R Data Analysis without Programming, Gerbing, David W.
Старое издание
Автор: Gerbing, David W. Название: R Data Analysis without Programming ISBN: 041564173X ISBN-13(EAN): 9780415641739 Издательство: Taylor&Francis Цена: 153120 T Наличие на складе: Нет в наличии.
Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.
Автор: Currell Graham Название: Scientific Data Analysis ISBN: 0198712545 ISBN-13(EAN): 9780198712541 Издательство: Oxford Academ Рейтинг: Цена: 50680.00 T 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: Berkachy Rйdina Название: The Signed Distance Measure in Fuzzy Statistical Analysis: Theoretical, Empirical and Programming Advances ISBN: 3030769151 ISBN-13(EAN): 9783030769154 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy.
Автор: Baltagi Badi H. Название: Econometric Analysis of Panel Data ISBN: 3030539520 ISBN-13(EAN): 9783030539528 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- The One-Way Error Component Regression Model.- The Two-Way Error Component Regression Model.- Test of Hypotheses with Panel Data.- Heteroskedasticity and Serial Correlation in the Error Component Model.- Seemingly Unrelated Regressions with Error Components.- Simultaneous Equations with Error Components.- Dynamic Panel Data Models.- Unbalanced Panel Data Models.- Special Topics.- Limited Dependent Variables and Panel Data.- Nonstationary Panels.- Spatial Panel Data Models.
Автор: Robert Nisbet , Gary Miner, Ken Yale Название: Handbook of Statistical Analysis and Data Mining Applications, 2 ed. ISBN: 0124166326 ISBN-13(EAN): 9780124166325 Издательство: Elsevier Science Рейтинг: Цена: 88690.00 T Наличие на складе: Поставка под заказ. Описание:
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application.
This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas--from science and engineering, to medicine, academia and commerce.
Includes input by practitioners for practitioners
Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models
Contains practical advice from successful real-world implementations
Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions
Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
Автор: Ohri Название: SAS for R Users: Data Science and Business Analyti cs ISBN: 1119256410 ISBN-13(EAN): 9781119256410 Издательство: Wiley Рейтинг: Цена: 97100.00 T 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: Vibrant Publishers Название: SAS Programming Guidelines Interview Questions Youll Most Likely Be Asked ISBN: 1946383767 ISBN-13(EAN): 9781946383761 Издательство: Gazelle Book Services Рейтинг: Цена: 25730.00 T Наличие на складе: Невозможна поставка. Описание: SAS Programming Guidelines Interview Questions Youll Most Likely Be Asked is a perfect companion to stand ahead above the rest in todays competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the drivers seat and helps them steer their way to impress the interviewer.
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: 74410.00 T Наличие на складе: Нет в наличии. 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.
Автор: Lange, Kenneth Название: Algorithms from the book ISBN: 1611976162 ISBN-13(EAN): 9781611976168 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 59770.00 T Наличие на складе: Нет в наличии. Описание: Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics.This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks.Algorithms from THE BOOK:Incorporates Julia code for easy experimentation.Is written in clear, concise prose consistent with mathematical rigour.Includes a large number of classroom-tested exercises at the end of each chapter.Covers background material, often omitted from undergraduate courses, in the appendices.This textbook is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.
Автор: Nelimarkka Matti Название: Computational thinking and social science ISBN: 1526497913 ISBN-13(EAN): 9781526497918 Издательство: Sage Publications Рейтинг: Цена: 48570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides fundamental understanding into computational social science, helping students build basic familiarity with programming and an in-depth understanding into the challenges and benefits within the field.
Автор: Gerbing, David W. Название: R Data Analysis without Programming ISBN: 041564173X ISBN-13(EAN): 9780415641739 Издательство: Taylor&Francis Рейтинг: Цена: 153120.00 T Наличие на складе: Нет в наличии.
Автор: Mitzenmacher Название: Probability and Computing ISBN: 110715488X ISBN-13(EAN): 9781107154889 Издательство: Cambridge Academ Рейтинг: Цена: 54910.00 T 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.
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