A histogram is a graphical representation of the frequencies of a continuous variable. The variable is divided into bins and a bar is drawn for each bin, proportional to its frequency in the data.

learn more… | top users | synonyms

2
votes
1answer
44 views

Rank histogram (or Talagrand Diagram) of precipitation data

Given a dataset of lines containing 6 wind forecast values plus 1 observed (actual) value in each like: ...
2
votes
2answers
104 views

Comparing two histograms

I would like to know what are the common techniques to compare two histograms? I have histogram of two images and I want to see are they similar or not meaning that is there any correlation between ...
1
vote
0answers
14 views

Methods for 3D histograms comparison

When I wish to compare 2D image histograms I can use methods like Chi-Square and Intersection but what are my options if I wish to compare 3D histograms (e.g, based on R,G,B values)? Thanks.
0
votes
0answers
4 views

R - emulate the default behavior of hist() with ggplot2 for bin width [migrated]

I'm trying to plot an histogram for one variable with ggplot2. Unfortunately, the default binwidth of ggplot2 leaves something to be desired: I've tried to play with ...
0
votes
2answers
46 views

Plotting a Gaussian in Python

I am trying to plot a histogram of my data, and I seem to be a little confused here. I am using matplotlib in Python. Here is the code from their website: ...
2
votes
1answer
22 views

How to measure the magnitude of difference between two gaussian distributions? Specifically with rates of DNA mutations

As the title says I want to quantify the difference in the rates of sequence change between genes. When I measure the mutation rates between my subgenomes I can determine a significant but slight ...
1
vote
0answers
24 views

generate frequency distribution from database

In a MySQL database there's a table with a single numeric value column. I want to plot the distribution of these values as a bar chart/histogram with the following ...
1
vote
0answers
7 views

Select most different observations

I have a polar chart representing eight dimensional observations as 'rings' around the center. Furthermore, I am limited to Excel for graphing purposes, which means I can only display 255 series at ...
3
votes
0answers
39 views

10% dip in February for metrics that count?

February usually has 28 days, unlike it's neighbors January and March which have 31. It seems that most countable things will exhibit, on average, a 10% dip in February for the missing 3 days. This ...
0
votes
1answer
20 views

Quantifying Change in a Histogram Valued Timeseries

I'm attempting to do binary classification where my raw features are collections of histograms that are recorded in a time series. These histograms are scaled to sum to 1. To be more precise and ...
1
vote
1answer
27 views

Which distribution to parametrize price histogram with exponential tail?

I have plotted price histograms which seem to follow and exponential tail very well. However, I would also like to parametrize the initial peak in the low price range. Can suggest what ...
0
votes
0answers
25 views

How to corretly scale sum of squared residuals of two different sets of data in order to compare them?

I did numerical simulations of two different systems that returned me N=1000 histograms expressed as $\{x,y,y'\}$, where $x$ is the independent variable, $y=P(x)$ is the probability distribution ...
0
votes
0answers
38 views

2d histogram or 3d histogram?

Is the following plot a 2d histogram or a 3d histogram? On one hand it has 2 dimensions of data, but on the other, the plot itself is 3 dimensional.
0
votes
0answers
32 views

BOW prediction of cluster for training data

I am creating a bag of visual words for classification of videos. I am not using SURF descriptors and that is why I couldn't use OpenCV's BOWImgDescriptorExtractor ...
0
votes
0answers
23 views

Histogram distance metric for extreme values only

I am interested in a histogram comparison method or histogram matching technique that takes into account only the tails of the distribution. Consider the following histograms: Histogram 1: ...
0
votes
1answer
236 views

Calculating the variance of the histogram of a grayscale image

I am doing image processing and I want to calculate the variance of a histogram of pixel intensities. The first method I have tried: The images store the pixels values using double precision ...
1
vote
2answers
143 views

Normality tests for histograms

I understand that one quick way to test for normality is to create a histogram from my data and see if it "looks bell-curved". Alternatively, I can use some normality test like Pearson's chi-squared. ...
0
votes
0answers
35 views

Outliers in a bimodal distribution

Somewhat related to this post. However my question is a little specific. I have some data from gene expression quantification from single cells using RNA sequencing. I haven't had a look at it but I ...
1
vote
0answers
89 views

Appropriate test for detecting a signal in normally distributed noise

I am doing some signal processing and I have a histogram which has a bell shape when there is only noise in the signal. (I have been advised that this is to be expected due to the central limit ...
0
votes
0answers
25 views

peak detection - points / sigma ratio

I would like to ask you (statistics experts) if the following approach is kosher or a nonsense. Problem My EM based detection algorithm ends up (for some data) with a result that looks like attached ...
0
votes
1answer
82 views

histogram normalised to area 1

i have a histogram with the y-axis showing the proportion in percentage. That makes sense to me but now i have read that histograms can be normalized with the result that the area of the rectangles is ...
0
votes
1answer
88 views

Too big (?) histogram values when using normed histo options in SciPy and matplotlib

I have been trying to create a normed histogram using either SciPy or matplotlib (or anything for Python). When I create my histogram with 'normed' option disabled, it looks like below (this example ...
1
vote
1answer
33 views

How to test which data match model at best

Description I have 1D data with $N$ normally distributed clusters. I have to find a cluster, which is the worst (differs at most from the normal distribution). My approach I calculate $sq = ...
0
votes
0answers
62 views

Plotting more than three variables in matlab

I am here to seek opinion on how should i represent my data that i have collected. I am to create a presentation focusing on environment. I was told that a simple bar chart and a line graph is a bad ...
0
votes
0answers
292 views

HOG Feature Implementation with SVM in MATLAB

I would like to do classification based on HOG Features using SVM. I understand that HOG features is the combination of all the histograms in every cell (i.e. it becomes one aggregate histogram). ...
0
votes
0answers
26 views

Analyzing the shape of distribution on a histogram [duplicate]

I have three different histograms which are generated from one sample. In each of the histograms, both variables are the same. Although binwidths for each histogram is different. By looking at each of ...
4
votes
2answers
142 views

Is there a better way than side-by-side barplots to compare binned data from different series

I have a number histogram from a data source. I want to compare their distribution. For example series 2 is more to the right than series 1. Is there any good way to contrast besides plotting the ...
0
votes
1answer
104 views

Normalize histogram with different bin width?

I know how to normalize histogram (so that the area =1) with the same bin width, but how to do it when the histogram has different bin width? Any idea?
0
votes
0answers
21 views

Compute mean from discrete normally distributed data [duplicate]

I am looking for an estimator of the mean of normally distributed data (with known variance) in the regime where the sampling grid is much coarser than the variance. I.e. in the worst case consider ...
1
vote
0answers
42 views

Compare Frequencies

I have a continuous predictor variable that I have divided into bins (at 0%, 0 to 25%, ...). For each of these bins, I have shown you the histogram below of Number of Companies that are in that range ...
1
vote
1answer
51 views

Frequency Distribution Test Vs. Chi Square Goodness of FIt

I need to prove that the higher frequency of an occurrence within a particular range is statistically significant. Let me explain this with an example: X-axis has ages and Y-axis has the ...
0
votes
0answers
148 views

Mutual information with outliers

I am using Mutual Information on a data set with some outliers. The univariate variables don't have a known distribution, so I cannot remove them automatically with any neat method, like Grubbs or ...
1
vote
1answer
169 views

Normally distributed errors - Why not use the observed residual histogram?

In the context of the classical linear regression model (with all standard assumptions), we know that when the error term is normally distributed, least squares is minimum variance among all linear ...
2
votes
0answers
369 views

How to get Bhattacharyya Distance in Excel (or Matlab, or R)

I have several histograms which I would like to compare to one reference histogram to see which one is the most similar to the reference in terms of the shape of the distribution. Kologorov-Smirnov ...
5
votes
0answers
93 views

Is this a normal distribution?

I have done some processing to my original data. Before the processing I had a nice histogram with a bell shape. Now it still looks like a bell shape to me if I would slice off the first half and ...
1
vote
1answer
290 views

How do I correctly produce a prior/posterior plot from MCMC chains in Bayesian hierarchical models?

I'm a beginner at hierarchical modeling and statistics in general and this is confusing me. Question: If I draw a histogram of a posterior distribution from an MCMC chain, do I draw the prior as a ...
0
votes
0answers
28 views

Quantify agreement of histograms filled with autocorrelated data

I'm having an issue quantifying the agreement/disagreement of histograms that were filled with autocorrelated data. The context: I'm working with gps-data on velocities, that were recorded with 1Hz. ...
0
votes
0answers
21 views

Empirical Conditional Intensity Function

I'm trying to compute the empirical conditional intensity function in my data. I have two types of events, event Type1 and event Type2, that can occur in a time interval of, say, 1 day (events don't ...
2
votes
1answer
94 views

Kernel density estimation - application

What is the validity of using a kernel-density-estimation to compare model x observed data? In other words, if the KDE curve for the observed data looks like the KDE for the model forecast, can I use ...
3
votes
3answers
959 views

Comparing histograms

The data I have are the ages male or female won an award (79 data points, ages, for each gender). When constructing a freq table I used to find the number of classes, $$ n = 79 $$ $$ ...
2
votes
1answer
83 views

Accuracy of computing moments from an histogram

Let's say I have an histogram of some continuous data with unknown and arbitrary pdf. I don't have access to the original raw data. So I don't know that 3 of my data points are 21, 25 and 27, all I ...
0
votes
0answers
15 views

Minima between modes at different time points

I have measurements for a number of different discrete groups (e.g., Group A, Group B, . . . Group Z). I believe that the measurements for Groups A and B are smaller than those for groups C through Z. ...
5
votes
2answers
319 views

How to smear a histogram

I was asked to perform a Gaussian smearing on the bins of an histogram. What does this mean?
1
vote
0answers
140 views

Histogram PDF Fitting - bin Variance Poisson or not

So my basic query is just because you've binned and counted the data into a histogram are the error bars on the bins necessarily the Poisson $\sqrt{N}$? Longer explanation: I have an image of pixel ...
2
votes
2answers
265 views

Different histograms for same data in R and Oracle Crystal Ball

I am analysing small sample size data: >dput(dat.demand2050.unique) c(79, 56, 69, 61, 53, 73, 72, 86, 75, 68, 74.2, 80, 65.6, 60, 54) for which the ...
1
vote
1answer
115 views

Bhattacharyya distance for three histograms

There is a paper “Auto White Balance Based on the Similarity of Chromaticity Histograms” mention about automatic white balance. One of the key point of this algorithm is how to measure the similarity ...
1
vote
3answers
267 views

What is the proper way to compute the r-squared between a binned distribution of observed values and a continuous probability density function?

I have circular data -- observations each of which falls between -180 degrees and +180 degrees -- divided into a 15-bin histogram. I'd like to see how well a continuous PDF -- specifically a mixture ...
5
votes
1answer
186 views

Why so many large p-values when I repeat an experiment?

I have a quick question: In using a t.test for multiple experiments, I got one p-value for each experiment. When I plot the histogram of these p-values, I find the distribution looks like a ...
0
votes
0answers
135 views
3
votes
2answers
143 views

Can I use kernel density estimation when I only have histogram data, not the raw values?

I'm using R, but the density function requires the actual samples, but I only have the histogram data. Can I still use kernel density estimation, or is there a better tool for this?