R Data Analysis without Programming, Gerbing, David W.
Новое издание
Автор: Gerbing, David W. Название: R Data Analysis without Programming ISBN: 103224402X ISBN-13(EAN): 9781032244020 Издательство: Taylor&Francis Цена: 21437.00 р. Наличие на складе: Нет в наличии.
Автор: Currell Graham Название: Scientific Data Analysis ISBN: 0198712545 ISBN-13(EAN): 9780198712541 Издательство: Oxford Academ Рейтинг: Цена: 8488.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Drawing on the author`s extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way.
Автор: Ohri Название: SAS for R Users: Data Science and Business Analyti cs ISBN: 1119256410 ISBN-13(EAN): 9781119256410 Издательство: Wiley Рейтинг: Цена: 14565.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Professor Pippy P. Poopypants may be the greatest scientific genius the world has ever known. Unfortunately, he has such a silly name that nobody takes him seriously! He`s been laughed out of every major university in the world.
In fact, the only place that`ll hire him is Jerome Horwitz Elementary School. Hopefully, nobody at the school will laugh at his name (or make a comic book about him)....
...Because if just one more person makes fun of Poopypants, it might just drive him OFF THE DEEP END!
Needless to say, George and Harold poo-poo Poopypants`s pride -- practically pulverizing it to pieces -- and, hence, Poopypants is preparing to pounce!
Step up to witness a brief encounter of the cottony kind. This looks exactly like a job for The Amazing CAPTAIN UNDERPANTS!
Jorge y Berto no son malos chicos. Lo que pasa es que les gusta animar las cosas de vez en cuando. Asi, sin proponerselo, estan a punto de hacer que el profesor Pipicaca, un cientifico enloquecido y sin escrupulos que se encuentra a bordo de un robot gigantesco, se apodere del planeta entero. Quien desbaratara los perversos planes de Pipicaca? Un nuevo trabajo para el Capitan Calzoncillos!
Автор: Heeringa Название: Applied Survey Data Analysis, Second Edition ISBN: 1498761607 ISBN-13(EAN): 9781498761604 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Нет в наличии.
Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.
Описание: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master.
Автор: Washington, Simon Mannering, Fred (university Of S Название: Statistical and econometric methods for transportation data analysis ISBN: 0367199025 ISBN-13(EAN): 9780367199029 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.
Автор: Gerbing, David W. Название: R Data Analysis without Programming ISBN: 0415657202 ISBN-13(EAN): 9780415657204 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Нет в наличии.
Автор: Gerbing, David W. Название: R Data Analysis without Programming ISBN: 103224402X ISBN-13(EAN): 9781032244020 Издательство: Taylor&Francis Рейтинг: Цена: 21437.00 р. Наличие на складе: Нет в наличии.
Автор: Mitzenmacher Название: Probability and Computing ISBN: 110715488X ISBN-13(EAN): 9781107154889 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This greatly expanded new edition, requiring only an elementary background in discrete mathematics, comprehensively covers randomization and probabilistic techniques in modern computer science. It includes new material relevant to machine learning and big data analysis, plus examples and exercises, enabling students to learn modern techniques and applications.
Автор: Unpingco Josй Название: Python Programming for Data Analysis ISBN: 3030689514 ISBN-13(EAN): 9783030689513 Издательство: Springer Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
Автор: Unpingco Josй Название: Python Programming for Data Analysis ISBN: 3030689549 ISBN-13(EAN): 9783030689544 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
Автор: Ming-Jun Lai, Yang Wang Название: Sparse Solutions of Underdetermined Linear Systems ISBN: 1611976502 ISBN-13(EAN): 9781611976502 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11161.00 р. Наличие на складе: Поставка под заказ.
Описание: This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
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