MATHWORKS . COM {}

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We are analyzing https://www.mathworks.com/help/stats/nlinfit.html.

Title:
nlinfit - Nonlinear regression - MATLAB
Description:
This MATLAB function returns a vector of estimated coefficients for the nonlinear regression of the responses in Y on the predictors in X using the model specified by modelfun.
Website Age:
35 years and 9 months (reg. 1989-10-03).

Matching Content Categories {📚}

Style & Fashion
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Content Management System {📝}

What CMS is mathworks.com built with?

Custom-built

No common CMS systems were detected on Mathworks.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of mathworks.com audience?

🌍 Impressive Traffic: 500k - 1M visitors per month

Based on our best estimate, this website will receive around 600,019 visitors per month in the current month.
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How Does Mathworks.com Make Money? {💸}

We see no obvious way the site makes money.

Not all websites are made for profit; some exist to inform or educate users. Or any other reason why people make websites. And this might be the case. Mathworks.com might be plotting its profit, but the way they're doing it isn't detectable yet.

Keywords {🔍}

model, error, function, weights, beta, regression, vector, nonlinear, coefficients, jacobian, estimated, observation, nlinfit, data, robust, constant, values, matrix, default, handle, arguments, scalar, fit, number, positive, output, weighted, residuals, mse, estimation, options, iterations, namevalue, modelfun, squares, algorithm, fitting, coefficient, fitted, errormodel, weight, input, returns, initial, parameters, combined, types, residual, estimates, tolerance,

Topics {✒️}

estimated variance-covariance matrix center community learning comma-separated pair consisting nonlinear regression function nonlinear regression model unweighted nonlinear regression weighted nonlinear regression version history introduced estimated regression coefficients nonconstant error model predicted response values examples collapse unit-variance variable levenberg-marquardt nonlinear estimated model jacobian fitted response values weighted jacobian matrix coefficient standard errors model fitted values model function jacobian observation weight matrix estimated coefficients 1e-8 american statistical association allowed error model fixed weights previously robust weight function error model information valid character vector pair argument weights robust fitting options robust fitting previously weights downweight outliers simultaneous prediction intervals algorithm control parameters hougen-watson model nonlinear regression error model parameters set observation weights observation weights function initial values produce error estimates real positive weights input argument combinations 'constant' error model full column rank pair argument errormodel reduce jacobian rank squares estimation algorithm error model fit large residual error

Questions {❓}

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Schema {🗺️}

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External Links {🔗}(3)

Analytics and Tracking {📊}

Crazy Egg
Facebook Pixel
Google Analytics
Google Tag Manager
Quantcast

Libraries {📚}

Bootstrap
jQuery
Lodash
Underscore.js

Emails and Hosting {✉️}

Mail Servers:

us-smtp-inbound-1.mimecast.com
us-smtp-inbound-2.mimecast.com

Name Servers:

ns-1482.awsdns-57.org
ns-1873.awsdns-42.co.uk
ns-362.awsdns-45.com
ns-582.awsdns-08.net

CDN Services {📦}

Treasuredata

4.81s.