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Title | Pfaffikus |
Description | Content Pfaffikus R Packages R Package cccp R Package evir R Package FRAPO R Package gogarch R Package mcrp R Package QRM R Package rbtc R Package rneos R Package |
Keywords | N/A |
WebSite | pfaffikus.de |
Host IP | 178.254.50.27 |
Location | Germany |
Euro€2,755
Zuletzt aktualisiert: 2022-07-09 03:58:03
pfaffikus.de hat Semrush globalen Rang von 10,007,975. pfaffikus.de hat einen geschätzten Wert von € 2,755, basierend auf seinen geschätzten Werbeeinnahmen. pfaffikus.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 178.254.50.27. Laut SiteAdvisor ist pfaffikus.de sicher zu besuchen. |
Kauf-/Verkaufswert | Euro€2,755 |
Tägliche Werbeeinnahmen | Euro€79,344 |
Monatlicher Anzeigenumsatz | Euro€26,448 |
Jährliche Werbeeinnahmen | Euro€2,204 |
Tägliche eindeutige Besucher | 551 |
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen. |
Host | Type | TTL | Data |
pfaffikus.de. | A | 300 | IP: 178.254.50.27 |
pfaffikus.de. | NS | 300 | NS Record: ns2.greatnet.de. |
pfaffikus.de. | NS | 300 | NS Record: ns1.greatnet.de. |
pfaffikus.de. | NS | 300 | NS Record: ns3.greatnet.de. |
pfaffikus.de. | MX | 300 | MX Record: 5 mail.pfaffikus.de. |
pfaffikus.de. | TXT | 300 | TXT Record: v=spf1 a mx include:_spf.greatnet.de -all |
Pfaffikus R Packages R Package cccp R Package evir R Package FRAPO R Package gogarch R Package mcrp R Package QRM R Package rbtc R Package rneos R Package urca R Package vars Books FAZ Springer Springer Examples (1st ed) Springer Examples (2nd ed) Wiley Wiley Examples (1st ed) Wiley Examples (2nd ed) Talks R in Finance Rmetrics useR! Miscellaneous Imprint Imprint More Github Clear History navigation Content R packages The first section of this site is dedicated to the R packages that I maintain. These are (in alphabetical order): cccp evir FRAPO gogarch mcrp QRM rbtc rneos urca vars Books The second purpose of this site is to offer additional information to the books I have written and to provide complimentary material. Analysis of Integrated and Cointegrated Time Series with R Financial Risk Modelling and Portfolio Optimisation with R Modelling Financial Risks Talks Last but not least, the presentations held at various conferences are made available for download. These files have |
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