A Practitioner`s Guide to Resampling for Data Analysis, Data Mining, and Modeling, Good, Phillip
Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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: Jiao Hong, Lissitz Robert W. Название: Enhancing Effective Instruction and Learning Using Assessment Data ISBN: 1648026273 ISBN-13(EAN): 9781648026270 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14692.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning.
Автор: David Nettleton Название: Commercial Data Mining ISBN: 0124166024 ISBN-13(EAN): 9780124166028 Издательство: Elsevier Science Рейтинг: Цена: 6230.00 р. Наличие на складе: Поставка под заказ.
Описание: Helps you learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. This book guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling.
Автор: Jiao Hong, Lissitz Robert W. Название: Enhancing Effective Instruction and Learning Using Assessment Data ISBN: 1648026265 ISBN-13(EAN): 9781648026263 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7900.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning.
Автор: Good Phillip I Название: Introduction to Statistics Through Resampling Methods and R ISBN: 1118428218 ISBN-13(EAN): 9781118428214 Издательство: Wiley Рейтинг: Цена: 8862.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see... it would make a good nightstand book for every statistician.
Автор: Ratner, Bruce Название: Statistical and Machine-Learning Data Mining: ISBN: 0367573601 ISBN-13(EAN): 9780367573607 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote.
Автор: Westfall Название: Resampling-Based Multiple Testing ISBN: 0471557617 ISBN-13(EAN): 9780471557616 Издательство: Wiley Рейтинг: Цена: 29930.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combines recent developments in resampling technology (including the bootstrap) with new methods for multiple testing that are easy to use, convenient to report and widely applicable. Software from SAS Institute is available to execute many of the methods and programming is straightforward for other applications.
Автор: S. N. Lahiri Название: Resampling Methods for Dependent Data ISBN: 1441918485 ISBN-13(EAN): 9781441918482 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: By giving a detailed account of bootstrap methods and their properties for dependent data, this book provides illustrative numerical examples throughout.
Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
Автор: Ratner Bruce Название: Statistical and Machine-Learning Data Mining ISBN: 1439860912 ISBN-13(EAN): 9781439860915 Издательство: Taylor&Francis Рейтинг: Цена: 9033.00 р. Наличие на складе: Поставка под заказ.
Описание: Rev. ed. of: Statistical modeling and analysis for database marketing. c2003.
Distribution-free resampling methods--permutation tests, decision trees, and the bootstrap--are used today in virtually every research area. A Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling explains how to use the bootstrap to estimate the precision of sample-based estimates and to determine sample size, data permutations to test hypotheses, and the readily-interpreted decision tree to replace arcane regression methods.
Highlights
Each chapter contains dozens of thought provoking questions, along with applicable R and Stata code
Methods are illustrated with examples from agriculture, audits, bird migration, clinical trials, epidemiology, image processing, immunology, medicine, microarrays and gene selection
Lists of commercially available software for the bootstrap, decision trees, and permutation tests are incorporated in the text
Access to APL, MATLAB, and SC code for many of the routines is provided on the author's website
The text covers estimation, two-sample and k-sample univariate, and multivariate comparisons of means and variances, sample size determination, categorical data, multiple hypotheses, and model building
Statistics practitioners will find the methods described in the text easy to learn and to apply in a broad range of subject areas from A for Accounting, Agriculture, Anthropology, Aquatic science, Archaeology, Astronomy, and Atmospheric science to V for Virology and Vocational Guidance, and Z for Zoology.
Practitioners and research workers and in the biomedical, engineering and social sciences, as well as advanced students in biology, business, dentistry, medicine, psychology, public health, sociology, and statistics will find an easily-grasped guide to estimation, testing hypotheses and model building.
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