1,723,102 research outputs found

    Entrevista a la Dra. en Ciencias Exactas (UNLP) Natalia Ranalli sobre su tesis doctoral: "Innovaciones para la elaboración de productos lácteos azucarados saludables tipo dulce de leche"

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    La Dra. en Ciencias Exactas (Química) de la UNLP Natalia Ranalli, en el programa Radiofotos de FM 107.5 Radio Universidad, dialoga con el periodista Marcos Clavellino y explica el contenido de su tesis doctoral para que los oyentes puedan conocer su investigación.Edición de entrevista en vivo realizada durante transmisión de exteriores.Radio Universidad Nacional de La Plat

    Non parametric regression model-assisted estimation for finite environmental populations

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    Survey of lakes or streams to assess and monitor their environmental conditions are often conducted using complex designs. Inference on descriptive parameters - as population totals or means of variables of interest - that accounts for the sampling procedures can be borrowed from design based survey theory. In particular, design based inference assisted by superpopulation models have proved to be a useful tool to employ auxiliary information available on the finite population of interest. Generalized regression estimation (Sarndal, Swensson and Wretman, 1992) and calibration estimation (Deville and Sarndal, 1992) employ auxiliary information in the form of population totals or means of auxiliary variables and are now widely used in many National Institutes of Statistics to produce a wide range of official statistics. In their original formulation, these methodologies assume - either explicitly or implicitly - a linear superpopulation model for the relationship between a variable of interests and the auxiliary ones. However, they both provide very flexible frameworks that have been recently exploited in literature to extend the class of superpopulation assisting models, when auxiliary information is complete, i.e. when the value taken by the auxiliary variable is known for each unit in the population. In particular, we will review and discuss the possibility of assuming non parametric regression models that allow more flexible modeling of the variables of interest (Breidt and Opsomer, 2007; Montanari and Ranalli, 2005). This has particular relevance for inference on finite populations of lakes or streams, in which the variables of interest may have very complicated dependencies on geographically referenced covariates. Auxiliary information in these contexts comes from remote sensing and GIS models and may be particularly rich

    Prospettive: "l'ortofrutticoltura di domani"

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    Il contributo fornisce le principali linee di indirizzo per interpretare le nuove sfide che il comparto ortofrutticolo dovrà affrontare nel futur

    L'ortofrutticoltura oggi

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    Il lavoro affronta le principali tematiche connese al comparto esaminato mettendone in evidenze le innovazioni tecnoclogiche introdotte, nonché i caratteri economico-commercial

    Ranalli, F.

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