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This book provides instructions to enhance productivity and sustainability by using Quality Engineering Techniques (QET) in statistical and non-statistical projects. It presents an integrated format for better management of traditional processes in industrial factories.
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Presents a practical approach to statistical modeling. This book provides a modelling kit for both deterministic and random elements in models and offers... Læs mere
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This handbook aims to demonstrate the flexibility of Genstat by analysing the wide range of examples discussed in Applied Statistics: Principles and Examples. It shows how to reproduce the tables and results discussed in Applied Statistics.
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Provides a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Showcases applications for... Læs mere
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This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.
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This book gets you up and running with doing complex Bayesian statistics, focussing on applied analysis rather than maths.
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Offers coverage of the statistical ideas and methods useful to the advancement of students in agriculture or experimental biology. Covering... Læs mere
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This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data.
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This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.
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Recent trends in health care across the United States and internationally have emphasized a... Læs mere
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This textbook presents epidemiology in a practical manner, contextualized with discussions of theory and ethics, so that students and professionals from all academic backgrounds may develop a deep appreciation for how to conduct and interpret epidemiological research.