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Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufälliger Vektoren

https://doi.org/10.1007/bf02614243
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119243830.ch12openalex-snapshot
Testing Statistical Hypotheses
inferredcites →https://doi.org/10.1007/bf02613721openalex-snapshot
Ein kombiniertes test & klassifikations-problem
inferredcites →https://doi.org/10.1214/aoms/1177730030openalex-snapshot
Statistical Decision Functions
inferredcites →https://doi.org/10.2307/2528096openalex-snapshot
A Method for Cluster Analysis
inferredcites →https://doi.org/10.2307/2528417openalex-snapshot
A Comparison of Some Methods of Cluster Analysis
inferredcites →https://doi.org/10.2307/2980980openalex-snapshot
Statistical Decision Functions.
inferredcites →https://doi.org/10.2307/2987419openalex-snapshot
Testing Statistical Hypotheses.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-642-18991-3_17openalex-snapshot
Two-Way Clustering for Contingency Tables: Maximizing a Dependence Measure
inferred← citeshttps://doi.org/10.1007/978-3-642-69024-2_26openalex-snapshot
Significance Tests for Clusters: Overview and Comments
inferred← citeshttps://doi.org/10.1007/978-3-642-75040-3_2openalex-snapshot
Probabilistic Aspects in Cluster Analysis
inferred← citeshttps://doi.org/10.1007/978-4-431-65950-1_1openalex-snapshot
Probabilistic Aspects in Classification
inferred← citeshttps://doi.org/10.1007/978-94-011-0800-3_4openalex-snapshot
Information and Entropy in Cluster Analysis
inferred← citeshttps://doi.org/10.1007/bf01719499openalex-snapshot
Clusteranalyse — Überblick und neuere Entwicklungen
inferred← citeshttps://doi.org/10.1007/bf01908065openalex-snapshot
On some significance tests in cluster analysis
inferred← citeshttps://doi.org/10.1007/bf01908080openalex-snapshot
On some significance tests in cluster analysis
inferred← citeshttps://doi.org/10.1007/bf02296404openalex-snapshot
Clustering N Objects into K Groups under Optimal Scaling of Variables
inferred← citeshttps://doi.org/10.1007/s11634-009-0040-0openalex-snapshot
Editorial
inferred← citeshttps://doi.org/10.1016/0167-9473(94)90085-xopenalex-snapshot
Identifying genuine clusters in a classification
inferred← citeshttps://doi.org/10.1016/b0-08-043076-7/00400-9openalex-snapshot
Statistical Clustering
inferred← citeshttps://doi.org/10.1016/b978-0-08-097086-8.42176-8openalex-snapshot
Statistical Clustering
inferred← citeshttps://doi.org/10.1016/j.jmva.2013.01.013openalex-snapshot
Strong consistency of k -parameters clustering
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.