9789811520341 - quantitative economics with r: a data science approach di dayal, vikram (15 risultati)
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Da: SpringBooks, Berlin, GermaniaSpringBooks
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Hardcover. Condizione: Very Good. 1. Auflage. unread, cover with shelfwear or minor damages.
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 91,84
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. pp. XV, 326 300 illus., 89 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 90,71
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Condizione: New. pp. XV, 326 300 illus., 89 illus. in color.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 92,08
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Condizione: New. pp. XV, 326 300 illus., 89 illus. in color.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 116,10
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Condizione: New. In English.
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham¿s tidyverse package for different parts of t…he data analysis workflow. After a gentle introduction to R code, the reader¿s R skills are gradually honed, with the help of ¿your turn¿ exercises. At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inferenceis illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods¿generalized additive models and random forests (an important and versatile machine learning method)¿are introduced intuitively with applications. The book will be of great interest to economists¿students, teachers, and researchers alike¿who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 122,23
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Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 137,14
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a contemporary treatment of quantitative economics, with a focus ondata science. The book introduces the readerto Rand RStudio, and uses expert Hadley Wickham's tidyverse packagefor different parts of the data analysis workflow. Aftera… gentleintroductionto R code, the reader'sR skills are gradually honed, with the help of 'your turn' exercises.At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the readerwill beginusing the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operationsisalsocovered.The book uses Monte Carlo simulation tounderstandprobability and statistical inference, and the bootstrap isintroduced. Causal inferenceis illuminated using simulation, data graphs,and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models ispresented, before the book introduces the reader to time series data analysis with graphs, simulation,andexamples.Lastly, twocomputationally intensivemethods-generalized additive models andrandom forests (an important and versatile machine learning method)-are introduced intuitively with applications.The book will beof great interest to economists-students, teachers,and researchersalike-who want to learn R.It will help economics students gainan intuitive appreciation of applied economicsand enjoy engagingwith the material actively, while also equipping them with key data science skills.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 181,85
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Hardcover. Condizione: Brand New. 344 pages. 9.25x6.10x0.87 inches. In Stock.
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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 189,00
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Hardcover. Condizione: gut. 2020. Quantitative Economics with R In deutscher Sprache. pages.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 102,25
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Feb 2020, 2020
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 128,39
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a contemporary treatment of quantitative economics, with a focus ondata science. The book introduces the readerto Rand RStudio, and uses expert Hadley Wickham's tidyverse packagefor different parts of the data analysis…workflow. Aftera gentleintroductionto R code, the reader'sR skills are gradually honed, with the help of 'your turn' exercises.At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the readerwill beginusing the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operationsisalsocovered.The book uses Monte Carlo simulation tounderstandprobability and statistical inference, and the bootstrap isintroduced. Causal inferenceis illuminated using simulation, data graphs,and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models ispresented, before the book introduces the reader to time series data analysis with graphs, simulation,andexamples.Lastly, twocomputationally intensivemethods-generalized additive models andrandom forests (an important and versatile machine learning method)-are introduced intuitively with applications.The book will beof great interest to economists-students, teachers,and researchersalike-who want to learn R.It will help economics students gainan intuitive appreciation of applied economicsand enjoy engagingwith the material actively, while also equipping them with key data science skills. 344 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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EUR 107,09
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Employs a popular data science approach while discussing concepts and applications related to economicsExplains causal inferences with the aid of simulations, data graphs, and sample applicationsIntrodu…ces readers to two versati.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 128,39
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham's tidyverse package for different parts of the data analysis…workflow. After a gentle introduction to R code, the reader's R skills are gradually honed, with the help of 'your turn' exercises.At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). Very early on, the reader will begin using the popular ggplot2 package for visualizing data, even making basic maps. The use of R in understanding functions, simulating difference equations, and carrying out matrix operations is also covered. The book uses Monte Carlo simulation to understand probability and statistical inference, and the bootstrap is introduced. Causal inferenceis illuminated using simulation, data graphs, and R code for applications with real economic examples, covering experiments, matching, regression discontinuity, difference-in-difference, and instrumental variables. The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples. Lastly, two computationally intensive methods-generalized additive models and random forests (an important and versatile machine learning method)-are introduced intuitively with applications.The book will be of great interest to economists-students, teachers, and researchers alike-who want to learn R. It will help economics students gain an intuitive appreciation of applied economics and enjoy engaging with the material actively, while also equipping them with key data science skills.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 344 pp. Englisch.
