Caterina Pisani
Affiliation:
Università di Siena
Department:
Dipartimento di Metodi Quantitativi - P.zza S. Francesco, 8, 53100 Siena
Position:
Ricercatore non confermato
Telephone: 0577 232750
Fax: 0577 232626
E-Mail: pisani4@unisi.it
Main research interests
- estimation of biological population abundance over large study areas by means of two-phase sampling strategies;
- performance of cluster adaptive sampling, in terms of efficiency and accuracy, with respect to alternative spatial sampling designs and the issue of imperfect detectability;
- ranked set sampling and steady-state ranked set sampling;
- coverage estimation;
- two-phase sampling strategy for estimating forest carbon sink.
List of publications:
- L. Fattorini, C. Pisani (2000) Assessing Multivariate Normality on the \"Worst\" Sample Configuration Metron, vol. LVIII n.1-2, pp.23-38
- L. Barabesi, C. Pisani (2002) Ranked set sampling for replicated sampling designs Biometrics, 58, pp. 586-592
- C. Pisani (2002) The estimation of biological population size at large scale by incomplete area surveys and replicated counts Environmetrics, 13, pp.155-166.
- L. Fattorini, M. Marcheselli, C. Pisani (2004) Two-phase estimation of coverages with second-phase corrections Environmetrics, 15, 357-368
- L. Barabesi, C. Pisani (2004) Steady-state ranked set sampling for replicated environmental sampling designs Environmetrics, 15, pp.45-56
- L. Fattorini, C. Pisani (2004) Variance decomposition in two-stage plot sampling: theoretical and empirical results Environmental and Ecological Statistics, 11, pp. 385-396
- L. Fattorini, C. Pisani, A. Sforzi (2004) The estimation of wildlife ungulate abundance using sample area surveys: an application to Maremma Regional Park Statistical Methods & Applications, 13, pp. 197-212
- S. Naddeo, C. Pisani (2005) Two stage adaptive cluster sampling Statistical Methods & Applications, 14, pp. 3-10
Working papers
- L. Fattorini, C. Pisani (2001) Two-stage estimators of animal abundance by sample area surveys Working Paper, 2001, 27, Dipartimento Metodi Quantitativi - Università di Siena