LANTERI, ALESSANDRO
Distribuzione geografica
| Continente | # |
|---|---|
| EU - Europa | 334 |
| NA - Nord America | 67 |
| AS - Asia | 18 |
| AF - Africa | 8 |
| OC - Oceania | 4 |
| Totale | 431 |
| Nazione | # |
|---|---|
| FR - Francia | 263 |
| US - Stati Uniti d'America | 64 |
| IT - Italia | 44 |
| CN - Cina | 12 |
| ZA - Sudafrica | 6 |
| AU - Australia | 4 |
| DE - Germania | 4 |
| GB - Regno Unito | 4 |
| PT - Portogallo | 4 |
| CA - Canada | 3 |
| FI - Finlandia | 3 |
| IE - Irlanda | 2 |
| NL - Olanda | 2 |
| PK - Pakistan | 2 |
| SE - Svezia | 2 |
| UA - Ucraina | 2 |
| BG - Bulgaria | 1 |
| CH - Svizzera | 1 |
| DK - Danimarca | 1 |
| DZ - Algeria | 1 |
| ES - Italia | 1 |
| IR - Iran | 1 |
| KR - Corea | 1 |
| MY - Malesia | 1 |
| SG - Singapore | 1 |
| SO - Somalia | 1 |
| Totale | 431 |
| Città | # |
|---|---|
| Turin | 14 |
| Ashburn | 10 |
| Milan | 9 |
| Cape Town | 6 |
| New York | 5 |
| Paris | 5 |
| Rho | 5 |
| Guiyang | 4 |
| Santa Cruz | 4 |
| Fairfield | 3 |
| Helsinki | 3 |
| Houston | 3 |
| Naples | 3 |
| Nola | 3 |
| Wilmington | 3 |
| Amsterdam | 2 |
| Cambridge | 2 |
| Coimbra | 2 |
| Dublin | 2 |
| Fremont | 2 |
| Islamabad | 2 |
| London | 2 |
| Montreal | 2 |
| Pereira | 2 |
| Seattle | 2 |
| Shanghai | 2 |
| Southend | 2 |
| Wuhan | 2 |
| Abbeville | 1 |
| Ann Arbor | 1 |
| Arese | 1 |
| Ascea | 1 |
| Atlanta | 1 |
| Augsburg | 1 |
| Baltimore | 1 |
| Bologna | 1 |
| Bourges | 1 |
| Castelletto sopra Ticino | 1 |
| Council Bluffs | 1 |
| Crugers | 1 |
| Edmonton | 1 |
| Fleury-les-Aubrais | 1 |
| Grugliasco | 1 |
| Guyancourt | 1 |
| Holstebro | 1 |
| Leganés | 1 |
| Los Angeles | 1 |
| Miami | 1 |
| Mountain View | 1 |
| Oran | 1 |
| Provo | 1 |
| Riva | 1 |
| San Antonio | 1 |
| San Diego | 1 |
| Sassari | 1 |
| Seremban | 1 |
| Sofia | 1 |
| Volketswil / Volketswil (Dorf) | 1 |
| Woodbridge | 1 |
| Zhengzhou | 1 |
| Totale | 138 |
| Nome | # |
|---|---|
| Conditional regression for single-index models, file 924a1cf5-6903-4d58-b08f-5adf8761d976 | 258 |
| Estimating multi-index models with response-conditional least squares, file dfa8b9a5-8730-748b-e053-3a05fe0a3a96 | 81 |
| Conditional regression for single-index models, file 6192fdde-881f-48b1-b4b3-7b32bbc8aa6e | 37 |
| Designing to detect heteroscedasticity in a regression model, file 3e030c91-d464-4003-9318-f17b97837080 | 36 |
| KL-optimum designs to discriminate models with different variance function = Disegni KL-ottimi per discriminare tra modelli con diversa funzione di varianza, file dfa8b9aa-2f88-748b-e053-3a05fe0a3a96 | 18 |
| Optimal design to test for heteroscedasticity in a regression model, file d15d99c5-5155-4c70-a068-9bc4fda59e62 | 3 |
| Designing to detect heteroscedasticity in a regression model, file 5a296fcb-78a4-4aba-b449-e6209814885e | 2 |
| Totale | 435 |
| Categoria | # |
|---|---|
| all - tutte | 1.056 |
| article - articoli | 0 |
| book - libri | 0 |
| conference - conferenze | 0 |
| curatela - curatele | 0 |
| other - altro | 0 |
| patent - brevetti | 0 |
| selected - selezionate | 0 |
| volume - volumi | 0 |
| Totale | 1.056 |
| Totale | Lug | Ago | Sett | Ott | Nov | Dic | Gen | Feb | Mar | Apr | Mag | Giu | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020/2021 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 5 | 1 | 4 |
| 2021/2022 | 40 | 1 | 5 | 2 | 5 | 3 | 4 | 2 | 1 | 2 | 2 | 9 | 4 |
| 2022/2023 | 39 | 0 | 5 | 10 | 3 | 3 | 5 | 1 | 0 | 1 | 3 | 4 | 4 |
| 2023/2024 | 337 | 4 | 4 | 5 | 15 | 8 | 8 | 87 | 132 | 64 | 10 | 0 | 0 |
| Totale | 435 | ||||||||||||