A Practitioner`s Guide to Resampling for Data Analysis, Data Mining, and Modeling, Good, Phillip

Автор: Holmes Susan
Название: Modern Statistics for Modern Biology
ISBN: 1108705294 ISBN-13(EAN): 9781108705295
Издательство: Cambridge Academ
Рейтинг:
Цена: 54910.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.

Автор: Bradley Efron
Название: The Jackknife, the Bootstrap and Other Resampling Plans
ISBN: 0898711797 ISBN-13(EAN): 9780898711790
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 48490.00 T
Наличие на складе: Невозможна поставка.
Описание: Connects the jackknife, the bootstrap, and many other related ideas such as cross-validation, random subsampling, and balanced repeated replications into a unified exposition. The theoretical development is at an easy mathematical level and is supplemented by a large number of numerical examples.

Автор: S. N. Lahiri
Название: Resampling Methods for Dependent Data
ISBN: 1441918485 ISBN-13(EAN): 9781441918482
Издательство: Springer
Рейтинг:
Цена: 153720.00 T
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.

Автор: Bose
Название: U-Statistics, Mm-Estimators and Resampling
ISBN: 9811322473 ISBN-13(EAN): 9789811322471
Издательство: Springer
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.

Автор: Good Phillip I
Название: Introduction to Statistics Through Resampling Methods and R
ISBN: 1118428218 ISBN-13(EAN): 9781118428214
Издательство: Wiley
Рейтинг:
Цена: 59080.00 T
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: Arup Bose; Snigdhansu Chatterjee
Название: U-Statistics, Mm-Estimators and Resampling
ISBN: 9811347565 ISBN-13(EAN): 9789811347566
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Поставка под заказ.
Описание: This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.

Автор: Bruce
Название: Introductory Statistics and Analytics - A Resampling Perspective
ISBN: 1118881354 ISBN-13(EAN): 9781118881354
Издательство: Wiley
Рейтинг:
Цена: 67530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Peter [Bruce] has provided relevant, newsworthy and interesting examples, and, he has the reader doing all sorts of experiments ... for getting the feel of the statistical process. I believe the topics cover the waterfront of what a primer should consist of. " From a User at Statistics.

Автор: Good
Название: Introduction to Statistics Through Resampling Methods and Microsoft Office Excel
ISBN: 0471731919 ISBN-13(EAN): 9780471731917
Издательство: Wiley
Рейтинг:
Цена: 106600.00 T
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: Ziawasch Abedjan, Lukasz Golab, Felix Naumann, Thorsten Papenbrock
Название: Data Profiling
ISBN: 168173446X ISBN-13(EAN): 9781681734460
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 66530.00 T
Наличие на складе: Невозможна поставка.
Описание: Data profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies.This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.

Автор: Ziawasch Abedjan, Lukasz Golab, Felix Naumann, Thorsten Papenbrock
Название: Data Profiling
ISBN: 1681734486 ISBN-13(EAN): 9781681734484
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 87780.00 T
Наличие на складе: Невозможна поставка.
Описание: Data profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies.This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.

Автор: Jones Herbert
Название: Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing, Data Visualization, Regression Analysis, Database
ISBN: 1647483263 ISBN-13(EAN): 9781647483265
Издательство: Неизвестно
Рейтинг:
Цена: 27580.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Jamie D. Riggs
Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data
ISBN: 1316601056 ISBN-13(EAN): 9781316601051
Издательство: Cambridge Academ
Рейтинг:
Цена: 40130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.