Answered

fitgmdist for loop; nested for loop, combine array of different sizes

I don't really follow what you are trying to do, but maybe some of these comments will help a bit: I. Use a cell array to outpu...

fitgmdist for loop; nested for loop, combine array of different sizes

I don't really follow what you are trying to do, but maybe some of these comments will help a bit: I. Use a cell array to outpu...

alrededor de 3 horas ago | 0

Answered

How do I fit multiple Gaussians to my data?

From the new graph you've posted, it looks like the values in AbsY are not the type of data expected by fitgmdist, and I suspect...

How do I fit multiple Gaussians to my data?

From the new graph you've posted, it looks like the values in AbsY are not the type of data expected by fitgmdist, and I suspect...

1 día ago | 1

Answered

How to compare appropriateness of fitted Weibull and lognormal models via the likelihood ratio test

Unfortunately the likelihood ratio test cannot be used this way. It is only for comparing nested models (i.e., one model has to...

How to compare appropriateness of fitted Weibull and lognormal models via the likelihood ratio test

Unfortunately the likelihood ratio test cannot be used this way. It is only for comparing nested models (i.e., one model has to...

1 día ago | 0

Answered

how can i check the geometric distribution

Look at the Wikipedia page on this distribution and it will tell you how to estimate the parameter from your observations (it de...

how can i check the geometric distribution

Look at the Wikipedia page on this distribution and it will tell you how to estimate the parameter from your observations (it de...

2 días ago | 0

Answered

Use 'trandn' function to draw random numbers from a lognormal distribution

An easy way to get random numbers from a lognormal distribution is to get random numbers from a normal distribution and then exp...

Use 'trandn' function to draw random numbers from a lognormal distribution

An easy way to get random numbers from a lognormal distribution is to get random numbers from a normal distribution and then exp...

2 días ago | 0

Answered

Ploting the result of a fitgmdist (of 1D data)

Say you want to plot the distribution from -15 to 15 in steps of 0.05. This would be the code: z = (-15:0.05:15)'; % Note th...

Ploting the result of a fitgmdist (of 1D data)

Say you want to plot the distribution from -15 to 15 in steps of 0.05. This would be the code: z = (-15:0.05:15)'; % Note th...

2 días ago | 0

| accepted

Answered

Ranking Variables by Value

You might find the second output of the sort command useful. E.g. fruitVals = [p_a p_b p_o p_p]; [~, idxOrder] = sort(fruitVa...

Ranking Variables by Value

You might find the second output of the sort command useful. E.g. fruitVals = [p_a p_b p_o p_p]; [~, idxOrder] = sort(fruitVa...

2 días ago | 0

Answered

help random numbers generator

Good. Here it is as an 'official' answer: pd = makedist('Normal'); t = truncate(pd,-0.5,0.5); r = random(t,10,1);

help random numbers generator

Good. Here it is as an 'official' answer: pd = makedist('Normal'); t = truncate(pd,-0.5,0.5); r = random(t,10,1);

4 días ago | 0

| accepted

Answered

How to generate random numbers from a scaled beta PDF?

Generate regular beta random numbers and then rescale them. I guess you want to generate randomly from the regular beta(3,3) di...

How to generate random numbers from a scaled beta PDF?

Generate regular beta random numbers and then rescale them. I guess you want to generate randomly from the regular beta(3,3) di...

5 días ago | 0

| accepted

Answered

Why does stepwiselm function output NaN with model interactions?

Multivariate techniques like stepwise regression require more cases (rows) than variables--in practice, you need at least 5-10 t...

Why does stepwiselm function output NaN with model interactions?

Multivariate techniques like stepwise regression require more cases (rows) than variables--in practice, you need at least 5-10 t...

5 días ago | 0

Answered

Concatenate string to string array in efficient way

strMsgArray = strcat(strStart,strMsgArray,strEnd)

Concatenate string to string array in efficient way

strMsgArray = strcat(strStart,strMsgArray,strEnd)

9 días ago | 0

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Answered

question related to Statistics in matlab

r=poissrnd(9,200,1); will give you 200 random numbers from a poisson distribution with lambda=9. Lots of those numbers will be...

question related to Statistics in matlab

r=poissrnd(9,200,1); will give you 200 random numbers from a poisson distribution with lambda=9. Lots of those numbers will be...

14 días ago | 0

Answered

Calculate Convolution 2 pdf random variables

The built-in conv function is for something else, not statistical convolutions. In general, the probability density function of...

Calculate Convolution 2 pdf random variables

The built-in conv function is for something else, not statistical convolutions. In general, the probability density function of...

14 días ago | 0

Answered

How to do an unpaired t-test?

I'm guessing you have some kind of numerical score in each of 120 trials for each of (say) 30 subjects and you want to know if t...

How to do an unpaired t-test?

I'm guessing you have some kind of numerical score in each of 120 trials for each of (say) 30 subjects and you want to know if t...

18 días ago | 0

Answered

Overall fir of binomial general linear model

People don't normally test the overall significance of these models. Instead, they look at the significance of the individual p...

Overall fir of binomial general linear model

People don't normally test the overall significance of these models. Instead, they look at the significance of the individual p...

21 días ago | 1

Answered

Bootstrap alternative to t-test dependent measures does not produce same p values

The p values are not that far off, given that the t-test is based on the assumption of normally distributed difference scores an...

Bootstrap alternative to t-test dependent measures does not produce same p values

The p values are not that far off, given that the t-test is based on the assumption of normally distributed difference scores an...

24 días ago | 0

Answered

pdf of two distribution in mixture

the pdf of the mixture is just the weighted average of the pdfs of the beta and gamma, something like p_beta = 0.8; % probabil...

pdf of two distribution in mixture

the pdf of the mixture is just the weighted average of the pdfs of the beta and gamma, something like p_beta = 0.8; % probabil...

25 días ago | 0

Answered

Convolution and tolerances: how do I calculate the probability density function of the difference between two dimensions? (mechanical engieering)

In general, if h(x) and s(x) are the PDFs of the hole and shaft, respectively, then the PDF d(x) of the difference d=h-s is d(x...

Convolution and tolerances: how do I calculate the probability density function of the difference between two dimensions? (mechanical engieering)

In general, if h(x) and s(x) are the PDFs of the hole and shaft, respectively, then the PDF d(x) of the difference d=h-s is d(x...

25 días ago | 1

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Answered

How to generate mixture of exponential and beta distribution

Check whether I have interpreted your parameters correctly, but it should look something like this: lambda = 0.5; a = 4; b = ...

How to generate mixture of exponential and beta distribution

Check whether I have interpreted your parameters correctly, but it should look something like this: lambda = 0.5; a = 4; b = ...

26 días ago | 0

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Answered

Different functions with different variables as input

I think you can do this by bundling up the arguments for each function in a cell array. It would look something like this (unte...

Different functions with different variables as input

I think you can do this by bundling up the arguments for each function in a cell array. It would look something like this (unte...

alrededor de 1 mes ago | 0

| accepted

Answered

How to compute lower tail probability for the Bivariate Normal Distribution

The function 'mvncdf' computes the lower tail probability for the multivariate normal distribution.

How to compute lower tail probability for the Bivariate Normal Distribution

The function 'mvncdf' computes the lower tail probability for the multivariate normal distribution.

alrededor de 1 mes ago | 0

Question

Can I call integralCalc directly to bypass integralParseArgs?

I'm trying to speed up a function Foo that calls 'integral' thousands of time. The profile viewer reveals that more than half of...

alrededor de 1 mes ago | 1 answer | 0

Answered

How to use original n-th moments formula to calculate mean, skewness and kurtosis in uniform distribution?

I don't think mean(x) gives you what you want inside fun. Try this: fun = @(x,n) (x-0.5).^n;

How to use original n-th moments formula to calculate mean, skewness and kurtosis in uniform distribution?

I don't think mean(x) gives you what you want inside fun. Try this: fun = @(x,n) (x-0.5).^n;

alrededor de 1 mes ago | 0

Answered

What statistical test is available in matlab for unbalanced samples other than ttest?

One possibility is the Wilcoxon rank sum test.

What statistical test is available in matlab for unbalanced samples other than ttest?

One possibility is the Wilcoxon rank sum test.

alrededor de 1 mes ago | 1

| accepted

Answered

How can I generate integer random variables by using exponentially distributed with a mean of 20 seconds?

If you just want integers, then use the geometric distribution instead of the exponential: r2 = geornd(1/mu2,sz1,sz2);

How can I generate integer random variables by using exponentially distributed with a mean of 20 seconds?

If you just want integers, then use the geometric distribution instead of the exponential: r2 = geornd(1/mu2,sz1,sz2);

alrededor de 1 mes ago | 0

| accepted

Answered

Negative correlation between two random vectors

Alternatively, generate independent variables and then combine them to create a new variable that they are correlated with. E.g....

Negative correlation between two random vectors

Alternatively, generate independent variables and then combine them to create a new variable that they are correlated with. E.g....

alrededor de 1 mes ago | 0

Answered

For loop to evaluate Root Mean Square

I don't really understand what you mean by conditions, but maybe you can get what you want by thinking of a 2-step process where...

For loop to evaluate Root Mean Square

I don't really understand what you mean by conditions, but maybe you can get what you want by thinking of a 2-step process where...

alrededor de 2 meses ago | 0

Answered

Compare empirical CDF and lognormal CDF

logncdf wants the mean and sd of the logged scores. Try this: fit_s=logncdf(sort(SD) , mean(log(SD)) , std(log(SD)) );

Compare empirical CDF and lognormal CDF

logncdf wants the mean and sd of the logged scores. Try this: fit_s=logncdf(sort(SD) , mean(log(SD)) , std(log(SD)) );

alrededor de 2 meses ago | 0

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Answered

How to plot a mixed density function?

x=-6:.01:10; pdf1 = normpdf(x,1,1); pdf2 = normpdf(x,4,1); mixpdf = 0.5*pdf1 + 0.5*pdf2; figure; plot(x,mixpdf);

How to plot a mixed density function?

x=-6:.01:10; pdf1 = normpdf(x,1,1); pdf2 = normpdf(x,4,1); mixpdf = 0.5*pdf1 + 0.5*pdf2; figure; plot(x,mixpdf);

alrededor de 2 meses ago | 0

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Answered

How to load the letter and their log probabilities in database.txt into our program?

This function on FileExchange simply returns a long list of all the numbers in the file. Since it looks like your file has the ...

How to load the letter and their log probabilities in database.txt into our program?

This function on FileExchange simply returns a long list of all the numbers in the file. Since it looks like your file has the ...

alrededor de 2 meses ago | 0

| accepted