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Statistical methods for spatio-temporal systems, 


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Цена: 9798.00р.
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Название:  Statistical methods for spatio-temporal systems
ISBN: 9780367390112
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367390116
Обложка/Формат: Paperback
Страницы: 286
Вес: 0.58 кг.
Дата издания: 02.10.2019
Язык: English
Размер: 154 x 231 x 26
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание:

Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities.

Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems, such as bacteria colonies, tumors, and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data, followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use, such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo, illustrating the methods with a variety of data examples, such as temperature surfaces, dioxin concentrations, ozone concentrations, and a well-established deterministic dynamical weather model.




Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Автор: Fernandez-Avile G., Montero Jos? M., Fern?ndez-Avil? G.
Название: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
ISBN: 1118413180 ISBN-13(EAN): 9781118413180
Издательство: Wiley
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Цена: 11238.00 р.
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Описание: Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.

Statistical Methods for Recommender Systems

Автор: Agarwal
Название: Statistical Methods for Recommender Systems
ISBN: 1107036070 ISBN-13(EAN): 9781107036079
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.

Statistical methods for climate scientists /

Автор: DelSole, Timothy,
Название: Statistical methods for climate scientists /
ISBN: 1108472419 ISBN-13(EAN): 9781108472418
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.

Spectral Analysis for Univariate Time Series

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

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: 14086.00 р.
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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: 11878.00 р.
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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.
Using r for bayesian spatial and spatio-temporal health modeling

Автор: Lawson, Andrew B.
Название: Using r for bayesian spatial and spatio-temporal health modeling
ISBN: 0367490129 ISBN-13(EAN): 9780367490126
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.

Modeling Conflict Dynamics with Spatio-temporal Data

Автор: Andrew Zammit-Mangion; Michael Dewar; Visakan Kadi
Название: Modeling Conflict Dynamics with Spatio-temporal Data
ISBN: 3319010379 ISBN-13(EAN): 9783319010373
Издательство: Springer
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Цена: 7182.00 р.
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Описание: The book also demonstrates the methods on the WikiLeaks Afghan War Diary, the results showing that this approach allows deeper insights into conflict dynamics and allows a strikingly statistically accurate forward prediction of armed opposition group activity in 2010, based solely on data from preceding years.

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: 24394.00 р.
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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.

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: 17609.00 р.
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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.

Spatial and Spatio–temporal Bayesian Models with R – INLA

Автор: Marta Blangiardo,Michela Cameletti
Название: Spatial and Spatio–temporal Bayesian Models with R – INLA
ISBN: 1118326555 ISBN-13(EAN): 9781118326558
Издательство: Wiley
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Цена: 9496.00 р.
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Описание: Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics.


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