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Focusing on forensic examples but useful for anyone working in a laboratory, this volume enables researchers to get the most out of their;
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with R for Forensic Sciences minimizes theory and mathematics and focuses on the application and practice of statistics to provide researchers;
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interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and;
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scientist with the necessary statistical tools and methodology to introduce forensic glass evidence into the laboratory. With free software;
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students. It uniquely combines a hands-on approach to data analysis - supported by numerous real data examples and reusable [R] code - with a;
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important technological innovations in forensic genetics. For those newer to the field, the volume will be an invaluable reference guide to the;
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applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation;
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Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical;
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science. Starting with a broad introduction of modern forensic molecular technologies, the text covers key issues from the initial scenes of crime;
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science. Starting with a broad introduction of modern forensic molecular technologies, the text covers key issues from the initial scenes of crime;
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MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction;
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practical guide to help you put your data analysis skills in R to practical use Who This Book Is For This book is for data scientists, analysts;
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The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to;
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will provide even the novice programmer with the tools necessary to process and analyze their data using the R environment. Introductory;
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in Forensic Stylistics documents current advances in this field, including quantitative methods of data analysis, a new way to provide scientific;
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of forensic evidence The third edition of Statistics and the Evaluation of Evidence for Forensic Scientists is fully updated to provide the latest;
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applied computer scientists developing new tools for visualization and analysis of 3D data. The book forms a natural methods focused complement to;
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The Forensic Chemistry Handbook provides both practicing forensic scientists and beginners with a concise, but not trivial introduction to;
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exploring data analysis principles and practice using MATLAB (R), Mathematica, Mathcad, and other modern equation solving software. Part I, for;
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to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered;
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to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered;
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This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;
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lays the foundation for future forensic facial comparison, computer applications development, and research in face shape variation and analysis;
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This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different;
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This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different;
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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students;
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animal pedigrees and/or analysis of plants for agriculture purposes. The book contains necessary tools to evaluate any type of forensic case;
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