Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing

Saved in:
Bibliographic Details
Published in:Journal of Agricultural, Biological & Environmental Statistics
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553707480678400
collection WordPress RSS
FRELIP Feed Integration
container_title Journal of Agricultural, Biological & Environmental Statistics
description
discipline_display Agriculture
discipline_facet Agriculture
format Online Article
RSS Article
genre Journal Article
id rss_article:84702
institution FRELIP
journal_source_facet Journal of Agricultural, Biological & Environmental Statistics
last_indexed 2026-06-20T21:41:14.952Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
Agriculture
General
Agriculture
sub_discipline_display General
sub_discipline_facet General
subject_display Agriculture
General
Agriculture
subject_facet Agriculture
General
Agriculture
title Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_alt Aumento de potencia al controlar pruebas de hipótesis múltiples con datos climáticos mediante suavizado de covariables
Augmentation de la puissance lors du contrôle de tests d'hypothèses multiples avec des données climatiques via le lissage de covariables
Aumentando o Poder ao Controlar Testes de Múltiplas Hipóteses com Dados Climáticos via Suavização de Covariáveis
title_auth Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_es_txt Aumento de potencia al controlar pruebas de hipótesis múltiples con datos climáticos mediante suavizado de covariables
title_fr_txt Augmentation de la puissance lors du contrôle de tests d'hypothèses multiples avec des données climatiques via le lissage de covariables
title_full Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_fullStr Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_full_unstemmed Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_pt_txt Aumentando o Poder ao Controlar Testes de Múltiplas Hipóteses com Dados Climáticos via Suavização de Covariáveis
title_short Increasing Power When Controlling Multiple Hypothesis Testing with Climate Data via Covariate Smoothing
title_sort increasing power when controlling multiple hypothesis testing with climate data via covariate smoothing
topic Agriculture
General
Agriculture
url https://link.springer.com/article/10.1007/s13253-026-00738-5