Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659214671 ISBN 13: 9783659214677
Librería: preigu, Osnabrück, Alemania
EUR 51,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Families of Distributions Differing in Higher Order Moments | And a Possible Application | Sampath Kumar Kanthala (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659214677 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659214671 ISBN 13: 9783659214677
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 137,78
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659214671 ISBN 13: 9783659214677
Librería: moluna, Greven, Alemania
EUR 49,26
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kanthala Sampath KumarDr. Sampath Kumar Kanthala is presently working as Asst. Prof. & Head, Dept. of Statistics, Telangana University, India. He did his Ph.D. from Dept. of Statistics, Osmania University, India, under the supervisio.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2012
ISBN 10: 3659214671 ISBN 13: 9783659214677
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 59,71
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the availability of fast and high-volume computers at relatively low cost, some of the problems that were considered only of marginal academic interest are gaining prominence in the recent decades. One such problem is the problem of specification of a probability function through its moments. Moments are widely used in scientific disciplines that deal with data in the analysis of statistical distributions. They are applicable to many different aspects of image processing, and are usually discussed in terms of their order. Hence it is common practice in Statistical applications to identify a distribution type by its first few standardized moments. However, the question: How many moments may be good enough to capture the essential features of a distribution can prove to be of considerable challenge and interest for further research. Hence, the book is devoted to investigate the problem of generating a class of densities, which have the first k (say, 4) moment s common but differ in their higher order moments and investigates to what extent and qualitatively in what way; they can differ from one another in an analytical and comprehensive way.