query: How to fit a gaussian curve to data for a goodness-of-fit C++?
positive_passages.docid: 145477
positive_passages.text: Is Shapiro–Wilk the best normality test? Why might it be better than other tests like Anderson-Darling?
negative_passages.docid: 15523
negative_passages.text: Graphically approximating the area under a curve as a sum of rectangular regions
negative_passages.docid: 129771
negative_passages.text: Reparametrization trick with non-Gaussian distributions?
negative_passages.docid: 111400
negative_passages.text: Fit exponential distribution with noise
negative_passages.docid: 80172
negative_passages.text: Gaussian/Normal plots from a data distribution in scientific notation
negative_passages.docid: 52136
negative_passages.text: Linear regression with Laplace errors
negative_passages.docid: 133207
negative_passages.text: Integration with half-space Gaussian
negative_passages.docid: 137103
negative_passages.text: Random Gaussian Variables
negative_passages.docid: 131757
negative_passages.text: Power law fitting of data with uncertainties
negative_passages.docid: 91200
negative_passages.text: Fitting polynomial model to data in R
negative_passages.docid: 75845
negative_passages.text: Estimating Uniform distribution endpoints using data with errors
negative_passages.docid: 154178
negative_passages.text: Performing a chi-square goodness of fit test
negative_passages.docid: 92049
negative_passages.text: How do I plot a parametric family of curves given a list of parameter values?
negative_passages.docid: 85162
negative_passages.text: Array Modifier - Fit Curve too short
negative_passages.docid: 63339
negative_passages.text: Creating a Gaussian Random Generator with a mean and standard deviation
negative_passages.docid: 140395
negative_passages.text: Fit data with linear combinations of Cos and Sin
negative_passages.docid: 52094
negative_passages.text: How do I calculate a confidence interval for the mean of a log-normal data set?