Results 91 to 100 of about 3,902,333 (190)
Genetic divergence and parent selection of sugarcane clones
Crop Breeding and Applied Biotechnology, 2008 The objective of this study was to estimate the genetic divergence of 140 sugarcane clones of the series RB97, in phase T3 of the Sugarcane Genetic Improvement Program of the Universidade Federal do Paraná, at three locations by multivariate analysis ...
Valéria Rosa Lopes +5 more
doaj
Crop Breeding and Applied Biotechnology, 2008 The aim of this study was to compare REML/BLUP and Least Square procedures in the prediction and estimation of genetic parameters and breeding values in soybean progenies, F>.; and F 4.5 progenies were evaluated in the 2005/06 growing season and the Fy.4
Agnaldo Donizete Ferreira de Carvalho +2 more
doaj
Chow-Lin Methods in Spatial Mixed Models [PDF]
Missing data in dynamic panel models occur quite often since detailed recording of the dependent variable is often not possible at all observation points in time and space.
Carlos Llano +2 more
core
Be-Breeder: an R/Shiny application for phenotypic data analyses in plant breeding
Crop Breeding and Applied Biotechnology, 2018 In order to successfully achieve the final goal of genotype selection in plant breeding programs, many aspects must be considered and carefully thought regarding cost, time, and efficiency.
Filipe Inácio Matias +2 more
doaj
The MIDAS Touch: Mixed Data Sampling Regression Models [PDF]
We introduce Mixed Data Sampling (henceforth MIDAS) regression models. The regressions involve time series data sampled at different frequencies. Technically speaking MIDAS models specify conditional expectations as a distributed lag of regressors ...
Eric Ghysels +2 more
core
, 2015 Hier wordt de lezer systematische geleid van de t-toets, ANOVA, ANCOVA naar Mixed Model. Elk model wordt met een analyse van gegevens geillustreerd.
openaire
Corrigendum: A Review of R-packages for Random-Intercept Probit Regression in Small Clusters
Frontiers in Applied Mathematics and Statistics, 2017 Haeike Josephy, Tom Loeys, Yves Rosseel
doaj +1 more source
Multivariate mixed models accounting for don't know options in ordinal data. [PDF]
J R Stat Soc Ser A Stat SocGueorguieva R, Iannario M.
europepmc +1 more source
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models. [PDF]
R J, 2023 Heiling HM, Rashid NU, Li Q, Ibrahim JG.
europepmc +1 more source
Network analysis of longitudinal electronic health records using linear mixed models. [PDF]
BioData MinVargas-Fernández M +3 more
europepmc +1 more source