Appropriate for a one-semester advanced undergraduate or a graduate level course in reliability engineering.
An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary.
"Sinopsis" puede pertenecer a otra edición de este libro.
Appropriate for a one-semester advanced undergraduate or a graduate level course in reliability engineering. An elementary introduction to the probabilistic models and statistical methods used by reliability engineers as applied to, for example, electrical or mechanical systems. Leemis offers explanations of how the mathematical models and results apply to engineering design and the analysis of lifetime data sets, with simple, supplementary proofs and derivations provided when necessary.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_396050272
Cantidad disponible: 1 disponibles
Librería: medimops, Berlin, Alemania
Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Nº de ref. del artículo: M00137205171-G
Cantidad disponible: 1 disponibles
Librería: Buchpark, Trebbin, Alemania
Condición: Gut. Zustand: Gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Nº de ref. del artículo: 3772956/3
Cantidad disponible: 1 disponibles