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Contaminated Samples
1,43 € *
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Contaminated Samples ab 1.43 € als epub eBook: ePub edition. Aus dem Bereich: eBooks, Humor & Cartoons,

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Stand: 16.11.2019
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Estimation of 14-Benzodiazepines in Biological ...
68,00 € *
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Estimation of 14-Benzodiazepines in Biological Samples: ab 68 € als Taschenbuch: HPLC the Versatile Method. Aus dem Bereich: Bücher, Wissenschaft, Medizin,

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Stand: 16.11.2019
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Soul Samples
23,90 € *
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Soul Samples ab 23.9 € als Taschenbuch: Frauen und Kleidung in der Soulmusik und Musik der HipHop Kultur der 80er Jahre. Aus dem Bereich: Bücher, Kunst & Musik,

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Stand: 16.11.2019
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Estimation
152,99 € *
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"Estimation, Tracking and Navigation" - Lehrbuch und Nachschlagewerk in einem: Ein wichtiges Gebiet der Steuerungstheorie mit Anwendungen in Kommunikationssystemen, Maschinenbau, Luftfahrt und Chemietechnik wird in diesem Band ausführlich besprochen. Ungenauigkeiten und Unsicherheiten im Laufe des Abschätzungsprozesses werden quantitativ erfasst.

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Stand: 16.11.2019
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Estimation
152,99 € *
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"Estimation, Tracking and Navigation" - Lehrbuch und Nachschlagewerk in einem: Ein wichtiges Gebiet der Steuerungstheorie mit Anwendungen in Kommunikationssystemen, Maschinenbau, Luftfahrt und Chemietechnik wird in diesem Band ausführlich besprochen. Ungenauigkeiten und Unsicherheiten im Laufe des Abschätzungsprozesses werden quantitativ erfasst.

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Stand: 16.11.2019
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Estimation theory
28,49 € *
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Estimation theory ab 28.49 € als Taschenbuch: Likelihood function Linear regression Linear prediction Likelihood principle Maximum likelihood Estimator Point estimation Interval estimation Ordinary least squares Expectation-maximization algorithm Maximum spacing estimation. Aus dem Bereich: Bücher, English, International, Englische Taschenbücher,

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Stand: 16.11.2019
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Shrinkage Estimation
79,99 € *
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This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric distributions. Chapter 1 reviews the statistical and decision theoretic terminology and results that will be used throughout the book. Chapter 2 is concerned with estimating the mean vector of a multivariate normal distribution under quadratic loss from a frequentist perspective. In Chapter 3 the authors take a Bayesian view of shrinkage estimation in the normal setting. Chapter 4 introduces the general classes of spherically and elliptically symmetric distributions. Point and loss estimation for these broad classes are studied in subsequent chapters. In particular, Chapter 5 extends many of the results from Chapters 2 and 3 to spherically and elliptically symmetric distributions. Chapter 6 considers the general linear model with spherically symmetric error distributions when a residual vector is available. Chapter 7 then considers the problem of estimating a location vector which is constrained to lie in a convex set. Much of the chapter is devoted to one of two types of constraint sets, balls and polyhedral cones. In Chapter 8 the authors focus on loss estimation and data-dependent evidence reports. Appendices cover a number of technical topics including weakly differentiable functions; examples where Stein's identity doesn't hold; Stein's lemma and Stokes' theorem for smooth boundaries; harmonic, superharmonic and subharmonic functions; and modified Bessel functions.

Anbieter: buecher
Stand: 16.11.2019
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Shrinkage Estimation
79,99 € *
ggf. zzgl. Versand

This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric distributions. Chapter 1 reviews the statistical and decision theoretic terminology and results that will be used throughout the book. Chapter 2 is concerned with estimating the mean vector of a multivariate normal distribution under quadratic loss from a frequentist perspective. In Chapter 3 the authors take a Bayesian view of shrinkage estimation in the normal setting. Chapter 4 introduces the general classes of spherically and elliptically symmetric distributions. Point and loss estimation for these broad classes are studied in subsequent chapters. In particular, Chapter 5 extends many of the results from Chapters 2 and 3 to spherically and elliptically symmetric distributions. Chapter 6 considers the general linear model with spherically symmetric error distributions when a residual vector is available. Chapter 7 then considers the problem of estimating a location vector which is constrained to lie in a convex set. Much of the chapter is devoted to one of two types of constraint sets, balls and polyhedral cones. In Chapter 8 the authors focus on loss estimation and data-dependent evidence reports. Appendices cover a number of technical topics including weakly differentiable functions; examples where Stein's identity doesn't hold; Stein's lemma and Stokes' theorem for smooth boundaries; harmonic, superharmonic and subharmonic functions; and modified Bessel functions.

Anbieter: buecher
Stand: 16.11.2019
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Software Project Effort Estimation
66,99 € *
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Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in relation to the environment and context in which it is to be applied. Trendowicz and Jeffery present a comprehensive look at the principles of software effort estimation and support software practitioners in systematically selecting and applying the most suitable effort estimation approach. Their book not only presents what approach to take and how to apply and improve it, but also explains why certain approaches should be used in specific project situations. Moreover, it explains popular estimation methods, summarizes estimation best-practices, and provides guidelines for continuously improving estimation capability. Additionally, the book offers invaluable insights into project management in general, discussing issues including project trade-offs, risk assessment, and organizational learning. Overall, the authors deliver an essential reference work for software practitioners responsible for software effort estimation and planning in their daily work and who want to improve their estimation skills. At the same time, for lecturers and students the book can serve as the basis of a course in software processes, software estimation, or project management.

Anbieter: buecher
Stand: 16.11.2019
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