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Python curve fitting using MLE and obtaining standard errors for parameter estimates

Unveiling the Secrets of Your Data Curve Fitting with Maximum Likelihood Estimation and Error Analysis in Python Ever wondered how to fit a curve to your data a

3 min read 05-10-2024 60
Python curve fitting using MLE and obtaining standard errors for parameter estimates
Python curve fitting using MLE and obtaining standard errors for parameter estimates

bootstrap for model estimation with a created function

Bootstrap for Model Estimation Using a Custom Function In statistics model estimation is crucial for making predictions and understanding relationships within d

3 min read 14-09-2024 69
bootstrap for model estimation with a created function
bootstrap for model estimation with a created function

R: Error "incorrect number of subscripts on matrix" when trying boot with roc

Demystifying the incorrect number of subscripts on matrix Error in Rs boot Function This article dives into a common error encountered when using the boot funct

2 min read 06-09-2024 56
R: Error "incorrect number of subscripts on matrix" when trying boot with roc
R: Error "incorrect number of subscripts on matrix" when trying boot with roc

About bootstrap method in roc() for pROC package in R

Understanding the Bootstrap Method in roc for the p ROC Package in R The p ROC package in R is a powerful tool for analyzing and visualizing Receiver Operating

2 min read 05-09-2024 61
About bootstrap method in roc() for pROC package in R
About bootstrap method in roc() for pROC package in R

How to find the number of samples that are picked in each boostrap of stratified bootstrap in pROC?

Unveiling the Secrets of Stratified Bootstrapping in p ROCs ROC Curve Confidence Intervals The p ROC package in R is a powerful tool for analyzing and visualizi

2 min read 31-08-2024 58
How to find the number of samples that are picked in each boostrap of stratified bootstrap in pROC?
How to find the number of samples that are picked in each boostrap of stratified bootstrap in pROC?

How to generate a bootstrap standard error, t statistics and p value for a user written dynamic panel quantile regression

Bootstrapping Standard Errors for Dynamic Panel Quantile Regression in R This article will delve into the process of generating bootstrap standard errors t stat

3 min read 31-08-2024 73
How to generate a bootstrap standard error, t statistics and p value for a user written dynamic panel quantile regression
How to generate a bootstrap standard error, t statistics and p value for a user written dynamic panel quantile regression