Evidence map›Paper›PMID 35757588›Full record

ArticleJournal of applied statistics2022

A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil.

J C S Vasconcelos, E M M Ortega, J S Vasconcelos, G M Cordeiro, A L Vivan, M A M Biaggioni

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied statistics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

J C S VasconcelosESALQ, Universidade de São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0001-6794-3175
E M M OrtegaESALQ, Universidade de São Paulo, Piracicaba, Brazil.ORCID https://orcid.org/0000-0003-3999-7402
J S VasconcelosFaculdade de Ciências Agronômicas, UNESP, Botucatu, Brazil.ORCID https://orcid.org/0000-0002-3305-0384
G M CordeiroUFPE, Universidade Federal de Pernambuco, Recife, Brazil.ORCID https://orcid.org/0000-0002-3052-6551
A L VivanUNIFEI, Universidade Federal de Itajubá, Itajubá, Brazil.ORCID https://orcid.org/0000-0002-3744-7813
M A M BiaggioniFaculdade de Ciências Agronômicas, UNESP, Botucatu, Brazil.ORCID https://orcid.org/0000-0003-2853-9932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A heteroscedastic regression based on the odd log-logistic Marshall-Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter settings, sample sizes and some scenarios, various simulations investigate the performance of the heteroscedastic OLLMON regression. We use residual analysis to detect influential observations and to check the model assumptions. The new regression explains the mass loss of different wood species in civil construction in Brazil.

Indexed as

Carbonization in buildingheteroscedastic regressionlignocellulosic mass lossMarshall–Olkin familyregression model

Identifiers

PMID35757588
PMCPMC9225232

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.