Spatio-temporal Stochastic Modelling (METMAVI) PDF Download
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 155
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 155
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Book Description
Author: Jorge Mateu
Publisher:
ISBN:
Category :
Languages : en
Pages : 218
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Author: Ludovica Luisa Vissat
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Category :
Languages : en
Pages :
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Author: Claudia Cianci
Publisher:
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Category :
Languages : en
Pages :
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Author:
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Category :
Languages : en
Pages :
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![Spatiotemporal Stochastic Models for Earth Science and Engineering Applications [microform] PDF](https://books.google.com/books/content/images/frontcover/DZFCQwAACAAJ?fife=w80-h100)
Author: Xiaochun Luo
Publisher: National Library of Canada = Bibliothèque nationale du Canada
ISBN:
Category :
Languages : en
Pages : 354
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Author: Geoffrey S. Waston
Publisher:
ISBN:
Category :
Languages : en
Pages : 7
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The principal investigator's with Accardi on coherent chains is described in Accardi's survey of his research. However, the area where Watson mainly worked with Accardi on the possibilities of a theory of statistics based on quantum probability is not described. Despite an enormous investment of time and effort, and several drafts of papers, this research was abandoned because it did not interest physicists or statistical audiences at talks. This lead to the construction of interesting (classical) Markov motions on the sphere - published in a paper with Accardi and Cabrera. Watson's other papers were also concerned with distributions and inference on spheres. Mardia's work was motivated by pattern analysis, and used Fuzzy set theory. This work was closet to the original goal of the contract.
Author: Jorge Mateu
Publisher: Univ Santiago de Compostela
ISBN: 9788497501545
Category :
Languages : en
Pages : 206
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Author: Jorge Mateu Mahiques
Publisher: Netbiblo
ISBN: 849745412X
Category : Social Science
Languages : en
Pages : 90
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Book Description
This monograph presents a general methodology which is shown to be valid in the analysis of spatial point structures and that is certainly easier to use by non-expert researchers coming from other applied sciences than other much modern techniques. We suggest that the local conditioning approach has the advantage that it is statistically efficient, easy to correct for edge-effects and provides similar results than other (more complicated) likelihood-based methods. We show a mathematical justification to prove that any purely inhibitory pairwise interaction point process (pipp) can be obtained as the limit of a sequence of auto-Poisson lattice schemes and within this context we develop the pseudolikelihood estimating equations. We particularly focus on developing a Monte Carlo simulation study to analyze the behaviour of the parameter s of a particular pipp model derived using this technique. We also stress that this methodology has a wide range of applications in many fields, particularly in economy and demography.
Author: Jorge Mateu
Publisher: John Wiley & Sons
ISBN: 047097429X
Category : Mathematics
Languages : en
Pages : 395
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Book Description
A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial and spatio-temporal data acquisition. A common problem set is interwoven throughout the chapters, providing various perspectives to illustrate a complete insight to the problem at hand. Motivated by the high demand for statistical analysis of data that takes spatial and spatio-temporal information into account, this book incorporates ideas from the areas of time series, spatial statistics and stochastic processes, and combines them to discuss optimum spatio-temporal sampling design. Spatio-temporal Design: Advances in Efficient Data Acquisition: Provides an up-to-date account of how to collect space-time data for monitoring, with a focus on statistical aspects and the latest computational methods Discusses basic methods and distinguishes between design and model-based approaches to collecting space-time data. Features model-based frequentist design for univariate and multivariate geostatistics, and second-phase spatial sampling. Integrates common data examples and case studies throughout the book in order to demonstrate the different approaches and their integration. Includes real data sets, data generating mechanisms and simulation scenarios. Accompanied by a supporting website featuring R code. Spatio-temporal Design presents an excellent book for graduate level students as well as a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.
