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A valuable new edition of the trusted, practical guide to managing data in clinical trials Regardless of size, type, or complexity, accurate results for any clinical trial are ultimately determined by the quality of the collected data. Management of Data in Clinical...
Editeur :
Wiley-Interscience
Parution :
2007-07-30
Collection :
Wiley Series in Probability and Statistics
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Time series and random ?elds are main topics in modern statistical techniques. They are essential for applications where randomness plays an important role. Indeed, physical constraints mean that serious modelling cannot be done - ing only independent sequences. This is...
Editeur :
Springer
Parution :
2007-07-29
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There are a wide range of variables for actuaries to consider when calculating a motorist's insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists' rates are subject to experience rating systems, including credibility mechanisms...
Editeur :
Wiley-Interscience
Parution :
2007-07-27
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This graduate level text covers the theory of stochastic integration, an important area of Mathematics that has a wide range of applications, including financial mathematics and signal processing. Aimed at graduate students in Mathematics, Statistics, Probability,...
Editeur :
OUP Oxford
Parution :
2007-07-26
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The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice Experiments provides an accessible introduction to the construction methods needed to create the best possible designs for use in...
Editeur :
Wiley-Interscience
Parution :
2007-07-13
Collection :
Wiley Series in Probability and Statistics
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Thisbook,likemanyotherbooks,wasdeliveredundertremendousinspiration and encouragement from my teachers, research collaborators, and students. My interest in longitudinal data analysis began with a short course taught jointly by K. Y. Liang and S. L. Zeger at the...
Editeur :
Springer
Parution :
2007-06-30
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From the Reviews: "Gihman and Skorohod have done an excellent job of presenting the theory in its present state of rich imperfection."D.W. Stroock in Bulletin of the American Mathematical Society, 1980
"To call this work encyclopedic would not give an accurate picture...
Editeur :
Springer
Parution :
2007-06-29
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The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector. Quantitative methods are needed to monitor, control and improve the quality of medical processes. Statistical Development of Quality in...
Editeur :
Wiley
Parution :
2007-06-13
Collection :
Statistics in Practice
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This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major role in scientific and social investigations. Arranged in rough...
Editeur :
OUP Oxford
Parution :
2007-06-07
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Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS...
Editeur :
OUP Oxford
Parution :
2007-05-24
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'One of the smartest books of all time' Fortune'The hottest thinker in the world' Sunday TimesEveryone wants to succeed in life. But what causes some of us to be more successful than others? Is it really down to skill and strategy - or something altogether more...
Editeur :
Penguin
Parution :
2007-05-03
ePub
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In recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range...
Editeur :
Wiley
Parution :
2007-04-30
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Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these...
Editeur :
Wiley
Parution :
2007-04-30
Collection :
Wiley Series in Probability and Statistics
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The authority on building empirical models and the fitting of such surfaces to data—completely updated and revised Revising and updating a volume that represents the essential source on building empirical models, George Box and Norman Draper—renowned authorities in...
Editeur :
Wiley-Interscience
Parution :
2007-04-10
Collection :
Wiley Series in Probability and Statistics
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A self-contained, contemporary treatment of the analysis of long-range dependent data Long-Memory Time Series: Theory and Methods provides an overview of the theory and methods developed to deal with long-range dependent data and describes the applications of these...
Editeur :
Wiley-Interscience
Parution :
2007-04-10
Collection :
Wiley Series in Probability and Statistics
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***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other...
Editeur :
Wiley
Parution :
2007-04-04
Collection :
Wiley Series in Probability and Statistics
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Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational Research, Computer Science, and allied subjects, who wish an up-to-date account of the theory and practice of Simulation. Its...
Editeur :
Wiley
Parution :
2007-04-04
Collection :
Wiley Series in Probability and Statistics
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Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely applyBayesian methods due to advances...
Editeur :
Wiley
Parution :
2007-04-04
Collection :
Wiley Series in Probability and Statistics
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Stochastic ordering is a fundamental guide for decision making under uncertainty. It is also an essential tool in the study of structural properties of complex stochastic systems. This reference text presents a comprehensive coverage of the various notions of stochastic...
Editeur :
Springer
Parution :
2007-04-03
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A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design...
Editeur :
Wiley-Interscience
Parution :
2007-03-07
Collection :
Wiley Series in Probability and Statistics
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