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Computational and Statistical Methods for Analysing Big Data with, Shen Liu


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Цена: 11620.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Shen Liu
Название:  Computational and Statistical Methods for Analysing Big Data with
ISBN: 9780128037324
Издательство: Elsevier Science
Классификация:


ISBN-10: 0128037326
Обложка/Формат: Hardback
Страницы: 200
Вес: 0.47 кг.
Дата издания: 15.10.2015
Язык: English
Размер: 160 x 238 x 16
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание:

Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration.

Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data.

Advanced computational and statistical methodologies for analysing big data are developed.

Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable.

Case studies are discussed to demonstrate the implementation of the developed methods.

Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation.

Computing code/programs are provided where appropriate.



Analysing Seasonal Health Data

Автор: Adrian G. Barnett; Annette J. Dobson
Название: Analysing Seasonal Health Data
ISBN: 3642262465 ISBN-13(EAN): 9783642262463
Издательство: Springer
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Цена: 16070.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book explains statistical methods for finding and estimating seasonal patterns. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarizing and modeling these data.

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.
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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.

Spatial Analysis Along Networks - Statistical and Computational Methods

Автор: Okabe
Название: Spatial Analysis Along Networks - Statistical and Computational Methods
ISBN: 0470770813 ISBN-13(EAN): 9780470770818
Издательство: Wiley
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Цена: 13298.00 р.
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Описание: * Presents a much-needed practical guide to statistical spatial analysis on a network, in a logical, user-friendly order. * Introduces the preliminary methods involved, before detailing the advanced, computational methods, enabling the readers a complete understanding of the advanced topics.

Statistical models and methods for financial markets

Автор: Lai, Tze Leung Xing, Haipeng
Название: Statistical models and methods for financial markets
ISBN: 1441926682 ISBN-13(EAN): 9781441926685
Издательство: Springer
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Цена: 10335.00 р.
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Описание: The authors here present statistical methods and models of importance to quantitative finance and links finance theory to market practice via statistical modeling and decision making. They provide basic statistical background as well as in-depth applications.

Elements of Statistical Computing

Автор: Thisted
Название: Elements of Statistical Computing
ISBN: 0412013711 ISBN-13(EAN): 9780412013713
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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Описание: Statistics and computing share many close relationships


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