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Constrained Polynomial Regression

The 12a release of Statistics Toolbox has some very nice new features for regression analysis. There is a new function named Li...

Constrained Polynomial Regression

The 12a release of Statistics Toolbox has some very nice new features for regression analysis. There is a new function named Li...

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Constrained Polynomial Regression

Curve Fitting Toolbox allows you to specify constraints for individual regression coefficients. With this said and done, coul...

Constrained Polynomial Regression

Curve Fitting Toolbox allows you to specify constraints for individual regression coefficients. With this said and done, coul...

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fitting curve to two points

Here's the rub... When you fit a second order Fourier series, you're estimating values for six different regression coefficie...

fitting curve to two points

Here's the rub... When you fit a second order Fourier series, you're estimating values for six different regression coefficie...

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fitting curve to two points

From the looks of things, your daily load curve is a particular example of a second order Fourier series. If you have Curve F...

fitting curve to two points

From the looks of things, your daily load curve is a particular example of a second order Fourier series. If you have Curve F...

plus de 12 ans il y a | 0

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Principal Component Analysis

The Statistics Toolbox product page has a good demo titled "Partial Least Squares Regression and Principal Components Regression...

Principal Component Analysis

The Statistics Toolbox product page has a good demo titled "Partial Least Squares Regression and Principal Components Regression...

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nonlinear curve-fitting: weight vector

nlinfit in Statistics Toolbox # Uses Levenberg-Marquardt under the hood # Allows you to input a vector of weights See <ht...

nonlinear curve-fitting: weight vector

nlinfit in Statistics Toolbox # Uses Levenberg-Marquardt under the hood # Allows you to input a vector of weights See <ht...

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data management for large datasets

Have you looked into the dataset array that ships with Statistics Toolbox? The dataset array is a special data type that can ...

data management for large datasets

Have you looked into the dataset array that ships with Statistics Toolbox? The dataset array is a special data type that can ...

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Regression

Try the following X = linspace(1, 2*pi, 50); X = X'; Y = sin(X) + randn(50,1); foo = fit(X,Y, 'sin1'); ...

Regression

Try the following X = linspace(1, 2*pi, 50); X = X'; Y = sin(X) + randn(50,1); foo = fit(X,Y, 'sin1'); ...

plus de 12 ans il y a | 1

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Multiple Regression under constraints

Lets start with the regression side of the problem: Given that you want to place constraints on your coefficients, you're goi...

Multiple Regression under constraints

Lets start with the regression side of the problem: Given that you want to place constraints on your coefficients, you're goi...

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Robust orthogonal or total least squares linear regression

Unfortunately, Statistics Toolbox doesn't currently offer a robust version of PCA. Your best option would probably be to us...

Robust orthogonal or total least squares linear regression

Unfortunately, Statistics Toolbox doesn't currently offer a robust version of PCA. Your best option would probably be to us...

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Histogram then a curve fitting to compare with normal

You might want to consult the following example: http://www.mathworks.com/products/statistics/demos.html?file=/products/demos...

Histogram then a curve fitting to compare with normal

You might want to consult the following example: http://www.mathworks.com/products/statistics/demos.html?file=/products/demos...

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Curve fitting - periodic function

Here's a pretty basic example X = linspace(0, 2*pi, 100); X = X'; Y = sin(X) + randn(100,1); foo = fit(X,Y, 's...

Curve fitting - periodic function

Here's a pretty basic example X = linspace(0, 2*pi, 100); X = X'; Y = sin(X) + randn(100,1); foo = fit(X,Y, 's...

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Poisson random number generator

Mark Steyvers has written a nice book titled "Computational Statistics with MATLAB" which can be downloaded from http://psiex...

Poisson random number generator

Mark Steyvers has written a nice book titled "Computational Statistics with MATLAB" which can be downloaded from http://psiex...

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Constraining a fitted curve

I'd strongly recommend that you look at a file exchange submission by John D'Errico titled "Shape Modeling Language" http://w...

Constraining a fitted curve

I'd strongly recommend that you look at a file exchange submission by John D'Errico titled "Shape Modeling Language" http://w...

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Curve fitting with fails misarebly

Couple comments: Curve Fitting Toolbox includes a lot of nice code that will automatically choose "good" starting points for ...

Curve fitting with fails misarebly

Couple comments: Curve Fitting Toolbox includes a lot of nice code that will automatically choose "good" starting points for ...

plus de 12 ans il y a | 1

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How to remove outliers?

Hi Michael MATLAB doesn't provide a specific function to remove outliers. In general you have a couple different options to ...

How to remove outliers?

Hi Michael MATLAB doesn't provide a specific function to remove outliers. In general you have a couple different options to ...

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normal distribution test

Statistics Toolbox offers a number of hypothesis tests that you can use to (formally) test whether your data is normally distrib...

normal distribution test

Statistics Toolbox offers a number of hypothesis tests that you can use to (formally) test whether your data is normally distrib...

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PCA princomp help please

There are some examples where Principal Component Analysis is used for regression. Traditional regression analysis assumes ...

PCA princomp help please

There are some examples where Principal Component Analysis is used for regression. Traditional regression analysis assumes ...

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How to use the outputs of the Stepwise function?

Hi John The stepwise function in Statistics Toolbox is used for liner regression. If you want to use a stepwise type alg...

How to use the outputs of the Stepwise function?

Hi John The stepwise function in Statistics Toolbox is used for liner regression. If you want to use a stepwise type alg...

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Perform sequential feature selection for classification of noisy features - code explanation

Hi Adrian I did a two part series on Loren Shure's blog contrasting feature selection techniques with regularization. The ar...

Perform sequential feature selection for classification of noisy features - code explanation

Hi Adrian I did a two part series on Loren Shure's blog contrasting feature selection techniques with regularization. The ar...

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Non-linear regression

For what its worth, I just took a very quick look at the data set that you provided. years = [1982 1983 1984 1985 1986 1987...

Non-linear regression

For what its worth, I just took a very quick look at the data set that you provided. years = [1982 1983 1984 1985 1986 1987...

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uncertainty and curve fitting

If you need confidence intervals nlinfit is a better option

uncertainty and curve fitting

If you need confidence intervals nlinfit is a better option

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Non-linear regression

I'd strongly suggestion that you watch a webinar titled "Electricity Load and Price Forecasting with MATLAB". The webinar is av...

Non-linear regression

I'd strongly suggestion that you watch a webinar titled "Electricity Load and Price Forecasting with MATLAB". The webinar is av...

plus de 12 ans il y a | 1

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Linear Regression - more weight on specific Bins of data

MathWorks tech support has a solution documenting various options for weighted regression. http://www.mathworks.com/support/s...

Linear Regression - more weight on specific Bins of data

MathWorks tech support has a solution documenting various options for weighted regression. http://www.mathworks.com/support/s...

plus de 12 ans il y a | 2

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how to deal with a missing value of a time series?

Hi Yoshiko The treatment of missing data is a fairly complicated topic. The choice of techniques to handle a missing data prob...

how to deal with a missing value of a time series?

Hi Yoshiko The treatment of missing data is a fairly complicated topic. The choice of techniques to handle a missing data prob...

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stats toolbox...fitting a curve to a plot in log log space

Question and a Comment First, the question: It's unclear whether you are trying to do a curve fit or a distribution fit. Yo...

stats toolbox...fitting a curve to a plot in log log space

Question and a Comment First, the question: It's unclear whether you are trying to do a curve fit or a distribution fit. Yo...

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Surface fitting tool, results accuracy

Offhand, I don't know any way to change the display within the tool itself. With this said and done, its fairly easy to 1. ...

Surface fitting tool, results accuracy

Offhand, I don't know any way to change the display within the tool itself. With this said and done, its fairly easy to 1. ...

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fitting a polynomial function to data points and ploting it

If you have Curve Fitting Toolbox, you can generate everything you need as follows X = 1:100; X = X'; Y = X.^2 + 3*X + 5 ...

fitting a polynomial function to data points and ploting it

If you have Curve Fitting Toolbox, you can generate everything you need as follows X = 1:100; X = X'; Y = X.^2 + 3*X + 5 ...

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SVM Regression

The SVM implementation in Bioinformatics Toolbox does not support Support Vector Regression. With this said and done, the boo...

SVM Regression

The SVM implementation in Bioinformatics Toolbox does not support Support Vector Regression. With this said and done, the boo...

presque 13 ans il y a | 0

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How to fit a curve with forced initial value

Hi Phillippe If you have Statistics Toolbox or Curve Fitting Toolbox its relatively easy to force this type of constraint. ...

How to fit a curve with forced initial value

Hi Phillippe If you have Statistics Toolbox or Curve Fitting Toolbox its relatively easy to force this type of constraint. ...

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