Pith Number

pith:NAKXFR47

pith:2026:NAKXFR47ROMRUZ7WENHKNUKRTZ

not attested not anchored not stored refs pending

From design of experiments to analysis of variance of multivariate data: a tutorial review on ANOVA simultaneous component analysis

Daniel Schorn-Garc\'ia, Johan A. Westerhuis, Jokin Ezenarro, Jos\'e Camacho

ASCA extends ANOVA to multivariate high-dimensional data from designed experiments.

arxiv:2604.19265 v2 · 2026-04-21 · stat.ME

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{NAKXFR47ROMRUZ7WENHKNUKRTZ}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

ASCA is the current state-of-the-art chemometric tool for analyzing and interpreting high-dimensional experimental data from a Design of Experiment (DoE).

C2weakest assumption

The recommendations are grounded in a comprehensive literature review and illustrated through a guiding example that accurately reflects current best practices in the field.

C3one line summary

ASCA extends ANOVA to multivariate DoE data, and the paper recommends best practices grounded in a century of theory and illustrated by example.

Receipt and verification

First computed	2026-05-20T01:05:14.018716Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

681572c79f8b991a67f6234ea6d1519e703c8ccb2245dcc236f23470d3dd4467

Aliases

arxiv: 2604.19265 · arxiv_version: 2604.19265v2 · doi: 10.48550/arxiv.2604.19265 · pith_short_12: NAKXFR47ROMR · pith_short_16: NAKXFR47ROMRUZ7W · pith_short_8: NAKXFR47

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NAKXFR47ROMRUZ7WENHKNUKRTZ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 681572c79f8b991a67f6234ea6d1519e703c8ccb2245dcc236f23470d3dd4467

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "99d015618b3fc0427aecbaa2231bafe31e9f7c39d681fb3c4438981458f15a21",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-04-21T09:28:45Z",
    "title_canon_sha256": "fab226a69e1e2ca3ee04a4eecfcf1936249c64d1a1187860a8051ecf7436baad"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.19265",
    "kind": "arxiv",
    "version": 2
  }
}