Data for the reproducibility of Cuesta-Albertos et al. (2019)
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Updated
Jan 9, 2021 - R
Data for the reproducibility of Cuesta-Albertos et al. (2019)
Evaluating the probabilistic forecasts between competitive forecasters
📉HealthCare Dataset Statistical Analysis, Statistical Inference course, University of Tehran
In this we have taken a sample data to check if that data follows normal distribution or not. A hypothesis test is performed to check this using the chi-square test pf goodness of fit.
Create graphical goodness of fit (GOF) diagnostics from MPNet/PNet output (simulated txt files)
Simulation for the Implementation of a Virtual Queuing System in an Amusement Park
Limited Information Goodness of Fit Tests for Binary Factor Models
In statistics, D'Agostino's K2 test, named for Ralph D'Agostino, is a goodness-of-fit measure of departure from normality, that is the test aims to establish whether or not the given sample comes from a normally distributed population. The test is based on transformations of the sample kurtosis and skewness, and has power only against the altern…
Goodness-of-fit test for Poisson Distribution
Fixed-point algorithms for solving the critical value and upper tail quantile of Kuiper's statistics
This Excel Workbook repository explores the following skills: scatterplots, trend-line equation, linear regression, multiple regression equation, interpret the s standard error of estimate se and R2, and estimated fit of the equation.
A Simple Python Module for chi^2 Goodness-of-fit Test
In this code, we will determine that whether the frequency by which car arrives as per our dataset follows a posison distribution or not using the chi-Square test.
Statistical Modelling of Swine Flu Outbreak Data
Implementation of various models for contingency table analysis
Score-based Hypothesis Testing for Unnormalized Models
Stats HW chat bot that solves chi-square problems involving goodness of fit, homogeneity, or independence
Hypothesis for Data Science
Tests based on Chi-Square distribution using R.
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