{"id":19534427,"url":"https://github.com/turkunov/pem-test","last_synced_at":"2026-05-16T19:04:58.856Z","repository":{"id":57690732,"uuid":"494752899","full_name":"turkunov/pem-test","owner":"turkunov","description":"Goodness-Of-Fit test for normality based on elimination of parameters","archived":false,"fork":false,"pushed_at":"2022-05-29T08:56:11.000Z","size":35,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-29T14:39:45.329Z","etag":null,"topics":["normality-test","python","statistics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/turkunov.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-05-21T10:36:14.000Z","updated_at":"2024-05-20T08:57:55.000Z","dependencies_parsed_at":"2022-09-26T20:52:44.257Z","dependency_job_id":null,"html_url":"https://github.com/turkunov/pem-test","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/turkunov/pem-test","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/turkunov%2Fpem-test","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/turkunov%2Fpem-test/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/turkunov%2Fpem-test/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/turkunov%2Fpem-test/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/turkunov","download_url":"https://codeload.github.com/turkunov/pem-test/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/turkunov%2Fpem-test/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33115437,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-16T18:38:32.183Z","status":"ssl_error","status_checked_at":"2026-05-16T18:38:29.903Z","response_time":115,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["normality-test","python","statistics"],"created_at":"2024-11-11T02:14:19.754Z","updated_at":"2026-05-16T19:04:58.816Z","avatar_url":"https://github.com/turkunov.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PEM test library\n\n### Installation\n```py\npip install pemtest\n```\n\n### What is PEM test?\n\u003e When performing data analysis, sometimes people come across a problem of checking null hypothesis for normality without knowing parameters of the distribution. \nIn this case we should use tests like \"Parameters Elimination Method\". PEM test allows us to get rid of `mu` and `sigma` and move from performing a test for normality to \nperforming a test for uniform distribution with parameters 0, 1.\n\n### Looks hard. Will there be any further explanation?\n\u003e Yes. You can read full documentation on the algorithm based on PEM test **[here](https://github.com/turkunov/pem-test/blob/main/algorithm_documentation.ipynb)**.\n\n### Are there any examples?\n\u003e Yes, here's an interactive notebook with examples: https://colab.research.google.com/drive/15SR2hJpejqQ8G-I0SXk-WZMZUpsbUdAC?usp=sharing\n\n### Who is the author of this algorithm?\n\u003e [turkunov @ Github](https://github.com/turkunov) (me). The algorithm is based on the research done by Sarkadi K. in \"On testing for normality\" (1960) [p. 269-275].\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fturkunov%2Fpem-test","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fturkunov%2Fpem-test","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fturkunov%2Fpem-test/lists"}