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Sannolikhetskalkyl & matematisk statistik
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Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with …
An applied introduction to probability and statistics, now in a practical, digital eBook format. For a one- or two-semester course; calculus background presumed, no previous study …
This new edition presents the essential topics in probability and statistics from a rigorous standpoint. Any discipline involving randomness, including medicine, engineering, and …
A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific disciplines reliant on data analysis. This book …
This book describes many types of Conference matrices and shows the case studies of application. Also, this book deals with putting the operation procedure and data analysis for …
This volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and papers presenting original and current research. It …
Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of …
This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a …
As Bayesian techniques become more common across a variety of fields, it becomes important for experts in those fields to understand those methods. An Introductory Handbook of …
This textbook provides a unique instructional resource in experimental Physical Chemistry with case studies based on data taken from the scientific literature. Platform-independent …