data modeling metrology testing (17 risultati)

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Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. 2009.

Condizione: New. This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The main focus is on techniques having a broad range of real-world applications. Editor(s): Pavese, Franco; Forbes, Alistair B. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 504 pages, 111 black & white illustrations, 31 black & white tables, biography. BIC Classification: PBW; PH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 28. Weight in Grams: 926. . 2008. 2009th Edition. Hardcover. . . . .

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this book is to provide, rstly, an introduction to probability and statistics especially directed to the metrology and testing elds and secondly, a comprehensive, newer set of modelling methods for data and uncertainty analysis that are generally not considered yet within mainstream methods. The book brings, for the rst time, a coherent account of these newer me- ods and their computational implementation. They are potentially important because they address problems in application elds where the usual hypot- ses that are at the basis of most of the traditional statistical and probabilistic methods, for example, relating to normality of the probability distributions, are frequently not ful lled to such an extent that an accurate treatment of the calibration or test data using standard approaches is not possible. Additi- ally, the methods can represent alternative ways of data analysis, allowing a deeper understanding of complex situations in measurement. The book lends itself as a possible textbook for undergraduate or postgraduate study in an area where existing texts focus mainly on the most common and well-known methods that do not encompass modern approaches to calibration and testing problems. The book is structured in such a way to guide readers with only a g- eral interest in measurement issues through a series of review papers, from an initial introduction to modelling principles in metrology and testing, to the basic principles of probability in metrology and statistical approaches to - certainty assessment.

Hardback. Condizione: New. 2009.

Hardcover. Condizione: Brand New. hardback/dvd edition. 489 pages. 9.25x6.25x1.00 inches. In Stock.

Condizione: New. This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The main focus is on techniques having a broad range of real-world applications. Editor(s): Pavese, Franco; Forbes, Alistair B. Series: Modeling and Simulation in Science, Engineering and Technology. Num Pages: 504 pages, 111 black & white illustrations, 31 black & white tables, biography. BIC Classification: PBW; PH. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 28. Weight in Grams: 926. . 2008. 2009th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Sehr gut. sehr gu, mit cd, book is fine, probably not used, with CD (NURA-641 Language: DEU.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Takes the reader beyond mainstream methods described in standard texts on data and uncertainty analysisReal-world applications in a variety of fields, including chemistry, software engineering, and metrologyFor a broad audience of graduate .

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to provide, rstly, an introduction to probability and statistics especially directed to the metrology and testing elds and secondly, a comprehensive, newer set of modelling methods for data and uncertainty analysis that are generally not considered yet within mainstream methods. The book brings, for the rst time, a coherent account of these newer me- ods and their computational implementation. They are potentially important because they address problems in application elds where the usual hypot- ses that are at the basis of most of the traditional statistical and probabilistic methods, for example, relating to normality of the probability distributions, are frequently not ful lled to such an extent that an accurate treatment of the calibration or test data using standard approaches is not possible. Additi- ally, the methods can represent alternative ways of data analysis, allowing a deeper understanding of complex situations in measurement. The book lends itself as a possible textbook for undergraduate or postgraduate study in an area where existing texts focus mainly on the most common and well-known methods that do not encompass modern approaches to calibration and testing problems. The book is structured in such a way to guide readers with only a g- eral interest in measurement issues through a series of review papers, from an initial introduction to modelling principles in metrology and testing, to the basic principles of probability in metrology and statistical approaches to - certainty assessment. 512 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The focus is on techniques having a broad range of real-world applications in a variety of fields.Data Modeling for Metrology and Testing in Measurement Science may be used as a textbook in graduate courseson data modeling and computational methods, or as a training manual in the fields of calibration and testing. The book will also serve as an excellent reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurementscience.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 512 pp. Englisch.