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This book provides a concise introduction to the topic of the Rasch model, which has become relatively well-known since it was used in the PISA... Læs mere
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This book intends to serve a very broad audience of college students across a variety of disciplines. It exposes its readers to some of the basic tools and... Læs mere
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The primary focus of this book is on providing an understanding of statistical properties behind econometric methods. By concentrating on dynamic structural linear... Læs mere
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This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems.
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This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology.
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This book presents similarity between Gaussian and non-Gaussian stable multivariate distributions and introduces the one-dimensional stable random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.
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Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
Bemærk: Kan ikke leveres før jul.
Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
Bemærk: Kan ikke leveres før jul.