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Statistical Methods, Willard, Cheryl Ann


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Цена: 188850.00T
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в Мои желания

Автор: Willard, Cheryl Ann
Название:  Statistical Methods
ISBN: 9780367203511
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367203510
Обложка/Формат: Hardcover
Страницы: 364
Вес: 0.83 кг.
Дата издания: 18.03.2020
Язык: English
Издание: 2 ed
Иллюстрации: 78 tables, black and white; 72 line drawings, black and white; 65 halftones, black and white; 137 illustrations, black and white
Размер: 257 x 180 x 25
Читательская аудитория: Undergraduate
Основная тема: Quantitative and Statistical Methods
Подзаголовок: An Introduction to Basic Statistical Concepts and Analysis
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Statistical Methods explains core statistical concepts and basic analysis techniques for the beginning undergraduate student in statistics or quantitative research methods.

The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 76850.00 T
Наличие на складе: Заказано в издательстве.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Statistical Rethinking

Автор: McElreath, Richard
Название: Statistical Rethinking
ISBN: 036713991X ISBN-13(EAN): 9780367139919
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Rethinking: A Bayesian Course with Examples in R and Stan, Second Edition builds knowledge/confidence in statistical modeling. Pushes readers to perform step-by-step calculations (usually automated.) Unique, computational approach.

Handbook of spatial statistics

Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete
Название: Handbook of spatial statistics
ISBN: 1420072870 ISBN-13(EAN): 9781420072877
Издательство: Taylor&Francis
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Цена: 103610.00 T
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Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.

Handbook of Measurement Error Models

Автор: Grace Y. Yi, Aurore Delaigle, Paul Gustafson
Название: Handbook of Measurement Error Models
ISBN: 1138106402 ISBN-13(EAN): 9781138106406
Издательство: Taylor&Francis
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Цена: 219470.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reference text for statistical methods and applications for measurement error models for: researchers who work with error-contaminated data, graduate students from statistics and biostatistics, analysts in multiple fields, including medical research, biosciences, nutritional studies, epidemiological studies and environmental studies.

Multiple Imputation Analysis For Ob

Автор: He, Yulei
Название: Multiple Imputation Analysis For Ob
ISBN: 1498722067 ISBN-13(EAN): 9781498722063
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.

System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition

Автор: Marvin Rausand
Название: System Reliability Theory: Models, Statistical Methods, and Applications, 2nd Edition
ISBN: 047147133X ISBN-13(EAN): 9780471471332
Издательство: Wiley
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Цена: 162630.00 T
Наличие на складе: Поставка под заказ.
Описание: An examination of system reliability theory, this title features in-depth discussion of dependability management and reliability centered systems as well as functional safety issues-matters critical to the IEC standards.

Data Science and Machine Learning: Mathematical and Statistical Methods

Автор: Kroese, Dirk P. Botev, Zdravko
Название: Data Science and Machine Learning: Mathematical and Statistical Methods
ISBN: 1138492531 ISBN-13(EAN): 9781138492530
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Описание: The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science.

Modern Statistical Methods for Spatial and Multivariate Data

Автор: Norou Diawara
Название: Modern Statistical Methods for Spatial and Multivariate Data
ISBN: 3030114309 ISBN-13(EAN): 9783030114305
Издательство: Springer
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Цена: 79190.00 T
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Описание:

This contributed volume features invited papers on current models and statistical methods for spatial and multivariate data. With a focus on recent advances in statistics, topics include spatio-temporal aspects, classification techniques, the multivariate outcomes with zero and doubly-inflated data, discrete choice modelling, copula distributions, and feasible algorithmic solutions. Special emphasis is placed on applications such as the use of spatial and spatio-temporal models for rainfall in South Carolina and the multivariate sparse areal mixed model for the Census dataset for the state of Iowa. Articles use simulated and aggregated data examples to show the flexibility and wide applications of proposed techniques.
Carefully peer-reviewed and pedagogically presented for a broad readership, this volume is suitable for graduate and postdoctoral students interested in interdisciplinary research. Researchers in applied statistics and sciences will find this book an important resource on the latest developments in the field. In keeping with the STEAM-H series, the editors hope to inspire interdisciplinary understanding and collaboration.

Handbook of Computational Social Science, Volume 2

Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun
Название: Handbook of Computational Social Science, Volume 2
ISBN: 1032077700 ISBN-13(EAN): 9781032077703
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

Statistical and econometric methods for transportation data analysis

Автор: Washington, Simon Mannering, Fred (university Of S
Название: Statistical and econometric methods for transportation data analysis
ISBN: 0367199025 ISBN-13(EAN): 9780367199029
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.

Statistical Learning For High-Dimen

Автор: Fan, Jianqing
Название: Statistical Learning For High-Dimen
ISBN: 1466510846 ISBN-13(EAN): 9781466510845
Издательство: Taylor&Francis
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Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gives a comprehensive and systematic account of high-dimensional data analysis, including variable selection via regularization methods and sure independent feature screening methods. It is a valuable reference for researchers involved with model selection, variable selection, machine learning, and risk management.

R for Conservation and Development Applications

Автор: Whitmore, Nathan
Название: R for Conservation and Development Applications
ISBN: 0367205491 ISBN-13(EAN): 9780367205492
Издательство: Taylor&Francis
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Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is bridging the gap for organisations and individuals who need to learn and use R in a part-time professional context, providing a set of skills to understand the usefulness of graphing, mapping, and modelling in R, using relatable examples throughout.


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