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analytical methods used by fisheries' scientists and ecologists. By following the examples using Excel, readers see the nuts and bolts of how the;
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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;
Vergelijkbare producten zoals Using R for Modelling and Quantitative Methods in Fisheries
Using R for Modelling and Quantitative Methods in Fisheries has evolved and been adapted from an earlier book by the same author and;
Vergelijkbare producten zoals Using R for Modelling and Quantitative Methods in Fisheries
reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using;
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research? This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. It offers;
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Using simple and direct language, this concise text provides practical guidance on a wide range of modeling methods and techniques for use;
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. These chapters help you become familiar with R for basic fisheries analyses and graphics. Subsequent chapters focus on methods to analyze age;
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need for data analysis using quantitative modelling. Problem solving using the quantitative approach and other models has always been a hot;
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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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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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The second book in Darbyshire and Hampton s Hedge Fund Modelling and Analysis series, Hedge Fund Modelling and Analysis Using MATLAB(R;
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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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Quantitative Methods in Educational and Social Research Using SPSS bridges the gap between introductory and advanced volumes on;
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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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drainage, low-impact-development (LID) designs, computer modelling techniques, the evaluation of existing systems, and planning for both new;
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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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This book has been written specifically to support shorter courses in statistics and quantitative methods, and aims to make accessible to;
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reference guide for elementary and intermediate statistical analyses using the free/public software package known as "R." The expectations for;
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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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This book has been written specifically to support shorter courses in statistics and quantitative methods, and aims to make accessible to;
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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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, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
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, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using;
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For graduate students and professionals in applied mathematics and quantitative finance, this text provides an overview of the theoretical;
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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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