Buscar
Mostrando ítems 31-40 de 557
Accuracy of genomic predictions using different imputation error rates in aquaculture breeding programs: A simulation study
(Elsevier B.V., 2019)
In breeding programs, genetic evaluations can be performed using phenotypic information from the selection candidates per se or from relatives to obtain breeding values (EBV) by the traditional method known as the Best ...
Data imputation analysis for Cosmic Rays time series
(Elsevier, 2020)
INCOME NONRESPONSE AND INEQUALITY MEASUREMENT
(ILADES - Universidad Alberto Hurtado., 2010)
Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy
(Sociedad de Biología de Chile, 2005)
Longitudinal studies aimed at evaluating patients clinical response to specific therapeutic treatments are frequently summarized in incomplete datasets due to missing data. Multivariate statistical procedures use only ...
IMPUTATION USING THE SINGULAR VALUE DECOMPOSITION: VARIANTS OF EXISTING METHODS, PROPOSED AND ASSESSEDIMPUTACIÓN UTILIZANDO LA DESCOMPOSICIÓN EN VALOR SINGULAR: VARIANTES DE MÉTODOS EXISTENTES, PROPUESTAS Y EVALUADAS
(International Journal of Innovative Computing, Information and Control ICIC International, 2020)
Complete data matrices are required for some statistical analysis techniques, making imputation of missing data necessary in certain circumstances. The Krzanowski imputation system is based on singular value decomposition ...
Anomalous values and missing data in clinical and experimental studiesValores anômalos e dados faltantes em estudos clínicos e experimentais
(2019-01-01)
During analysis of scientific research data, it is customary to encounter anomalous values or missing data. Anomalous values can be the result of errors of recording, typing, measurement by instruments, or may be true ...
Accuracy of genotype imputation in Nelore cattle
(Biomed Central Ltd, 2015)
Missing-value imputation using the robust singular-value decomposition: Proposals and numerical evaluationImputación de valores faltantes usando la descomposición robusta en valores singulares: Propuestas y evaluación numérica
(Crop Science, 26/03/2021)
A common problem in the analysis of data from multi-environment trials is imbalance caused by missing observations. To get around this problem, Yan proposed a method for imputing the missing values based on the singular-value ...
Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
(2013)
To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles ...
Métodos de estimação baseados em modelos na presença de dados faltantes
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-10-14)
The missing data are observations that should have been made, but were not for some reason,
thus reducing the ability to understand the nature of the phenomenon, in addition to making it
difficult to extract information ...