Nome |
# |
Spatially Balanced Sampling: A Review and A Reappraisal, file e4233f19-5e90-2860-e053-6605fe0a460a
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85
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Principal component analysis for geographical data: the role of spatial effects in the definition of composite indicators, file e4233f18-8759-2860-e053-6605fe0a460a
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71
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Measuring the Spatial Dimension of Regional Inequality: An Approach Based on the Gini Correlation Measure, file e4233f18-48eb-2860-e053-6605fe0a460a
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61
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A Bayesian Approach to Parameter Estimation in the Presence of Spatial Missing Data, file e4233f19-6d55-2860-e053-6605fe0a460a
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56
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Economic convergence in EU NUTS 3 regions: A spatial econometric perspective, file e4233f18-3f04-2860-e053-6605fe0a460a
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28
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Regional economic growth and the effect of Information Communication Technology: What is beyond the expected value?, file f0b2e3fe-3e45-442f-ae5a-1bfbb047f386
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19
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Spatial analysis of grey water in Italian cereals crop production, file e4233f19-6d57-2860-e053-6605fe0a460a
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18
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Regional inequality, spatial dependence, and proximity structures: An application to EU regions., file 95d79d2f-b976-436d-b1a2-0457ae4058b1
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17
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New evidence on measuring the geographical concentration of economic activities, file e4233f19-47cb-2860-e053-6605fe0a460a
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13
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Regional economic disparities, spatial dependence and proximity structures, file 5bebd057-ebc1-45e7-ac4b-748a42912a0c
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8
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A Bayesian Approach to Parameter Estimation in the Presence of Spatial Missing Data, file e4233f17-d763-2860-e053-6605fe0a460a
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6
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Spatial analysis of grey water in Italian cereals crop production, file e4233f17-d76b-2860-e053-6605fe0a460a
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6
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A two-step approach to account for unobserved spatial heterogeneity, file e4233f17-d8a8-2860-e053-6605fe0a460a
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6
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Spatially Balanced Sampling: A Review and A Reappraisal, file e4233f17-d631-2860-e053-6605fe0a460a
|
5
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Climate variability in agriculture and crop water requirement: Spatial analysis of Italian provinces, file e4233f18-48e0-2860-e053-6605fe0a460a
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5
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A two-step approach to account for unobserved spatial heterogeneity, file e4233f19-2de2-2860-e053-6605fe0a460a
|
5
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Advances in the use of remote sensing in Land Use/Land Cover Surveys, file e4233f17-d84e-2860-e053-6605fe0a460a
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4
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Spatial method for the forecast of agricultural data, file e4233f18-42de-2860-e053-6605fe0a460a
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4
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Economic inequality, spatial scale, and spatial concentration, file e4233f17-d6fb-2860-e053-6605fe0a460a
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3
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MCMC selection of spatially and doubly balanced samples, file e4233f17-d6fd-2860-e053-6605fe0a460a
|
3
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Advanced Methods to Design Samples for Land Use/Land Cover Surveys, file e4233f17-d701-2860-e053-6605fe0a460a
|
3
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Sampling and modelling issues using big data in now-casting, file e4233f17-d72a-2860-e053-6605fe0a460a
|
3
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Sampling spatial units for agricultural surveys, file e4233f17-d760-2860-e053-6605fe0a460a
|
3
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Forecasting with Mixed Data Sampling Models (MIDAS) and Google trends data: the case of car sales in Italy, file e4233f17-d7f1-2860-e053-6605fe0a460a
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3
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Modelli spaziali di regressione quantilica per l’analisi della convergenza economica regionale, file e4233f17-da29-2860-e053-6605fe0a460a
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3
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Modelli spaziali per dati panel per lo studio della convergenza economica regionale, file e4233f18-3f06-2860-e053-6605fe0a460a
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3
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The effects of capital inflows on the economic growth in the Med Area, file e4233f18-4220-2860-e053-6605fe0a460a
|
3
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Hierarchical spatial interaction among the Italian regions: A nonlinear relative dynamics approach, file e4233f18-4221-2860-e053-6605fe0a460a
|
3
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Semiparametric modelling of spatial binary observations, file e4233f18-4223-2860-e053-6605fe0a460a
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3
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Economic growth in Italian NUTS 3 provinces, file e4233f18-4493-2860-e053-6605fe0a460a
|
3
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A spatial mixed model for sectorial labour market data, file e4233f18-4499-2860-e053-6605fe0a460a
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3
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Evaluating the effects of heteroscedasticity on the economic growth of EU regions, file e4233f18-48b4-2860-e053-6605fe0a460a
|
3
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Forecasting aggregated Euro area inflation rate with space-time models, file e4233f18-48b6-2860-e053-6605fe0a460a
|
3
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Does economic convergence hold? A spatial quantile analysis on European regions, file e4233f18-48e5-2860-e053-6605fe0a460a
|
3
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Economic growth in MENA countries: Is there convergence of per-capita GDPs?, file e4233f18-48ed-2860-e053-6605fe0a460a
|
3
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The role of spatial dependence in regional convergence of per-capita income, file e4233f18-48f4-2860-e053-6605fe0a460a
|
3
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Using Constrained Optimization for the Identification of Convergence Clubs, file e4233f18-4960-2860-e053-6605fe0a460a
|
3
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Unemployment analysis in the Med area, file e4233f18-4987-2860-e053-6605fe0a460a
|
3
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New directions for regional analysis: Methods and applications, file e4233f18-4af0-2860-e053-6605fe0a460a
|
3
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Specialization, R&D and productivity growth: Evidence from EU regions, file e4233f18-4c73-2860-e053-6605fe0a460a
|
3
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Spatial panel regression models in agriculture, file 045383c0-304a-4da4-ade2-337f9d961886
|
2
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Constrained optimization for addressing spatial heterogeneity in principal component analysis: an application to composite indicators, file 11a5538f-97bb-48cd-9447-275fd75d946c
|
2
|
On the use of Google Trend data as covariates in nowcasting: Sampling and modeling issues., file e4233f17-d6a6-2860-e053-6605fe0a460a
|
2
|
Spatial regimes in regional European growth: an iterated spatially weighted regression approach., file e4233f17-d728-2860-e053-6605fe0a460a
|
2
|
Le componenti principali pesate geograficamente per la definizione di indicatori compositi locali, file e4233f17-d72e-2860-e053-6605fe0a460a
|
2
|
Alternative and complementary approaches to spatially balanced samples, file e4233f17-d769-2860-e053-6605fe0a460a
|
2
|
Spatial heterogeneity in principal component analysis: a study of deprivation index on Italian provinces., file e4233f17-da27-2860-e053-6605fe0a460a
|
2
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Spatial Clusters in EU Productivity Growth, file e4233f17-daef-2860-e053-6605fe0a460a
|
2
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Spatial discriminant analysis using covariates information, file e4233f18-4225-2860-e053-6605fe0a460a
|
2
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Metodi statistici per la stima della copertura del suolo con dati a terra e da satellite, file e4233f18-4227-2860-e053-6605fe0a460a
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2
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Spatial sampling for agricultural data, file e4233f18-4229-2860-e053-6605fe0a460a
|
2
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Statistics in agriculture production, file e4233f18-422b-2860-e053-6605fe0a460a
|
2
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Spatial approach to economic convergence: an empirical analysis of EU NUTS 2 regions, file e4233f18-422d-2860-e053-6605fe0a460a
|
2
|
Spatial prediction of agricultural crop yield, file e4233f18-4315-2860-e053-6605fe0a460a
|
2
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La rilevazione diretta di informazioni congiunturali sulle coltivazioni: situazione attuale e possibili sviluppi, file e4233f18-45e1-2860-e053-6605fe0a460a
|
2
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Modeling the Impact of Technological Innovation on Environmental Efficiency: A Spatial Panel Data Approach, file e4233f18-48e9-2860-e053-6605fe0a460a
|
2
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Spatially balanced samples for land use/land cover surveys, file e4233f18-4957-2860-e053-6605fe0a460a
|
2
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Un metodo interpolativo per la diffusione dei dati statistici, file e4233f18-4959-2860-e053-6605fe0a460a
|
2
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Discriminant analysis using markovian automodels, file e4233f18-495b-2860-e053-6605fe0a460a
|
2
|
Basic concepts, file a56ae77a-a51a-453f-9a7a-ad8783b7c1bc
|
1
|
The impact of regional inequality on economic growth: a spatial econometric approach, file c7719974-ad7c-42d6-ac84-1eb05546ca86
|
1
|
A regression tree algorithm for the identification of convergence clubs, file e4233f18-4a8c-2860-e053-6605fe0a460a
|
1
|
Totale |
524 |