ...
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How can I perform a comparison of poisson and linear modelling using one dataset?
my y is average length of stay in months however the number of months in dataset is up to 60 so I can treat it as continuous but my main objective is to identify when can i determine it's better to ...
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Practically and probabilistically modeling discrete data that can take on a countable (potentially infinite) number of values?
As an example, let's say that we have observations of the price of some good at various points in time and would like to predict the distribution of the price of the good one point in the future from ...
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Interpretation of multiple logistic regression (continuous variables) with interaction term
I have two independent variables, distance and light intensity (continuous variables) that I want to understand their ...
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Using both discrete and continuous moves in Metropolis-Hastings
I want to sample a continuous distribution $f$ using the Metropolis-Hastings algorithm. Can I define my transition kernel as being sometimes discrete and sometimes continuous as long as I use the ...
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Dichotomizing a continuous predictor leading to differing effects on 2 outcomes
I am fairly new to statistics as a Phd student. I am trying to understand how dichotomizing a continuous variable can lead to distinct effects on two dependent variables.
So in a cross-sectional ...
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For a logistic regression, how to include continuous independent variable that also depends on binary independent variable?
Hi trying to better understand the statistical approach for the below problem.
We'd like to build a logistic model (binary outcome) with two independent variables: one binary and the other continuous.
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2 or more continious features in Tree classification
If a training set has a continious feature, some texts recommend that first the dataset is sorted based on the continious feature, and then split points are chosen. What I am not sure about, is how ...
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Is generation/evaluation of probabilistic predictions on continuous data feasible for larger data sets in practice?
To better capture uncertainty about the phenomena that we model, probabilistic predictions seem to be a natural and common extension of point predictions.
Methods for evaluation of these predictions ...
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