Search Results - "linear regression"

  1. 41
  2. 42

    Contamination of Fresh Produce by Microbial Indicators on Farms and in Packing Facilities: Elucidation of Environmental Routes by Bartz, Faith E., Lickness, Jacquelyn Sunshine, Heredia, Norma, Fabiszewski de Aceituno, Anna, Newman, Kira L., Hodge, Domonique Watson, Jaykus, Lee-Ann, García, Santos, Leon, Juan S., Dozois, Charles M.

    Published 2017
    “…Statistical measures of association and correlations were calculated through Spearman’s correlation, linear regression, and logistic regression models. The concentrations of all microbial indicators were positively correlated between produce and hands ( � range, 0.41 to 0.75; P � 0.01). …”
    Get full text
    Article
  3. 43

    Tecnología de información & productividad en América latina (Information technology & production in Latin America) by Neira Tovar, Leticia A.

    Published 2004
    “…The postulated relationship between IT and country productivity is examined using a linear regression method.…”
    Get full text
    Article
  4. 44

    Pérdidas por intercepción en cuatro especies del matorral en Linares, N. L. by Tamez Ponce, Cuauhtemoc

    Published 2018
    “…The results for Acacia farnsesiana, Condalia hookeri, Leucaena leucocephala and Casemiroa greggii, for throughfall, showed values of 77, 73, 85 and 82%, respectively; while the component of the stemflow oscillated of 1.8% for Acacia farnesiana to 1.33% for Condalia hookeri. Linear regression analyzes between gross precipitation and interception loss for four species, showed values of 14, 16, 21 and 25% for Leucaena leucocephala, Casemiroa greggii, Acacia farnesiana, and Condalia hookeri, respectively, being these key species when making management decisions on the water yield in a basin, rejecting this hypothesis and concluding that people by interception differ among the evaluated species.…”
    Get full text
    Tesis
  5. 45

    Pérdidas por intercepción en cuatro especies del matorral en Linares, N. L. by Tamez Ponce, Cuauhtemoc

    Published 2018
    “…The results for Acacia farnsesiana, Condalia hookeri, Leucaena leucocephala and Casemiroa greggii, for throughfall, showed values of 77, 73, 85 and 82%, respectively; while the component of the stemflow oscillated of 1.8% for Acacia farnesiana to 1.33% for Condalia hookeri. Linear regression analyzes between gross precipitation and interception loss for four species, showed values of 14, 16, 21 and 25% for Leucaena leucocephala, Casemiroa greggii, Acacia farnesiana, and Condalia hookeri, respectively, being these key species when making management decisions on the water yield in a basin, rejecting this hypothesis and concluding that people by interception differ among the evaluated species.…”
    Get full text
    Tesis
  6. 46
  7. 47
  8. 48
  9. 49
  10. 50

    Pérdidas por intercepción en un bosque de Pinus cooperii C.E. blanco en la región de “El Salto” Durango. by Nava Moreno, Marco Antonio

    Published 2018
    “…The detailed analysis of 59 events showed a stemflow of 6.38 mm and a total interception loss of 312.61 mm during the sampling period. The linear regression analysis developed between the incident precipitation and interception loss showed a coefficient of determination of R2 = 0.5103 showing 18% of interception loss for this canopy cover.…”
    Get full text
    Tesis
  11. 51

    Pérdidas por intercepción en un bosque de Pinus cooperii C.E. blanco en la región de “El Salto” Durango. by Nava Moreno, Marco Antonio

    Published 2018
    “…The detailed analysis of 59 events showed a stemflow of 6.38 mm and a total interception loss of 312.61 mm during the sampling period. The linear regression analysis developed between the incident precipitation and interception loss showed a coefficient of determination of R2 = 0.5103 showing 18% of interception loss for this canopy cover.…”
    Get full text
    Tesis
  12. 52
  13. 53
  14. 54

    Factores mercadológicos utilizados por las organizaciones de producción cinematográfica mexicanas (OPCM) y su impacto en los ingresos en taquilla: caso de estudio Área Metropoli... by Lozano Treviño, David Fernando, Barragán Codina, José Nicolás, Guerra Moya, Sergio Armando, Villalpando Cadena, Paula, Treviño Ayala, María Eloísa, Puerco de León, José Luis

    Published 2012
    “…We study in detail the marketing main factors used by the OPCM: advertising, critics, talent, recommendations and availability in theaters; and through the application of a poll and a linear regression analysis, we determine the impact of these on box office revenues. …”
    Get full text
    Article
  15. 55

    Diagrama de manejo de densidad para bosques naturales en “R Project”, como herramienta de decisión en el manejo forestal by Acevedo Benitez, Fátima del Carmen

    Published 2017
    “…The Diagram was developed with two base equations, representing the mean square diameter dg and Volume V, and the Hart spacing index, in order to be used as a reference in the short planning, the base equations were adjusted through The non-linear regression in the statistical software "R project", through an iterative process, expecting a positive convergence, the simultaneous adjustment of the equations was performed by the FIML method, in the statistical software SAS obtaining a R2: 0.7074, RMSE: 2.7563 for the equation of dg and R2: 0.9947, RMSE: 7.9114 for Volume. …”
    Get full text
    Tesis
  16. 56

    Evaluation of vitamin D serum levels in asthmatic adults and their relationship with asthma control by González Díaz, Sandra Nora, Arias Cruz, Alfredo, Villarreal Pérez, Jesús Zacarías, Sánchez Guerra, Daniel, Monge Ortega, Olga Patricia

    Published 2018
    “…Multiple logistic and multiple linear regression multivariate analyses of variance were performed; a p-value ≤ 0.05 was considered to be statistically signifi cant. …”
    Get full text
    Article
  17. 57

    Diagrama de manejo de densidad para bosques naturales en “R Project”, como herramienta de decisión en el manejo forestal by Acevedo Benitez, Fátima del Carmen

    Published 2017
    “…The Diagram was developed with two base equations, representing the mean square diameter dg and Volume V, and the Hart spacing index, in order to be used as a reference in the short planning, the base equations were adjusted through The non-linear regression in the statistical software "R project", through an iterative process, expecting a positive convergence, the simultaneous adjustment of the equations was performed by the FIML method, in the statistical software SAS obtaining a R2: 0.7074, RMSE: 2.7563 for the equation of dg and R2: 0.9947, RMSE: 7.9114 for Volume. …”
    Get full text
    Tesis
  18. 58
  19. 59
  20. 60

Search Tools: