main webpage W Topic Statistics arXiv (Cornell University) Extended Fiducial Inference: Toward an Automated Process of Statistical Inference 2024 While fiducial inference was widely considered a big blunder by R.A. Fisher, the goal he initially set --`inferring the uncertainty of model parameters on the basis of observations' -- has been continually pursued by many statisticians. To this end, we develo… Article Open Statistics Open Article Page

Statistics

Study of collection and analysis of data Statistics (from German: Statistik , orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. Critical Symbolic Virtual Narrative Open Statistics Open Article Page

Exploring foci of: arXiv (Cornell University) Extended Fiducial Inference: Toward an Automated Process of Statistical Inference 2024 While fiducial inference was widely considered a big blunder by R.A. Fisher, the goal he initially set --`inferring the uncertainty of model parameters on the basis of observations' -- has been continually pursued by many statisticians. To this end, we develop a new statistical inference method called extended Fiducial inference (EFI). The new method achieves the goal of fiducial inference by leveraging advanced statistical computing techniques while remaining scalable for big data. EFI involves jointly imputing r… Open Article Page

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Explore Statistics W Topic Statistics arXiv (Cornell University) Extended Fiducial Inference: Toward an Automated Process of Statistical Inference 2024 While fiducial inference was widely considered a big blunder by R.A. Fisher, the goal he initially set --`inferring the uncertainty of model parameters on the basis of observations' -- has been continually pursued by many statisticians. To this end, we develo… Article Critical Symbolic Virtual Narrative Open Statistics Open Article Page