Giuseppe Espa

发表

La Sabina Tiberina. Analisi esplorativa per la zona archeologica dell'Ager Eretanus

Roberto Gabrielli, Giuseppe Espa, S. Espa, 1996 .

Impiego di un sistema geografico informativo per un confronto modellistico preliminare tra due aree archeologiche sabine

Roberto Gabrielli, Giuseppe Espa, S. Espa, 1996 .

A mixed sampling strategy for partially geo-referenced finite populations

Emanuele Taufer, Maria Michela Dickson, Flavio Santi, 2021, Spatial Statistics.

On maximum likelihood estimation of a Pareto mixture

Marco Bee, Roberto Benedetti, Giuseppe Espa, 2013, Comput. Stat..

Approximate maximum likelihood estimation of the Bingham distribution

Marco Bee, Roberto Benedetti, Giuseppe Espa, 2017, Comput. Stat. Data Anal..

Approximate maximum likelihood estimation of the autologistic model

Diego Giuliani, Marco Bee, Giuseppe Espa, 2015, Comput. Stat. Data Anal..

Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan

Diego Giuliani, Giuseppe Arbia, Giuseppe Espa, 2012, Journal of Geographical Systems.

Importance Sampling Techniques for Large Quantile Estimation in the Advanced Measurement Approach

Marco Bee, Greg N. Gregoriou, Giuseppe Espa, 2011 .

Metodologie statistiche e procedure informatiche per l'analisi esplorativa di dati archeologici a connotazione spaziale

Giuseppe Espa, S. Espa, U. Ricci, 1997 .

Stime delle relazioni fra input ed output di produzione nelle indagini agricole

Roberto Benedetti, Giuseppe Espa, L Martino, 2000 .

Un modello finanziario di breve periodo per il settore statale italiano: l’analisi relativa al contesto pre−unione monetaria

Giuseppe Espa, Bernardo Maggi, 2005 .

Teaching statistics in the context of social foresight. An applied approach based on the use of an open-source software

Diego Giuliani, Maria Michela Dickson, Giuseppe Espa, 2015 .

Design-based estimation in environmental surveys with positional errors

Diego Giuliani, Emanuele Taufer, Marco Bee, 2018, Environmental and Ecological Statistics.

Sampling design and analysis using geo-referenced data

Diego Giuliani, Maria Michela Dickson, Roberto Benedetti, 2019 .

Measuring spatial clustering of firms while controlling for latent spatial heterogeneity. An approach based on micro-geographic data

Diego Giuliani, Maria Michela Dickson, Giuseppe Espa, 2013 .

Impiego integrato di metodi statistico-spaziali e tecniche informatiche nell'analisi di aree di interesse storico-archeologico

Roberto Gabrielli, Giuseppe Espa, S. Espa, 1995 .

The Use of Spatial Sampling Designs in Business Surveys

Diego Giuliani, Maria Michela Dickson, Roberto Benedetti, 2014 .

Effects of missing data and locational errors on spatial concentration measures based on Ripley’s K-function

Diego Giuliani, Giuseppe Arbia, Maria Michela Dickson, 2017 .

GIS based models and estimation methods for the probability of archaeological site location

Roberto Benedetti, Giuseppe Espa, S. Espa, 2006 .

Incomplete geocoding and spatial sampling: The effects of locational errors on population total estimation

Diego Giuliani, Maria Michela Dickson, Giuseppe Espa, 2017, Comput. Environ. Urban Syst..

Administrative burdens evaluation: A smart perspective in the Province of Trento

Maria Michela Dickson, Giuseppe Espa, Michele Andreaus, 2016, 2016 IEEE International Smart Cities Conference (ISC2).

Graphical representations and associated goodness-of-fit tests for Pareto and log-normal distributions based on inequality curves

Emanuele Taufer, Maria Michela Dickson, Flavio Santi, 2021, Journal of Nonparametric Statistics.

Non-linear spatial models

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani, 2021 .

Points in a heterogeneous space

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani, 2021 .

A Crowd Monitoring Methodology based on the Analysis of the Electromagnetic Spectrum

Massimo Donelli, Giuseppe Espa, 2021 .

A simulated annealing-based algorithm for selecting balanced samples

Maria Michela Dickson, Roberto Benedetti, Federica Piersimoni, 2021, Comput. Stat..

Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data

Giuseppe Arbia, Maria Michela Dickson, Flavio Santi, 2021, Computational Statistics.

Preliminary definitions and concepts in point pattern analysis

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani, 2021 .

Poor repertoire General Movements predict some aspects of development outcome at 2 years in very preterm infants.

Rocco Micciolo, Giuseppe Espa, Stefano Calzolari, 2012, Early human development.

A class of spatial econometric methods in the empirical analysis of clusters of firms in the space

Giuseppe Arbia, Giuseppe Espa, Danny Quah, 2008 .

Modelling and Predicting the Spatio-Temporal Spread of Coronavirus Disease 2019 (COVID-19) in Italy

Maria Michela Dickson, Flavio Santi, Giuseppe Espa, 2020, SSRN Electronic Journal.

Clusters of firms in an inhomogeneous space: The high-tech industries in Milan

Giuseppe Arbia, Giuseppe Espa, Andrea Mazzitelli, 2012 .

Statistical Economic Approach to Mixed Stock-Flow Dynamic Models in Macroeconomics

Giuseppe Espa, B Maggi, Daniela Federici, 2002 .

A Tree-Based Approach to Forming Strata in Multipurpose Business Surveys

Roberto Benedetti, Giuseppe Espa, Giovanni Lafratta, 2005 .

Aggregation of regional economic time series with different spatial correlation structures

Giuseppe Arbia, Marco Bee, Giuseppe Espa, 2011 .

Weighting Ripley’s K-Function to Account for the Firm Dimension in the Analysis of Spatial Concentration

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani, 2014 .

Modelling and predicting the spread of Coronavirus (COVID-19) infection in NUTS-3 Italian regions

Maria Michela Dickson, Flavio Santi, Giuseppe Espa, 2020 .

Contextual classification in image analysis: an assessment of accuracy of ICM

Giuseppe Arbia, Roberto Benedetti, Giuseppe Espa, 1999 .

FIRMS' BANKRUPTCY AND TURNOVER IN A MACROECONOMY

Marco Bee, Giuseppe Espa, Roberto Tamborini, 2004 .