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Statistical Methods for Imbalanced Data in Ecology and Biology, Osamu Komori; Shinto Eguchi


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Цена: 6986.00р.
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Автор: Osamu Komori; Shinto Eguchi
Название:  Statistical Methods for Imbalanced Data in Ecology and Biology
ISBN: 9784431555698
Издательство: Springer
Классификация:

ISBN-10: 4431555692
Обложка/Формат: Paperback
Страницы: 100
Вес: 0.11 кг.
Серия: JSS Research Series in Statistics
Язык: English
Размер: 234 x 156 x 4
Основная тема: Statistics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book presents a fresh, new approach in that it provides a comprehensive recent review of challenging problems caused by imbalanced data in prediction and classification, and also in that it introduces several of the latest statistical methods of dealing with these problems.


Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover

Название: Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover
ISBN: 1439808783 ISBN-13(EAN): 9781439808788
Издательство: Taylor&Francis
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Цена: 13779.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.

Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

By the time you reach the end of the book (and online material) you will have gained:

  • A clear appreciation of the importance of a statistical approach to the design of your experiments,
  • A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
  • Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
  • An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.

The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Statistical Methods in Molecular Biology

Автор: Heejung Bang; Xi Kathy Zhou; Heather L. van Epps;
Название: Statistical Methods in Molecular Biology
ISBN: 1493961241 ISBN-13(EAN): 9781493961245
Издательство: Springer
Рейтинг:
Цена: 25155.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This progressive book presents the basic principles of proper statistical analyses. It progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology.

Statistical Methods in Molecular Biology

Автор: Heejung Bang; Xi Kathy Zhou; Heather L. van Epps;
Название: Statistical Methods in Molecular Biology
ISBN: 1607615789 ISBN-13(EAN): 9781607615781
Издательство: Springer
Рейтинг:
Цена: 30745.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This progressive book presents the basic principles of proper statistical analyses. It progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology.


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