Search Results - Random variables.

  1. Parameter estimation and selection efficiency under Bayesian and frequentist approaches in peach trials by Angelini, Julia, Bortolotto, Eugenia Belén, Faviere, Gabriela Soledad, Pairoba, Claudio Fabián, Valentini, Gabriel Hugo, Cervigni, Gerardo Domingo Lucio

    Published 2022
    “…In the Bayesian approach, the mean and the variance components were assumed to be random variables having a priori non-informative distributions with known parameters. …”
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    Artículo
  2. Degradation of soil microbiome and carbon dynamics in response to overgrazing in Austral wetland ecosystems by Toledo, Santiago, Diaz, Boris Gaston, Duarte Guardia, Sandra, Peri, Pablo Luis

    Published 2025
    “…Microbial efficiency declined with severe degradation, represented by low qCO₂ (0.13 µg.mg− 1) and high qMC values (1.35 %). Random Forest models identified bulk density, vegetation cover, soil N, and litter as key drivers of microbial and C-related processes. …”
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    Artículo
  3. Assessment of multi - date sentinel - 1 polarizations and GLCM texture features capacity for onion and sunflower classification in an irrigated valley: An object level approach by Caballero, Gabriel, Platzech, Gabriel, Pezzola, Nestor Alejandro, Casella, Alejandra An, Winschel, Cristina Ines, Silva, Samanta, Ludueña, Emilia, Pasqualotto, Nieves, Delegido, Jesús

    Published 2020
    “…The field samples database was used for training and supporting a supervised classification with two machine learning algorithms—Random Forest (RF) and Support Vector Machine (SVM)—obtaining high levels of accuracy in each case. …”
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  4. Genetic parameters for survival during the grow-out period in the GIFT strain of Nile tilapia (Oreochromis niloticus) and correlated response to selection for harvest weight by Hamzah, A., Mekkawy, Wagdy, Hooi Ling Khaw, Nguyen Hong Nguyen, Hoong Yip Yee, Abu Bakar, Khairul Rizal, Nor, S.A.M., Ponzoni, R.W.

    Published 2017
    “…The calculation of the probability of survival by spawning season and line, fitting a model that included the random effects of individual animal and common environment, confirmed this prediction. …”
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    Journal Article
  5. Next-generation hybrid precipitation forecasts that integrate Indigenous knowledge by Sutanto, S. J., Bosdijk, J., Benedict, I., Moene, A., Milosevic, D., Ludwig, Fulco, Paparrizos, S.

    Published 2025
    “…The best performance is achieved by combining two random forests (RFs) or a voting classifier and a RF. …”
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    Journal Article
  6. Molecular discrimination of lemon cultivars by Bernet, Guillermo P., Mestre, P. F., Pina, José A., Asins, María J.

    Published 2017
    “…Similar to clementines, polymerase chain reaction (PCR) markers using primers anchored in copya-like retrotransposons resulted in a higher rate of polymorphisms (36.4%) than did primers of random sequence (27.3%) or those anchored at simple sequence repeats (0%), indicating a higher molecular variability at the locations where these retrotransposons inserted. …”
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  7. Efectividad del teatro de títeres en un programa de desarrollo rural. by Suquilanda V., Manuel B., Alvarez Q., Moisés

    Published 2019
    “…The strategies were distributed at random among, six comniunit is in three different municipalities of the Integrated Rural Development Distric of Rionegro - Oriente Antioqueflo and the data was collected from the peasants, with three differents qucstionaircs, identified as participants in the program who attended the puppet theatre meetings. …”
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  8. Wood density proxies of adaptive traits linked with resistance to drought in Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) by Ruiz Diaz Britez, Manuela, Sergent, Anne Sophie, Martinez Meier, Alejandro, Bréda, Nathalie, Rozenberg, Philippe

    Published 2018
    “…Comparison between pairs of surviving and dead trees and between pairs of randomly selected trees (whether dead or alive) supports the evidence of systematic dissimilarities between surviving and dead trees in a number of original density variables. …”
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    Artículo
  9. Att restaurera forna tiders beståndsstruktur by Pahlén, Tina

    Published 2007
    “…Establishing the age of the current stand was done by random samples over the whole study area. The study of stand structure is also based on the data from four random 0,1 hectare plots. …”
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    Otro
  10. Caracterización morfológica, patogénica y genética del agente causal de la antracnosis (Colletotrichum gloeosporioides) en guanábana (Annona muricata) en el Valle del Cauca by Álvarez, E., Ospina, C.A., Mejía de los Ríos, J.F., Llano Rodríguez, Germán Alberto

    Published 2004
    “…The analysis of RAMs indicated high genetic variability among isolates and made it possible to detect a relationship among pathogenic variability - colony diameter with genetic variability. …”
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    Journal Article
  11. Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions by Quiróz, R., Posadas, A., Yarleque, C., Heidinger, Haline, Raymundo, R., Carbajal, M., Cruz, Mariana, Guerrero, J., Mares, V., Silvestre, Elisabeth, Jones, C., Carvalho, Leila M. V., Dinku, Tufa

    Published 2012
    “…Requirements for downscaled climate, to be useful for end users, include reliable representation of precipitation intensities, temporal and spatial variability, and physical parameters consistency. This report summarizes the results of the proof of concept phase in the development and testing of a novel data reconstruction method and a downscaling algorithm based on the multiplicative random cascade disaggregation method using rainfall signals at different spatial and temporal resolutions. …”
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    Artículo preliminar
  12. Near infrared spectroscopy for cooking time classification of cassava genotypes by Bandeira e Sousa, M., Morales, C. F. G., Mbanjo, E., Egesi, C., Oliveira, E.J.

    Published 2024
    “…Fifteen roots from five plants per plot, featuring diameters ranging from 4 to 7 cm, were randomly chosen for cooking analysis and spectral data collection. …”
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    Journal Article

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