9786200537133 - characterizations of bivariate, multivariate and matrix variate: normal distributions von ghosh, indranil; hamedani, g.g. (2 Ergebnisse)

- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 23,25
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 5 verfügbar
Taschenbuch. Zustand: Neu. Characterizations of bivariate, multivariate and matrix variate | normal distributions | Indranil Ghosh (u. a.) | Taschenbuch | 68 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200537133 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, i…nfo[at]bod[dot]de | Anbieter: preigu.

- Softcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Sehr gut
EUR 22,71
EUR 105,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This monograph is a collective effort by Hamedani and Ghosh which focuses on a topic which has appeared in many forms: journal articles, short reviews, books; i.e., characteri- zations of bivariate, multivariate and matrix variate normal distribution…s. The first author is thankful to the second author for his continuous encouragement of invaluable suggestions in preparing this short monograph. This monograph attempts to collect all the characteriza- tions results related to a Gaussian distribution in bivariate and in higher domains that exist in the literature consequently claims its uniqueness. It also tries to paint some sketches of the proofs to some of the characterization results that are not available in the literature as of yet to the best of the knowledge of the authors. However, the authors do believe that contributors to this subject matter might have these ideas in their mind but did not feel nec- essary to pen it down. While this monograph heavily draws on articles by the second author, Hamedani and his co-authors in a series of papers, we sincerely hope that the readers and practitioners in need of an appropriate Gaussian distribution will find it very useful.