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Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;
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Quantitative Methods in Archaeology Using R is the first hands-on guide to using the R statistical computing system written specifically;
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Quantitative Analysis in Archaeology introduces the application of quantitative methods in archaeology. It outlines conceptual and;
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Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R);
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The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and;
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using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as;
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Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and;
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Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and;
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. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and;
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Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;
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Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;
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using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as;
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the tools available in R. * Contain different methods to manage risk and explore trading using Machine Learning. Who This Book Is For;
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quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings;
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Quantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source;
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in Archaeology conference (CAA), hosted at Paris 1 Pantheon-Sorbonne University from 22nd to 25th April 2014. The program was divided into different;
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Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy;
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be;
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Using real-life examples from the banking and insurance industries, Quantitative Operational Risk Models details how internal data can be;
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datasets contributed by researchers working in a variety of sub-disciplines of linguistics * Uses R, the statistical software package most;
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datasets contributed by researchers working in a variety of sub-disciplines of linguistics * Uses R, the statistical software package most;
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Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods;
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archaeology) to illustrate quantitative data techniquesIntegrates quantitative techniques with theoretical fluency, encouraging the reader to;
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theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful;
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CAA is the foremost conference on digital archaeology, and this volume offers a comprehensive and up-to date reference to the state of the;
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scales using worked examples and common software packages. It complements the author's previous books, Fundamentals of Ecotoxicology, Third;
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