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New Methods of Geostatistical Analysis and Graphical Presentation, Roberto Bachi


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Автор: Roberto Bachi
Название:  New Methods of Geostatistical Analysis and Graphical Presentation
ISBN: 9780306455445
Издательство: Springer
Классификация:

ISBN-10: 0306455447
Обложка/Формат: Hardcover
Страницы: 478
Вес: 1.04 кг.
Дата издания: 31.10.1999
Язык: English
Размер: 239 x 155 x 38
Основная тема: Statistics
Подзаголовок: Distributions of Populations over Territories
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: New Methods of Geostatistical Analysis and Graphical Presentation


Geostatistical Reservoir Modeling

Автор: Deutsch Clayton V., Pyrcz Michael J.
Название: Geostatistical Reservoir Modeling
ISBN: 0199731446 ISBN-13(EAN): 9780199731442
Издательство: Oxford Academ
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Цена: 15206.00 р.
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Описание: A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.

Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Graphical Data Analysis with R

Автор: Unwin
Название: Graphical Data Analysis with R
ISBN: 1498715230 ISBN-13(EAN): 9781498715232
Издательство: Taylor&Francis
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Цена: 11482.00 р.
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Описание:

See How Graphics Reveal Information

Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA.

Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Graphical models in applied multivariate statistics

Автор: Whittaker, Joe
Название: Graphical models in applied multivariate statistics
ISBN: 0470743662 ISBN-13(EAN): 9780470743669
Издательство: Wiley
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Цена: 10605.00 р.
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Описание: - It reveals the interrelationships between multiple variables and features of the underlying conditional independence. - It covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. - Many numerical examples and exercises with solutions are included.

Geostatistical Methods for Reservoir Geophysics

Автор: Leonardo Azevedo; Am?lcar Soares
Название: Geostatistical Methods for Reservoir Geophysics
ISBN: 3319532006 ISBN-13(EAN): 9783319532004
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.

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.

Geostatistical Case Studies

Автор: G. Matheron; M. Armstrong
Название: Geostatistical Case Studies
ISBN: 1556080190 ISBN-13(EAN): 9781556080197
Издательство: Springer
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Цена: 19564.00 р.
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Описание: These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions.

Graphical Methods for the Design of Experiments

Автор: Russell R. Barton
Название: Graphical Methods for the Design of Experiments
ISBN: 0387947507 ISBN-13(EAN): 9780387947501
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Graphical Methods for Experimental Design presents a strategic view of the planning of experiments, and provides a number of graphical tools that are useful for justifying the effort required for experimentation, identifying variables and candidate statistical models, selecting the set of run conditions and for assessing the quality of the design.

Geostatistical Case Studies

Автор: G. Matheron; M. Armstrong
Название: Geostatistical Case Studies
ISBN: 9401080186 ISBN-13(EAN): 9789401080187
Издательство: Springer
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Цена: 13974.00 р.
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Описание: These range from a careful variographic analysis on uranium data, through detailed studies on geologically complex deposits right up to the latest nonlinear methods applied to deposits with highly skew data distributions.

Geostatistical Simulations

Автор: M. Armstrong; P.A. Dowd
Название: Geostatistical Simulations
ISBN: 0792327322 ISBN-13(EAN): 9780792327325
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Contains selected contributions from the Workshop on Geostatistical Simulations, which was held in Fontainebleau, May 1993. This book raises questions such as: How are simulation methods and simulated images to be assessed? and What properties of simulated images are inherent in the methods used to obtain the images?

Learning in Graphical Models

Автор: M.I. Jordan
Название: Learning in Graphical Models
ISBN: 9401061041 ISBN-13(EAN): 9789401061049
Издательство: Springer
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Цена: 41925.00 р.
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Описание: Proceedings of the NATO Advanced Study Institute, Ettore Maiorana Centre, Erice, Italy, September 27-October 7, 1996

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R

Автор: Thomas W. MacFarland
Название: Introduction to Data Analysis and Graphical Presentation in Biostatistics with R
ISBN: 3319025317 ISBN-13(EAN): 9783319025315
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R.


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