956 resultados para Lorenz, Konrad
Resumo:
Signatur des Originals: S 36/F12065
Resumo:
Signatur des Originals: S 36/G02021
Resumo:
Signatur des Originals: S 36/G03079
Resumo:
Signatur des Originals: S 36/G03949
Resumo:
Signatur des Originals: S 36/G04297
Resumo:
Signatur des Originals: S 36/G04372
Resumo:
Lorenz estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. Relative as well as generalized, absolute, unnormalized, or custom-normalized Lorenz or concentration curves are supported, and tools for computing contrasts between different subpopulations or outcome variables are provided. Variance estimation for complex samples is fully supported.
Resumo:
Lorenz and concentration curves are widely used tools in inequality research. In this paper I present a new Stata command called -lorenz- that estimates Lorenz and concentration curves from individual-level data and, optionally, displays the results in a graph. The -lorenz- command supports relative as well as generalized, absolute, unnormalized, or custom-normalized Lorenz or concentration curves, and provides tools for computing contrasts between different subpopulations or outcome variables. Variance estimation for complex samples is fully supported.
Resumo:
Este artículo estudia la evolución de un modelo de vivienda prefabricada en madera, ejemplificada en la casita de verano que construye Konrad Wachsmann para Albert Einstein en 1929 en Caputh, cerca de Potsdam. El físico deseaba construirse un "lugar de descanso", eligiendo la construcción en madera por su facilidad y rapidez de montaje, adaptabilidad, calidez y para que armonizara mejor con el medio ambiente en el paraje donde se insertaba. Konrad Wachsmann, que trabajaba para la firma de viviendas prefabricadas en madera "Christoph&Unmack A.G." le presentará un modelo prefabricado moderno. Esta tipología, que había evolucionado desde los diseños iniciales "nórdico escandinavos", pasando por el "jugendstil", hasta introducir un nuevo lenguaje de líneas puras, cubierta plana, y grandes ventanales iniciado por Poelzig, será ligeramente modificada por Einstein, que finalmente adjudica el encargo. Ayudado por Einstein a trasladarse a EEUU, Konrad Wachsmann continuará allí la labor de investigación sobre vivienda prefabricada junto con Walter Gropius, que dará como resultado el "General Panel System" y sus conocidas "Packaged Houses". A HOUSE FOR EINSTEIN: KONRAD WACHSMANN AND THE EVOLUTION OF A PREFABRICATED WOODEN HOUSING MODEL FROM " CHRISTOPH & UNMACK A.G." TO "GENERAL PANEL SYSTEM". This article studies the evolution of a prefabricated wooden housing model, exemplified in the summer house built by Konrad Wachsmann for Albert Einstein in 1929, in Caputh, near Potsdam. The Physician wanted to build a "resting house", choosing a wood construction because of its easy and fast assembly, adaptability, warmth and harmony with the environment where it would be inserted. Konrad Wachsmann, who worked for the wooden prefabricated houses firm "Christoph & Unmack AG", proposed Einstein a modern prefabricated wood model. This typology, which had evolved from the initial "Nordic Scandinavian" and "Jugendstil" designs to a new modern language initiated by Poelzig (with clean lines, flat roof, and large windows) will be slightly modified by Einstein, that finally hired the construction of the house. Aided by Einstein to move to USA, Konrad Wachsmann continued there his research work about prefabricated houses with Walter Gropius, giving as a results the "General Panel System" and the popular "Packaged Houses".
Resumo:
This paper shows the Gini Coefficient, the dissimilarity Index and the Lorenz Curve for the Spanish Port System by type of goods from 1960 to the year 2010 for business units: Total traffic, Liquid bulk cargo, Solid bulk cargo, General Merchandise and Container (TEUs) with the aim of carcaterizar the Spanish port systems in these periods and propose future strategies.
Resumo:
Este artículo estudia la evolución del modelo de vivienda prefabricada en madera que construye Konrad Wachsmann para Einstein en 1929 en Caputh, cerca de Potsdam. El físico deseaba construirse un "lugar de descanso", eligiendo la construcción en madera por su facilidad y rapidez de montaje, adaptabilidad, calidez y para que armonizara mejor con el medio ambiente. Wachsmann, que trabajaba para la firma "Christoph & Unmack A.G." le presentará un modelo prefabricado moderno. Esta tipología, evolucionada desde los diseños "nórdico-escandinavo" y "jugendstil", hasta introducir un nuevo lenguaje de líneas puras, cubierta plana, y grandes ventanales, será ligeramente modificada por Einstein, que finalmente adjudica el encargo. Wachsmann continuará la labor de investigación sobre vivienda prefabricada junto con Gropius en EEUU, que dará como resultado el "General Panel System" y sus conocidas "Packaged Houses".
Resumo:
Canonical Correlation Analysis for Interpreting Airborne Laser Scanning Metrics along the Lorenz Curve of Tree Size Inequality
Resumo:
The purpose of this study was to compare a number of state-of-the-art methods in airborne laser scan- ning (ALS) remote sensing with regards to their capacity to describe tree size inequality and other indi- cators related to forest structure. The indicators chosen were based on the analysis of the Lorenz curve: Gini coefficient ( GC ), Lorenz asymmetry ( LA ), the proportions of basal area ( BALM ) and stem density ( NSLM ) stocked above the mean quadratic diameter. Each method belonged to one of these estimation strategies: (A) estimating indicators directly; (B) estimating the whole Lorenz curve; or (C) estimating a complete tree list. Across these strategies, the most popular statistical methods for area-based approach (ABA) were used: regression, random forest (RF), and nearest neighbour imputation. The latter included distance metrics based on either RF (NN–RF) or most similar neighbour (MSN). In the case of tree list esti- mation, methods based on individual tree detection (ITD) and semi-ITD, both combined with MSN impu- tation, were also studied. The most accurate method was direct estimation by best subset regression, which obtained the lowest cross-validated coefficients of variation of their root mean squared error CV(RMSE) for most indicators: GC (16.80%), LA (8.76%), BALM (8.80%) and NSLM (14.60%). Similar figures [CV(RMSE) 16.09%, 10.49%, 10.93% and 14.07%, respectively] were obtained by MSN imputation of tree lists by ABA, a method that also showed a number of additional advantages, such as better distributing the residual variance along the predictive range. In light of our results, ITD approaches may be clearly inferior to ABA with regards to describing the structural properties related to tree size inequality in for- ested areas.
Resumo:
Inclui notas bibliográficas