Librería: A Team Books, Conway, AR, Estados Unidos de America
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Publicado por Chapman and Hall/CRC (edition 1), 2021
ISBN 10: 0367436671 ISBN 13: 9780367436674
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Añadir al carritoHardcover. Condición: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Chapman and Hall/CRC 2021-11-26, 2021
ISBN 10: 0367436671 ISBN 13: 9780367436674
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Taylor & Francis Ltd, London, 2021
ISBN 10: 0367436671 ISBN 13: 9780367436674
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 141,11
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Añadir al carritoHardcover. Condición: new. Hardcover. This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.The exercises in the book have been added to to the free and open online homework system myopenmath /) which may be useful to instructors. This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections via simulations, data wrangling and/or data visualization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 136,28
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Añadir al carritoHardcover. Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 512 pages. 10.00x7.00x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2021
ISBN 10: 0367436671 ISBN 13: 9780367436674
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 227,27
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Añadir al carritoHardcover. Condición: new. Hardcover. This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.The exercises in the book have been added to to the free and open online homework system myopenmath /) which may be useful to instructors. This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections via simulations, data wrangling and/or data visualization. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 260,13
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Añadir al carritoCondición: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 291,93
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Añadir al carritoCondición: New. 2021. 1st Edition. Hardcover. . . . . .
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 116,99
Cantidad disponible: 5 disponibles
Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 138,53
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 149,09
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Librería: moluna, Greven, Alemania
EUR 102,65
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Darrin Speegle has 25 years of experience teaching probability and statistics at Saint Louis University, where he is a Professor and the Director of Data Science. He served as the program committee chair on the organizing team for UseR!2020 in St.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 171,68
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a first course in probability and statistics using R. The book assumes a mathematical background of Calculus II, though much of the book can be read with a much lower level of mathematics. The book incorporates R throughout all sections via simulations, data wrangling and/or data visualization.