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Introduction To Analysis Of Financial Data With R

topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental;

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R Programming and Its Applications in Financial Mathematics

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate;

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R Programming and Its Applications in Financial Mathematics

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate students;

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Statistical Analysis of Financial Data: With Examples in R

Hands-on analysis of actual financial data Accessible coverage of statistical methods Exercises to reinforce concepts;

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Applied Probabilistic Calculus for Financial Engineering

illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and;

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Statistical Analysis of Financial Data in S-plus

to practitioners with financial data analysis concerns.;

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Introduction to the Theories and Varieties of Modern Crime in Financial Markets

characterize modern financial markets. The first two sections appeal to readers with technical backgrounds, describing data analysis and ways;

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Magnetic Resonance Brain Imaging

statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for;

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Financial Analysis with Microsoft Excel

with Mayes' FINANCIAL ANALYSIS WITH MICROSOFT (R) EXCEL (R), 9E. This edition provides a reader-friendly solid foundation in corporate finance;

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Computational Statistics

starting point to access the rich information that comes bundled with R. Accessible to a broad audience, this book explores key topics in data;

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R Data Analysis Cookbook -

how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks;

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Financial Analysis with Microsoft (R) Excel (R) 2016,

FINANCIAL ANALYSIS WITH MICROSOFT (R) EXCEL (R) 2016, 8E, equips you with a solid foundation in corporate finance while helping you maximize the;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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A Primer in Biological Data Analysis and Visualization Using R

R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data;

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Introduction To Time Series Analysis & F

featuring PowerPoint(R) slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second;

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R for Data Science Cookbook

encountered while performing data analysis. Style and approach This easy-to-follow guide is full of hands-on examples of data analysis with R;

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Event History Analysis with R

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and;

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Statistics for Data Scientists

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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Option Pricing and Estimation of Financial Models with R

series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets;

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An Introduction to Data Analysis in R

This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;

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Statistics and Data Analysis for Financial Engineering

for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this;

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An Introduction to Applied Multivariate Analysis with R

apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as;

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Qualitative and Mixed Methods Data Analysis Using Dedoose

Qualitative and Mixed Methods Data Analysis Using Dedoose (R): A Practical Approach for Research Across the Social Sciences provides both;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Introduction to Data Analysis with R for Forensic Scientists

researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis;

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Flow of Funds Analysis

introduction to the interconnection between these research fields. It thus provides the reader with the intellectual groundwork indispensable for;

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