Results 11 to 20 of about 3,902,333 (190)

Maximum Approximated Likelihood Estimation in Generalized Linear Multilevel Model for Nominal Response with Covariates Subject to Measurement Error [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2023
Ignoring measurement errors in generalized linear mixed models (GLMMs) as well as other regression models will inevitably lead to significant biases, deviations, and incorrect inferences in the estimation of the parameters. In the presence of measurement
Maryam Ahangari   +2 more
doaj   +1 more source

Rapid and High Throughput Hydroponics Phenotyping Method for Evaluating Chickpea Resistance to Phytophthora Root Rot

open access: yesPlants, 2023
Phytophthora root rot (PRR) is a major constraint to chickpea production in Australia. Management options for controlling the disease are limited to crop rotation and avoiding high risk paddocks for planting. Current Australian cultivars have partial PRR
Muhammad A. Asif   +7 more
doaj   +1 more source

Exactly Solvable Balanced Tenable Urns with Random Entries via the Analytic Methodology [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2012
This paper develops an analytic theory for the study of some Pólya urns with random rules. The idea is to extend the isomorphism theorem in Flajolet et al.
Basile Morcrette, Hosam M. Mahmoud
doaj   +1 more source

The Mixed Assessor Model and the multiplicative mixed model [PDF]

open access: yesFood Quality and Preference, 2019
Abstract A novel possibility for easy and open source based analysis of sensory profile data by a formal multiplicative mixed model (mumm) with fixed product effects and random assessor effects is presented by means of the generic statistical R-package mumm.
Pødenphant, Sofie   +3 more
openaire   +1 more source

Agronomic performance of modern soybean cultivars in multi-environment trials [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2017
: The objective of this work was to evaluate the productive performance, and the adaptability and stability parameters of modern soybean (Glycine max) cultivars in multi-environment trials, as well as to identify the ideal genotypes for eight growing ...
Gilvani Matei   +5 more
doaj   +1 more source

Stability, adaptability and shelf life of Cantaloupe melon hybrids [PDF]

open access: yesRevista Brasileira de Fruticultura, 2019
The adoption of melon hybrids by the productive sector necessitates a prior evaluation of the productivity, quality and shelf life of their fruits.
Lenilton Alex de Araújo Oliveira   +5 more
doaj   +1 more source

Meta-analysis of the effects of on-farm management strategies on milk yields of dairy cattle on smallholder farms in the Tropics

open access: yesAnimal, 2020
Although East Africa is home to one of the most advanced dairy industries in Sub-Saharan Africa, regional annual milk production is insufficient to meet the demand.
C.A. Bateki   +4 more
doaj   +1 more source

Likelihood Function through the Delta Approximation in Mixed SDE Models

open access: yesMathematics, 2022
Stochastic differential equations (SDE) appropriately describe a variety of phenomena occurring in random environments, such as the growth dynamics of individual animals.
Nelson T. Jamba   +3 more
doaj   +1 more source

Model-based small area estimation with no samples within the areas, by benchmarking to marginal cross-sectional and time-series estimates

open access: yesStatistical Theory and Related Fields, 2020
Official monthly U.S. labour force estimation at the sub-State level (mostly counties) is based on what is known as the ‘Handbook’ (HB) method, one of the earliest uses of administrative data for small area estimation.
Danny Pfeffermann   +3 more
doaj   +1 more source

mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data [PDF]

open access: yes, 2020
We present the R-package mgm for the estimation of k-order Mixed Graphical Models (MGMs) and mixed Vector Autoregressive (mVAR) models in high-dimensional data. These are a useful extensions of graphical models for only one variable type, since data sets
Haslbeck, Jonas M. B.   +1 more
core   +3 more sources

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