Answered

How can I evaluate characteristic functions in MatLab?

It seems like your question contains its own answer: mu = 1; sigma = 1; t = -2.5:0.01:2.5; cf = exp(i*mu*t - sigma^2*t.^2/2)...

How can I evaluate characteristic functions in MatLab?

It seems like your question contains its own answer: mu = 1; sigma = 1; t = -2.5:0.01:2.5; cf = exp(i*mu*t - sigma^2*t.^2/2)...

4 dagar ago | 1

Answered

How to perform 1way-ANOVA with matrices

manova might be a better approach, since it allows you to combine information from all three variables (x,y,z) into a single tes...

How to perform 1way-ANOVA with matrices

manova might be a better approach, since it allows you to combine information from all three variables (x,y,z) into a single tes...

4 dagar ago | 1

Answered

Passing Covariance Matrix in Likelihood Maximization

Sometimes this kind of problem can be solved by adding code within the LogLik function to make sure that a legal (i.e., positive...

Passing Covariance Matrix in Likelihood Maximization

Sometimes this kind of problem can be solved by adding code within the LogLik function to make sure that a legal (i.e., positive...

8 dagar ago | 0

| accepted

Answered

how can i calculate z^2 distibution?

The distribution of z^2/a^2 is a chi-square with 1 df.

how can i calculate z^2 distibution?

The distribution of z^2/a^2 is a chi-square with 1 df.

9 dagar ago | 0

Answered

How can I get randperm to return a permutation of a vector that has no entries at their original positions?

I don't think randperm can do that by itself, but I think this would work for an even number of items in the original vector: o...

How can I get randperm to return a permutation of a vector that has no entries at their original positions?

I don't think randperm can do that by itself, but I think this would work for an even number of items in the original vector: o...

9 dagar ago | 0

Answered

R code to matlab, or simply generating a zero mean gaussian and finding the covariance matrix

x=normrnd(0,1,5000,1); v=normrnd(0,0.3,5000,1); y=0.5*x+v; cov=mean(x.*y)-(mean(x)*mean(y)); cov s=cov*(sqrt(var(x)))*(sqrt...

R code to matlab, or simply generating a zero mean gaussian and finding the covariance matrix

x=normrnd(0,1,5000,1); v=normrnd(0,0.3,5000,1); y=0.5*x+v; cov=mean(x.*y)-(mean(x)*mean(y)); cov s=cov*(sqrt(var(x)))*(sqrt...

11 dagar ago | 0

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Answered

Generating a histogram from lognormally distributed data

What about something like this: mu = 0.015; % mean particle size sg = 1.6; % standar...

Generating a histogram from lognormally distributed data

What about something like this: mu = 0.015; % mean particle size sg = 1.6; % standar...

12 dagar ago | 1

Answered

How to integral a pdf of a continuous random variable to calculate its entropy

Try this: pd = makedist('beta','a',50,'b',40); fun = @(x) pdf(pd,x) .* log( pdf(pd,x) ); H = -integral(fun,0,1)

How to integral a pdf of a continuous random variable to calculate its entropy

Try this: pd = makedist('beta','a',50,'b',40); fun = @(x) pdf(pd,x) .* log( pdf(pd,x) ); H = -integral(fun,0,1)

13 dagar ago | 0

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Answered

Fit data to beta distribution

There is information here about how to fit a univariate distribution from an empirical CDFs with MATLAB. Unfortunately, it is a ...

Fit data to beta distribution

There is information here about how to fit a univariate distribution from an empirical CDFs with MATLAB. Unfortunately, it is a ...

14 dagar ago | 0

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Answered

how to create a pdf function of two variables that are in different uniform distribution

If they are independent then the joint pdf is the product of the marginal pdfs, so in this case pdf(x,y) = 0.01

how to create a pdf function of two variables that are in different uniform distribution

If they are independent then the joint pdf is the product of the marginal pdfs, so in this case pdf(x,y) = 0.01

14 dagar ago | 0

Answered

Calculate Exponetial Moving Covariance

Not really a hand, but maybe some hints...Let's say you have variables x and y, and you want the exponentially weighted rolling ...

Calculate Exponetial Moving Covariance

Not really a hand, but maybe some hints...Let's say you have variables x and y, and you want the exponentially weighted rolling ...

17 dagar ago | 0

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Answered

Select sample from an array

Maybe this: ints = [2:7:259 3:7:259 4:7:259 5:7:259]; srtints = sort(ints); X1 = x(:,srtints);

Select sample from an array

Maybe this: ints = [2:7:259 3:7:259 4:7:259 5:7:259]; srtints = sort(ints); X1 = x(:,srtints);

17 dagar ago | 0

| accepted

Answered

Kruskal-Wallis test with very small p-values

p values can be anywhere between 0 and 1, depending on your data. a tiny p value like that is telling you that you would very r...

Kruskal-Wallis test with very small p-values

p values can be anywhere between 0 and 1, depending on your data. a tiny p value like that is telling you that you would very r...

18 dagar ago | 0

Answered

Fitting a multivariate Gaussian distribution on a histogram

There isn't really a universal answer to "which distribution fits best", because there are an infinite number of different distr...

Fitting a multivariate Gaussian distribution on a histogram

There isn't really a universal answer to "which distribution fits best", because there are an infinite number of different distr...

21 dagar ago | 0

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Answered

How to index through variable list in a table after doing calculation with each variable

myVars = {'Var1name' 'Var2name' 'Var3name'}; % list the names of the variables you want for iVar=1:numel(myVars) thisColu...

How to index through variable list in a table after doing calculation with each variable

myVars = {'Var1name' 'Var2name' 'Var3name'}; % list the names of the variables you want for iVar=1:numel(myVars) thisColu...

23 dagar ago | 1

Answered

How to obtain the standard error for each of the fitted parameters

The notion of a standard error assumes some kind of random sampling. For example, the standard error of your 'b' parameter refl...

How to obtain the standard error for each of the fitted parameters

The notion of a standard error assumes some kind of random sampling. For example, the standard error of your 'b' parameter refl...

23 dagar ago | 0

Answered

sqlite foreign key constraint not enforced

In case anyone else is interested, here is the answer from MATLAB technical support: This [is] a bug in executing PRAGMA querie...

sqlite foreign key constraint not enforced

In case anyone else is interested, here is the answer from MATLAB technical support: This [is] a bug in executing PRAGMA querie...

24 dagar ago | 0

Answered

Weird fitting result from using 'ksdensity'

Try histogram(x,'Normalization','pdf')

Weird fitting result from using 'ksdensity'

Try histogram(x,'Normalization','pdf')

24 dagar ago | 0

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Answered

How to plot a spatial correlation with a p-value threshold?

After you get X (bottom of your first code segment): rCrit = 0.312; % Based on N=40 and alpha = 0.05, 2-tailed, from a table of...

How to plot a spatial correlation with a p-value threshold?

After you get X (bottom of your first code segment): rCrit = 0.312; % Based on N=40 and alpha = 0.05, 2-tailed, from a table of...

ungefär en månad ago | 0

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Answered

double truncated data sample

This is pretty ugly, but I think will do what you asked for: function [x]=generate_sample(n,eta,beta,theta,t1,t2) % ...

double truncated data sample

This is pretty ugly, but I think will do what you asked for: function [x]=generate_sample(n,eta,beta,theta,t1,t2) % ...

ungefär en månad ago | 0

Question

sqlite foreign key constraint not enforced

My question is how to get MATLAB's sqlite databases to enforce foreign key constraints. Here is a minimal working example illus...

ungefär en månad ago | 1 answer | 0

Answered

How to use least square fit in MATLAB to find coefficients of my polynomial?

% It sounds like you have data arrays like these: nPoints = 100; H = rand(nPoints,1); C = rand(nPoints,5); % If so, comput...

How to use least square fit in MATLAB to find coefficients of my polynomial?

% It sounds like you have data arrays like these: nPoints = 100; H = rand(nPoints,1); C = rand(nPoints,5); % If so, comput...

ungefär en månad ago | 1

| accepted

Answered

How to remove effect of "in" predictors on "out" predictors in stepwiseregression?

One way to think of it is that the "out" predictors will only improve the fit of the regression model if they bring in some new ...

How to remove effect of "in" predictors on "out" predictors in stepwiseregression?

One way to think of it is that the "out" predictors will only improve the fit of the regression model if they bring in some new ...

ungefär en månad ago | 1

Answered

How to fit data in exponential fit (R = exp(-q*D)) and find coefficient "q" using Maximum Likelihood Estimate (MLE)?

As I read this question, it is about fitting a model rather than a distribution, so I don't think mle is appropriate. Instead, ...

How to fit data in exponential fit (R = exp(-q*D)) and find coefficient "q" using Maximum Likelihood Estimate (MLE)?

As I read this question, it is about fitting a model rather than a distribution, so I don't think mle is appropriate. Instead, ...

ungefär en månad ago | 0

Answered

Multivariate analysis of variance in Matlab

You need to arrange your data in a table with one row per individual group member. For example, your first group seems to have ...

Multivariate analysis of variance in Matlab

You need to arrange your data in a table with one row per individual group member. For example, your first group seems to have ...

ungefär en månad ago | 1

| accepted

Answered

Selecting a "random" element from an array with each element having it's own weighting

% Wts is your vector of weights. Wts = Wts / sum(Wts); % make sure they sum to 1 cumPrs = cumsum(Wts); % cumPr is the cumula...

Selecting a "random" element from an array with each element having it's own weighting

% Wts is your vector of weights. Wts = Wts / sum(Wts); % make sure they sum to 1 cumPrs = cumsum(Wts); % cumPr is the cumula...

ungefär en månad ago | 0

Answered

Help fitting data to an implicit equation

I would suggest using fminsearch. The error function to be minimized would be something like: function thiserr = err(x,y,t) ...

Help fitting data to an implicit equation

I would suggest using fminsearch. The error function to be minimized would be something like: function thiserr = err(x,y,t) ...

ungefär 2 månader ago | 0

| accepted

Answered

Chi-squared for multiple groups

The crosstab function will do this--it is not limited to 2x2 tables. Example: % Make up example data for 200 participants, codi...

Chi-squared for multiple groups

The crosstab function will do this--it is not limited to 2x2 tables. Example: % Make up example data for 200 participants, codi...

ungefär 2 månader ago | 0

Answered

using mle in matlab

One problem is that mle's search function (fminsearch) may try negative parameter values, in which case your pdf function return...

using mle in matlab

One problem is that mle's search function (fminsearch) may try negative parameter values, in which case your pdf function return...

ungefär 2 månader ago | 0

Answered

ttest2 with a group describing independent values (statistics)

No, it is not possible to use ttest2 as you suggest. Your design has 2 factors: gender and time (day/night) with repeated measu...

ttest2 with a group describing independent values (statistics)

No, it is not possible to use ttest2 as you suggest. Your design has 2 factors: gender and time (day/night) with repeated measu...

2 månader ago | 1

| accepted