Statistical Reliability Engineering by Gnedenko Boris (23 results)

Condition: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Condition: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.

Condition: Good. 1st Edition. Used book that is in clean, average condition without any missing pages.

Gebundene Ausgabe. Condition: Neu. Auflage: 1. 528 Seiten neu, Versand spätestens am nächsten Werktag 222062 Sprache: Englisch Gewicht in Gramm: 925.

Condition: New. In.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Condition: New. BORIS GNEDENKO (deceased) was the chairman of the Probability Theory Department of Moscow State University in Russia. IGOR PAVLOV is Professor of Mathematics at Moscow Technical University in Russia. IGOR USHAKOV is Principal Engineer at QUALCOMM, Inc. in S.

Condition: New. pp. 528.

Condition: New. pp. 528 1st Edition.

Condition: New.

Buch. Condition: Neu. Neuware - Die Zuverlässigkeitsanalyse soll absichern, daß alle Komponenten eines Systems oder Produkts die Anforderungen an Funktionstüchtigkeit, -umfang und Budget erfüllen. Alle wichtigen mathematischen Methoden, die in diesem Zusammenhang verwendet werden, stellt in diesem Buch einer der führenden Spezialisten dieses Gebietes vor. Mit vielen realitätsnahen Beispielen und Fallstudien. (05/99).

Hardcover. Condition: new. Hardcover. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 1st edition. 499 pages. 9.75x6.75x1.25 inches. In Stock.

Hardcover. Condition: new. Hardcover. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Over the past several decades, their efforts have yielded highly evolved statistical models that have proven to be especially valuable in the estimation of reliability based upon tests of individual units of systems. Now Statistical Reliability Engineering affords engineers a unique opportunity to learn both the theory behind and applications of those statistical methods. Written by three leading innovators in the field, Statistical Reliability Engineering: * Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation * Focuses on the estimation of various measures of system reliability based on the testing of individual units * Contains new theoretical results available for the first time in print * Features numerous examples demonstrating practical applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Editor(s): Chakravarty, Sumantra. Num Pages: 528 pages, Illustrations. BIC Classification: TGPR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 166 x 35. Weight in Grams: 870. . 1999. 1st Edition. Hardcover. . . . .

Condition: New. Proven statistical reliability analysis methods-available for the first time to engineers in the West While probabilistic methods of system reliability analysis have reached an unparalleled degree of refinement, Russian engineers have concentrated on developing more advanced statistical methods. Editor(s): Chakravarty, Sumantra. Num Pages: 528 pages, Illustrations. BIC Classification: TGPR. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 240 x 166 x 35. Weight in Grams: 870. . 1999. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condition: New.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 910.

Hardcover. Condition: Brand New. 1st edition. 499 pages. 9.75x6.75x1.25 inches. In Stock. This item is printed on demand.