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An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and... Læs mere
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The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool.
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For graduate students, practitioners, and sophisticated users, this book offers a tutorial approach to the foundations of random matrix theory for machine... Læs mere
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This book for graduate students in statistics, data science, computer science, machine learning, and mathematics explores the theory of... Læs mere
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Explains the fundamental concepts, uses, and misuses of statistics. This book... Læs mere
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This is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more... Læs mere
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This is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more... Læs mere
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This invaluable, jargon-free guide to essential medical terminology in an accessible A-Z format is ideal for medical, allied health and biomedical... Læs mere
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Introduce your students to the art and science of learning from data. Statistics: The Art and Science of Learning from Data, Global Edition, 5th edition is the... Læs mere
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This workbook teaches students how to use the popular SPSS statistical software program to assess causal relationships using real data. It parallels the main... Læs mere
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This workbook teaches students how to use the popular Stata statistical software program to assess causal relationships using real data. It parallels the main... Læs mere