Corrigendum to “Threshold detection by fitting segmented regression models in Microsoft Excel” [MethodsX 15 (2025) 103573]

Authors

Angus M. Brown (ORCID: https://orcid.org/0000-0002-2903-324X)
Amy J. Hopper (ORCID: https://orcid.org/0000-0001-7127-1420)

Institutions

University of Nottingham (GB)
University of Washington (US)

Publication Details

Journal: MethodsX
Published: 2025-09-23
DOI: https://doi.org/10.1016/j.mex.2025.103636
Primary Topic: Anomaly Detection Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Corrigendum to “Threshold detection by fitting segmented regression models in Microsoft Excel” [MethodsX 15 (2025) 103573]

Angus M. Brown, Amy J. Hopper

Sep 23, 2025

MethodsX

Anomaly Detection Techniques and Applications

article

Corrigendum to “Threshold detection by fitting segmented regression models in Microsoft Excel” [MethodsX 15 (2025) 103573]

Angus M. Brown, Amy J. Hopper

September 23, 2025article en

Abstract

No abstract available for this paper.

MethodsXVol. 15

University of Nottingham (GB), University of Washington (US)

Openalex Percentile: Top 85%

Anomaly Detection Techniques and Applications

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Corrigendum to “Threshold detection by fitting segmented regression models in Microsoft Excel” [MethodsX 15 (2025) 103573] — Angus M. Brown, Amy J. Hopper · MethodsX (2025) | TGRS Research Map | TGRS