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Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten... Læs mere
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Effort data used for removals can also be used.A very important method for estimating abundance is the use of capture-recapture data collected discretely or continuously and can be analysed using both frequency and Bayesian methods.
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This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a... Læs mere
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The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies.
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This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global health research and decision-making.
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Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles
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This book should be of interest to undergraduate and postgraduate students of probability theory.
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Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program in data science without knowing enough statistics.
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Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area and it can be applied to every technical and management field. This monograph provides the most recent advances and achievements in reliability and maintenance.
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This textbook will continue to be the best suitable textbook written specifically for a first course on probability theory and designed for industrial engineering... Læs mere