arXiv (All)
open access
Goodness-of-fit test for count distributions with finite second moment
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. The test statistic is derived from the $L^1$ distance of a function of the probability generating function of the model under the null hypothesis and that of the random variable actually generating da
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Censoring heavy-tail count distributions for parameter estimation with an application to stable distributions#1116043
- The Count's Millions#213
- The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs#361440
- Introduction to mathematical statistics#490543
- EXPECTED NUMBER OF REAL ZEROS OF RANDOM POLYNOMIALS:GEOMETRIC APPROACH AND UNIVERSALITY#671581
Record · ID 1116037
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive