R Data Analysis without Programming, Gerbing, David W.

Автор: Gerbing, David W.
Название: R Data Analysis without Programming
ISBN: 103224402X ISBN-13(EAN): 9781032244020
Издательство: Taylor&Francis
Цена: 132710 T
Наличие на складе: Нет в наличии.

Автор: Currell Graham
Название: Scientific Data Analysis
ISBN: 0198712545 ISBN-13(EAN): 9780198712541
Издательство: Oxford Academ
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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: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Автор: Baltagi Badi H.
Название: Econometric Analysis of Panel Data
ISBN: 3030539520 ISBN-13(EAN): 9783030539528
Издательство: Springer
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Цена: 60550.00 T
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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: Gerbing, David W.
Название: R Data Analysis without Programming
ISBN: 103224402X ISBN-13(EAN): 9781032244020
Издательство: Taylor&Francis
Рейтинг:
Цена: 132710.00 T
Наличие на складе: Нет в наличии.

Автор: Unpingco Josй
Название: Python Programming for Data Analysis
ISBN: 3030689514 ISBN-13(EAN): 9783030689513
Издательство: Springer
Цена: 51230.00 T
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: Heeringa
Название: Applied Survey Data Analysis, Second Edition
ISBN: 1498761607 ISBN-13(EAN): 9781498761604
Издательство: Taylor&Francis
Рейтинг:
Цена: 91860.00 T
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.

Автор: Mitzenmacher
Название: Probability and Computing
ISBN: 110715488X ISBN-13(EAN): 9781107154889
Издательство: Cambridge Academ
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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.

Автор: Unpingco Josй
Название: Python Programming for Data Analysis
ISBN: 3030689549 ISBN-13(EAN): 9783030689544
Издательство: Springer
Рейтинг:
Цена: 51230.00 T
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)
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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: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 92390.00 T
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

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
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Цена: 121110.00 T
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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: Gerbing, David W.
Название: R Data Analysis without Programming
ISBN: 0415657202 ISBN-13(EAN): 9780415657204
Издательство: Taylor&Francis
Рейтинг:
Цена: 53070.00 T
Наличие на складе: Нет в наличии.