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Reliability (Engineering) --- Fiabilité --- Statistical methods. --- Méthodes statistiques --- Statistical methods --- Fiabilité --- Méthodes statistiques --- Reliability (Engineering) - Statistical methods
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Stochastic processes --- Reliability (Engineering) --- Maintainability --- Fiabilité --- Statistical methods --- Méthodes statistiques --- Maintainability (Engineering) --- Statistical methods. --- Fiabilité --- Méthodes statistiques --- Reliability (Engineering) - Statistical methods. --- Maintainability (Engineering) - Statistical methods.
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658.58 --- Reliability (Engineering) --- -Mathematical statistics --- Servicing and maintenance work --- Statistical methods --- -Servicing and maintenance work --- 658.58 Servicing and maintenance work --- -658.58 Servicing and maintenance work --- Mathematical statistics --- Reliability (Engineering) - Statistical methods. --- -Statistical methods
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Mathematical statistics --- Mathematical physics --- Reliability (Engineering) --- Fiabilité --- Statistical methods --- Méthodes statistiques --- 519.2 --- -Mathematical statistics --- Probability. Mathematical statistics --- Statistical methods. --- -Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- -519.2 Probability. Mathematical statistics --- Fiabilité --- Méthodes statistiques --- Monograph --- Statistique mathématique --- Mathematical statistics. --- Statistique mathématique --- Reliability (Engineering) - Statistical methods --- Epreuve d'hypothese --- Tests statistiques
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Das Buch bietet eine Einführung in die wichtigsten Methoden der Wahrscheinlichkeitsrechnung und des statistischen Schließens, das heißt, der Schätzung von Parametern und des Testens von Hypothesen. Die Darstellung zielt auf klare Begriffe, nachvollziehbare Verfahren und Motivation aus den Wirtschaftswissenschaften. Sie enthält zahlreiche durchgerechnete Beispiele, auch mit realen Daten. Hinweise zur Durchführung der Verfahren am Computer mit Excel® und SPSS® ergänzen den Text. Das Lehrbuch richtet sich an Studierende insbesondere der Wirtschafts- und Sozialwissenschaften im Grundstudium. Es ist auch zum Selbststudium geeignet.
Economics/Management Science. --- Game Theory/Mathematical Methods. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Economics. --- Economics --- Economics, Mathematical. --- Economie politique --- Mathématiques économiques --- Statistics. --- Mathematical statistics. --- Probabilities. --- Accelerated life testing -- Statistical methods. --- Failure time data analysis. --- Reliability (Engineering) -- Statistical methods. --- Mathematical statistics --- Statistics --- Probabilities --- Business & Economics --- Economic Theory --- Economic theory. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics .
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The Annual University of North Carolina Greensboro Regional Mathematics and Statistics Conference (UNCG RMSC) has provided a venue for student researchers to share their work since 2005. The 8th Conference took place on November 3, 2012. The UNCG-RMSC conference established a tradition of attracting active researchers and their faculty mentors from NC and surrounding states. The conference is specifically tailored for students to present the results of their research and to allow participants to interact with and learn from each other. This type of engagement is truly unique. The broad scope of UNCG-RMSC includes topics in applied mathematics, number theory, biology, statistics, biostatistics and computer sciences. .
Accelerated life testing -- Statistical methods. --- Failure time data analysis. --- Reliability (Engineering) -- Statistical methods. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Mathematical statistics. --- Statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Statistical inference --- Statistics, Mathematical --- Statistical Theory and Methods. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics, general. --- Econometrics --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics .
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Reliability (Engineering) --- -Reliability (Engineering) --- -Mathematical statistics --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Data processing --- Statistical methods --- Mathematical statistics --- Statistical methods. --- Data processing. --- Reliability (Engineering) - Statistical methods. --- Reliability (Engineering) - Data processing. --- Statistique mathématique --- Fiabilité
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Mathematical statistics --- Reliability (Engineering) --- Quality control --- Fiabilité --- Qualité --- Statistical methods --- Méthodes statistiques --- Contrôle --- 519.22 --- -Reliability (Engineering) --- -Mathematical statistics --- Factory management --- Industrial engineering --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Statistical theory. Statistical models. Mathematical statistics in general --- Statistical methods. --- -Statistical theory. Statistical models. Mathematical statistics in general --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- -519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Fiabilité --- Qualité --- Méthodes statistiques --- Contrôle --- Statistique mathématique. --- Mathematical statistics. --- Reliability (Engineering) - Statistical methods --- Quality control - Statistical methods
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In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability in engineered systems. (1) One is to be able to compare the reliability of one system to another system. (2) Another practical need is to compare alternate system designs for the purpose of engineering a particular optimal system. The practical, standardized, technical tool for characterizing reliability in systems is system signatures which was created in 1985 and since has developed into a powerful tool for qualifying reliability. It is used in all physical structures and stochastic systems where reliability is an important consideration (e.g., automobiles, bridges, electronic networks, airplanes, etc.) Since the introduction of system signatures in Francisco Samaniego’s 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications. Based on the practical and research success in building reliability into systems with system signatures, this is the first book treatment of the approach. It is, therefore, the purpose of this book to provide guidance on how reliability problems might be structured, modeled and solved. Over the past ten years the broad applicability of system signatures has become apparent and the tool’s utility in coherent systems and communications networks firmly established. The book compared actual system lifetimes where the tool has been and has not been used. These comparisons—which have been done over the years—demonstrate the practical, feasible and fruitful use of the tool in building reliable systems. Finally, new results and future directions for system signatures are also explored. .
Reliability (Engineering) --- Engineering systems --- Fiabilité --- Systèmes d'ingénierie --- Engineering systems. --- Maintainability (Engineering). --- Reliability (Engineering) -- Statistical methods. --- Reliability (Engineering). --- Distribution (Probability theory) --- Industrial & Management Engineering --- Technology - General --- Materials Science --- Chemical & Materials Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Statistical methods. --- Fiabilité --- Systèmes d'ingénierie --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Engineering. --- Operations research. --- Decision making. --- System theory. --- Probabilities. --- Statistics. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Probability Theory and Stochastic Processes. --- Operation Research/Decision Theory. --- Systems Theory, Control. --- Mathematical statistics --- Engineering
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