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Simulation for Data Science with R

Templ, Matthias

9781785881169 - Simulation for Data Science with R

Artikelomschrijving

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies * A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation * This book is written by the Amazon best-selling author of Learning Statistics (The easier Way) with R Who This Book Is For This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required. What You Will Learn * The book aims to explore advanced R features to simulate data to extract insights from your data. * Get to know the advanced features of R including high-performance computing and advanced data manipulation * See random number simulation used to simulate distributions, data sets, and populations * Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations * Applications to design statistical solutions with R for solving scientific and real world problems * Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more. In Detail Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world. The book will provide a computational and methodological framework for statistical simulation to the users. Through this

Specificaties

Auteur Templ, Matthias
ISBN/EAN 9781785881169
Druk 1
€ 39,97 € 44,41
Verwachte bezorgdatum: 26-03

Artikelomschrijving

Harness actionable insights from your data with computational statistics and simulations using R About This Book * Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies * A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation * This book is written by the Amazon best-selling author of Learning Statistics (The easier Way) with R Who This Book Is For This book is for users who are familiar with computational methods. If you want to learn about the advanced features of R, including the computer-intense Monte-Carlo methods as well as computational tools for statistical simulation, then this book is for you. Good knowledge of R programming is assumed/required. What You Will Learn * The book aims to explore advanced R features to simulate data to extract insights from your data. * Get to know the advanced features of R including high-performance computing and advanced data manipulation * See random number simulation used to simulate distributions, data sets, and populations * Simulate close-to-reality populations as the basis for agent-based micro-, model- and design-based simulations * Applications to design statistical solutions with R for solving scientific and real world problems * Comprehensive coverage of several R statistical packages like boot, simPop, VIM, data.table, dplyr, parallel, StatDA, simecol, simecolModels, deSolve and many more. In Detail Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be a powerful combination to solve complexities involved with varied data sets in the real world. The book will provide a computational and methodological framework for statistical simulation to the users. Through this

Specificaties

Auteur Templ, Matthias
ISBN/EAN 9781785881169
Druk 1