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This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata.
This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly.
This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from... Læs mere
The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory.
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation.
This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). The book also reports advances on classic but... Læs mere
This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R.
This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-25 June 2021.
This book helps readers easily learn basic model checking by presenting examples, exercises and case studies. For example, biological cells,... Læs mere
This book provides a compact introduction to the theory of measure-valued branching processes, immigration processes and Ornstein–Uhlenbeck type processes. Measure-valued branching processes arise as high density limits of branching particle systems.