Results 41 to 50 of about 6,446,441 (278)

Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]

, 2007
This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
MOLINA ISABEL, Pratesi, Monica, Molina, Isabel, Isabel Molina, Nicola Salvati, Monica Pratesi, Salvati, Nicola   +6 more
core   +1 more source

Best linear unbiased estimation for varying probability with and without replacement sampling

Special Matrices, 2019
When sample survey data with complex design (stratification, clustering, unequal selection or inclusion probabilities, and weighting) are used for linear models, estimation of model parameters and their covariance matrices becomes complicated.
Haslett Stephen
doaj   +1 more source

Comprehensive In Vitro Profiling Demonstrates Successful Immune Evasion of Bioengineered Immune‐Shielded Heart Valves

Advanced Healthcare Materials, EarlyView.
Living donor heart valves offer superior durability for pediatric patients but trigger immune rejection. Lentiviral delivery of viral immune‐evasion genes US2 and Serpin b9 into donor valve cells and valve tissue suppresses HLA expression, reduces PBMC clustering and cytotoxic killing, and induces transcriptional immune‐tolerance programs, paving the ...
Abraham van Wijk, Leanne Van den Berg, Isa B. M. Velraeds, Valentina Osorio Zuluaga, Emma T. M. Peereboom, Martijn J. W. E. Rabelink, Arnaud Zaldumbide, Rob C. Hoeben, Marie‐Jose T. H. Goumans, Eric Spierings, Carlijn V. C. Bouten, Marijn C. Peters   +11 more
wiley   +1 more source

On Least Squares and Best Linear Unbiased Estimation [PDF]

, 1989
27 pages, 1 article*On Least Squares and Best Linear Unbiased Estimation* (Searle, Shayle R.; Pukelsheim, Friedrich) 27 ...
Searle, Shayle R., Cornell University. Dept. of Biological Statistics and Computational Biology., Pukelsheim, Friedrich, Cornell University. Biometrics Unit., Cornell University. Dept. of Biometrics.   +4 more
core   +6 more sources

Selection of Artemisia annua genotypes based on agronomic traits [PDF]

Pesquisa Agropecuária Brasileira
The objective of this work was to select Artemisia annua genotypes based on the agronomic characteristics of half-sib families. The experiment consisted of 24 treatments, of which 23 with half-sib families of A.
Lucas Vinícius Dallacorte, Glauco Vieira Miranda, Ílio Montanari Junior, Alexia Kozelinski, Giovani Benin, José Abramo Marchese   +5 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Phenotypic evaluation to determine genetic merit in feijoa fruits

Pesquisa Agropecuária Brasileira
The objective of this work was to determine the viability of visual phenotypic evaluation to rank feijoa (Feijoa sellowiana) genotypes. A group of 59 feijoa genotypes was evaluated for length, diameter, and ellipsoid volume, as well as through a visual ...
Kelen Haygert Lencina, Ingrid Maira de Freitas, Enzo Gonçalves Luciano, Vinicius Éric de Almeida, Gabriela da Silva Messias, Karine Louise dos Santos, Rita Carolina de Melo   +6 more
doaj   +1 more source

Selection in sugarcane families with artificial neural networks [PDF]

Crop Breeding and Applied Biotechnology, 2015
The objective of this study was to evaluate Artificial Neural Networks (ANN) applied in an selection process within sugarcane families. The best ANN model produced no mistake, but was able to classify all genotypes correctly, i.e., the network made the ...
Bruno Portela Brasileiro, Caillet Dornelles Marinho, Paulo Mafra de Almeida Costa, Cosme Damião Cruz, Luiz Alexandre Peternelli, Márcio Henrique Pereira Barbosa   +5 more
doaj   +1 more source

Nonparametric Spline Truncated Regression with Knot Point Selection Method Generalized Cross Validation and Unbiased Risk

JTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Nonparametric regression approaches are used when the shape of the regression curve between the response variable and the predictor variable is assumed to be unknown. Nonparametric excess regression has high flexibility.
Tutik Handayani, Sifriyani Sifriyani, Andrea Tri Rian Dani   +2 more
doaj   +1 more source

An accurate prediction of maize crosses using diallel analysis and best linear unbiased predictor (BLUP) [PDF]

Chilean journal of agricultural research, 2016
A major obstacle in corn (Zea mays L.) breeding programs is how to obtain strains which, when combined, ensure increased productivity in all crop characteristics. Therefore, the objective of this study was to evaluate the prediction efficiency of hybrid maize using diallel analysis and the best linear unbiased predictor (BLUP).
Oliveira, Gustavo H. F., Buzinaro, Rodolfo, Revolti, Lucas T. M., Giorgenon, Carlos H. B., Charnai, Kaue, Resende, Diego, Moro, Gustavo V.   +6 more
openaire   +3 more sources