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This book provides an extensive overview of the principles and methods of sample size calculation and... Læs mere
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This book provides an introduction to quantitative marketing with Python. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS;
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This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities.
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This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M.
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This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management.
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Since GFs are not widely utilized amongst the tracking community, the book takes the reader from the basics of the subject to applications of theory... Læs mere
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Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems.
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This SpringerBriefs employs a novel approach to obtain the precise asymptotic... Læs mere
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This book discusses the mathematical simulation of biological systems, with a focus on the modeling of gene expression, gene regulatory networks and stem cell regeneration.
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This book takes a unique approach to explaining permutation statistics by integrating permutation statistical methods with a wide range of classical statistical methods and associated R programs.
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This book constitutes the proceedings of the 8th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in June 2021.