Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
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Updated
Aug 28, 2023 - R
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
Compute absolute goodness of fit via entropy estimation
Data for the reproducibility of Cuesta-Albertos et al. (2019)
Evaluating the probabilistic forecasts between competitive forecasters
Create graphical goodness of fit (GOF) diagnostics from MPNet/PNet output (simulated txt files)
Perform a chi-square goodness-of-fit test.
Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"
Simulation for the Implementation of a Virtual Queuing System in an Amusement Park
Detailed implementation of various regression analysis models and concepts on real dataset.
📉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.
One-sample Kolmogorov-Smirnov goodness-of-fit test.
Tests based on Chi-Square distribution using R.
Limited Information Goodness of Fit Tests for Binary Factor Models
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.
CLV prediction using Regression Analysis of customer invoice data for an online retail store
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…
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