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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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Introductory Statistics with R

methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;

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R Programming and Its Applications in Financial Mathematics

are not as suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can;

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R Programming and Its Applications in Financial Mathematics

suitable for small-scale ad-hoc analysis or exploration of financial data. The R programming language overcomes this problem. R can be used for;

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Option Pricing and Estimation of Financial Models with R

covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Computational Statistics

software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic;

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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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Introduction to R for Terrestrial Ecology: Basics of Numerical Analysis, Mapping, Statistical Tests and Advanced Application of R

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Beginning R Statistical Progmng Language

Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.;

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Introduction to R for Terrestrial Ecology

This textbook covers R data analysis related to environmental science, starting with basic examples and proceeding up to advanced;

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Modern Industrial Statistics - With Applications in R, MINITAB and JMP, 3e

appendices Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book Part;

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Statistical Data Analysis Explained

. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the;

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The Statistical Analysis of Doubly Truncated Data - With Applications in R

discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy;

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A Handbook of Statistical Analyses Using R

, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the;

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Advanced R Statistical Programming and Data Models

multiple examples using R to achieve results, and concludes with a case study. Written by Matt and Joshua F. Wiley, Advanced R Statistical;

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Economic and Financial Modelling with EViews

-step approach to equip readers with a toolkit that enables them to make the most of this widely used econometric analysis software. Statistical;

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Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental;

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Biostatistics with R: An Introduction to Statistics Through Biological Data

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their;

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Statistical Application Development with R and Python -

preliminary concepts right away using R and Python. * Understand data modeling and visualization to perform efficient statistical analysis with this;

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Doing Data Science in R

readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires;

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Easy Statistics for Food Science with R

for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data. Contains;

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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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Introduction to Multivariate Statistical Analysis in Chemometrics

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical;

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The R Primer

of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems;

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Introduction To Statistical Data Analysi

A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for;

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Statistical Methods In Biology

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a;

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