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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Publicado por Elsevier Science Publishing Co Inc, US, 2016
ISBN 10: 0128054808 ISBN 13: 9780128054802
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Añadir al carritoPaperback. Condición: New. Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors.
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Publicado por Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128054808 ISBN 13: 9780128054802
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
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Publicado por Academic Press 2016-09-26, 2016
ISBN 10: 0128054808 ISBN 13: 9780128054802
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Idioma: Inglés
Publicado por IEEE Computer Society Press,U.S., 1995
ISBN 10: 0818668474 ISBN 13: 9780818668470
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Añadir al carritoCondición: Gut. Zustand: Gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Idioma: Inglés
Publicado por IEEE Computer Society Press,U.S., 1995
ISBN 10: 0818668474 ISBN 13: 9780818668470
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 284 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Añadir al carritoKartoniert / Broschiert. Condición: New. Assists statisticians, epidemiologists, medical researchers, and actuaries who need to understand the mechanism of selection bias Reviews existing works on survival analysis for truncated data, mainly focusing on the estimation of univaria.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2016
ISBN 10: 0128054808 ISBN 13: 9780128054802
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New. Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors.
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 102 pages. 10.50x8.25x0.25 inches. In Stock. This item is printed on demand.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! In the mathematical subfield of numerical analysis, numerical stability is a desirable property of numerical algorithms. The precise definition of stability depends on the context, but it is related to the accuracy of the algorithm. A related phenomenon is instability. Typically, algorithms would approach the right solution in the limit, if there were no round-off or truncation errors, but depending on the specific computational method small errors can be magnified, instead of damped, leading to large errors. Sometimes a single calculation can be achieved in several ways, all of which are algebraically equivalent in terms of ideal real or complex numbers, but in practice when performed on digital computers yield different results. Some calculations might damp out approximation errors that occur; others might magnify such errors. Calculations that can be proven not to magnify approximation errors are called numerically stable. One of the common tasks of numerical analysis is to try to select algorithms which are robust that is to say, have good numerical stability among other desirable properties.
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128054808 ISBN 13: 9780128054802
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 144 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. Data Truncation | Data Stream, Serialization, Abstract Syntax Notation One | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786133229587 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. Numerical stability | Mathematics, Numerical Analysis, Algorithm, Numerical Linear Algebra, Function, Round-off Error, Truncation Error, Data Error | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130336264 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Data truncationoccurs when data or a data stream (such as a file) is stored in alocation too short to hold its entire length. Data truncation may occurautomatically, such as when a long string is written to a smallerbuffer, or deliberately, when only a portion of the data is wanted.Depending on what type of data validation a program or operating systemhas, the data may be truncated silently (i.e., without informing theuser), or the user may be given an error message.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.