Prediccion Con Series Temporales Ejercicios Resueltos Con Statgraphics

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Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics

Author : Maria Perez Marques
Publisher : CreateSpace
ISBN 13 : 9781495347825
Total Pages : 134 pages
Book Rating : 4.3/5 (478 download)

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Book Synopsis Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics by : Maria Perez Marques

Download or read book Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics written by Maria Perez Marques and published by CreateSpace. This book was released on 2014-01-27 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dentro de las estructuras de datos más importantes, típicas en el trabajo econométrico aplicado, tenemos los datos de series temporales. Un conjunto de datos de series temporales consiste en observaciones sobre una variable o distintas variables a lo largo del tiempo. Ejemplos típicos de datos de series temporales son el producto interior bruto, la oferta monetaria, los índices de precios al consumo, las tasas anuales de homicidios, las cifras de ingresos y gastos de las empresas o las cifras de venta de automóviles. Dado que los acontecimientos pasados pueden tener influencia sobre acontecimientos futuros, y los efectos retardados en el comportamiento de los individuos son frecuentes en ciencias sociales, el tiempo es un parámetro importante en los conjuntos de series temporales. El libro comienza tratando los conceptos iniciales de series temporales para la predicción, para posteriormente profundizar en la mayoría de las técnicas para la obtención de predicciones, tanto condicionales como incondicionales. Se abordan, tanto los métodos autoproyectivos deterministas (Holt, Brown, Winters, etc.), como los modelos de Box Jenkins a través de la metodología ARIMA. En cuanto al soporte computacional para el desarrollo de modelos de predicción se utiliza el software STATGRAPHICS.En cuanto a la metodología, se presentarán conceptos teóricos concretos y concisos al principio de los temas ilustrándolos con ejemplos que se adecuen convenientemente a la metodología y en índice creciente de dificultad.

Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics Centurion

Author : Maria Perez Marques
Publisher : CreateSpace
ISBN 13 : 9781495346934
Total Pages : 152 pages
Book Rating : 4.3/5 (469 download)

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Book Synopsis Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics Centurion by : Maria Perez Marques

Download or read book Prediccion Con Series Temporales. Ejercicios Resueltos Con Statgraphics Centurion written by Maria Perez Marques and published by CreateSpace. This book was released on 2014-01-27 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dentro de las estructuras de datos más importantes, típicas en el trabajo econométrico aplicado, tenemos los datos de series temporales. Un conjunto de datos de series temporales consiste en observaciones sobre una variable o distintas variables a lo largo del tiempo. Ejemplos típicos de datos de series temporales son el producto interior bruto, la oferta monetaria, los índices de precios al consumo, las tasas anuales de homicidios, las cifras de ingresos y gastos de las empresas o las cifras de venta de automóviles. Dado que los acontecimientos pasados pueden tener influencia sobre acontecimientos futuros, y los efectos retardados en el comportamiento de los individuos son frecuentes en ciencias sociales, el tiempo es un parámetro importante en los conjuntos de series temporales. El libro comienza tratando los conceptos iniciales de series temporales para la predicción, para posteriormente profundizar en la mayoría de las técnicas para la obtención de predicciones, tanto condicionales como incondicionales. Se abordan, tanto los métodos autoproyectivos deterministas (Holt, Brown, Winters, etc.), como los modelos de Box Jenkins a través de la metodología ARIMA univariante y multivariante para la obtención de predicciones (modelos VAR y VARMA). En cuanto al soporte computacional para el desarrollo de modelos de predicción se utiliza el software STATGRAPHICS CENTURION.En cuanto a la metodología, se presentarán conceptos teóricos concretos y concisos al principio de los temas ilustrándolos con ejemplos que se adecuen convenientemente a la metodología y en índice creciente de dificultad.

SERIES TEMPORALES a Través de STATGRAPHICS CENTURION

Author : Csar Lpez Prez
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781534981980
Total Pages : 196 pages
Book Rating : 4.9/5 (819 download)

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Book Synopsis SERIES TEMPORALES a Través de STATGRAPHICS CENTURION by : Csar Lpez Prez

Download or read book SERIES TEMPORALES a Través de STATGRAPHICS CENTURION written by Csar Lpez Prez and published by Createspace Independent Publishing Platform. This book was released on 2016-06-29 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Las t�cnicas predictivas especifican el modelo para los datos en base a un conocimiento te�rico previo. Entre este grupo de t�cnicas se encuentran los modelos de series temporales. Formalmente, la aplicaci�n de todo modelo debe superar las fases de identificaci�n objetiva (a partir de los datos se aplican reglas que permitan identificar el mejor modelo posible que ajuste los datos), estimaci�n (proceso de c�lculo de los par�metros del modelo elegido para los datos en la fase de identificaci�n), diagnosis (proceso de contraste de la validez del modelo estimado) y predicci�n (proceso de utilizaci�n del modelo identificado, estimado y validado para predecir valores futuros de las variables dependientes). Este texto profundiza en todas esta fases mediante la metodolog�a de BOX-JENKINS de los modelos ARIMA. Asimismo, tambi�n se tratan los modelos del an�lisis de la intervenci�n y de la funci�n de transferencia. Todas las t�cnicas mencionadas se desarrollan en este libro a trav�s de STATGRAPHICS CENTURION y se ilustran con numerosos ejercicios resueltos que clarifican los conceptos.

Prediccion Con Series Temporales. Ejercicios Resueltos Con SAS

Author : Maria Perez Marques
Publisher : CreateSpace
ISBN 13 : 9781495337512
Total Pages : 252 pages
Book Rating : 4.3/5 (375 download)

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Book Synopsis Prediccion Con Series Temporales. Ejercicios Resueltos Con SAS by : Maria Perez Marques

Download or read book Prediccion Con Series Temporales. Ejercicios Resueltos Con SAS written by Maria Perez Marques and published by CreateSpace. This book was released on 2014-01-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dentro de las estructuras de datos más importantes, típicas en el trabajo econométrico aplicado, tenemos los datos de series temporales. Un conjunto de datos de series temporales consiste en observaciones sobre una variable o distintas variables a lo largo del tiempo. Ejemplos típicos de datos de series temporales son el producto interior bruto, la oferta monetaria, los índices de precios al consumo, las tasas anuales de homicidios, las cifras de ingresos y gastos de las empresas o las cifras de venta de automóviles. Dado que los acontecimientos pasados pueden tener influencia sobre acontecimientos futuros, y los efectos retardados en el comportamiento de los individuos son frecuentes en ciencias sociales, el tiempo es un parámetro importante en los conjuntos de series temporales. El libro comienza tratando los conceptos iniciales de series temporales para la predicción, para posteriormente profundizar en la mayoría de las técnicas para la obtención de predicciones, tanto condicionales como incondicionales. Se abordan, tanto los métodos autoprotectivos deterministas (Holt, Brown, Winters, etc.), como los modelos de Box Jemkins a través de la metodolgía ARIMA univariante y multivariante para la obtención de predicciones (modelos VAR y VARMA). En cuanto al soporte computacional para el desarrollo de modelos de predicción, se utiliza el software SAS.En cuanto a la metodología, se presentarán conceptos teóricos concretos y concisos al principio de los temas ilustrándolos con ejemplos que se adecuen convenientemente a la metodología y en índice creciente de dificultad.

Analisis Multivariante y Series Temporales. Ejercicios con STATGRAPHICS

Author : Cesar Lopez
Publisher : CreateSpace
ISBN 13 : 9781483937175
Total Pages : 182 pages
Book Rating : 4.9/5 (371 download)

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Book Synopsis Analisis Multivariante y Series Temporales. Ejercicios con STATGRAPHICS by : Cesar Lopez

Download or read book Analisis Multivariante y Series Temporales. Ejercicios con STATGRAPHICS written by Cesar Lopez and published by CreateSpace. This book was released on 2013-03-22 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: La clasificación inicial de las técnicas de análisis de datos distingue entre técnicas predictivas, en las que las variables pueden clasificarse inicialmente en dependientes e independientes (similares a las técnicas del análisis de la dependencia o métodos explicativos del análisis multivariante), técnicas descriptivas, en las que todas las variables tienen inicialmente el mismo estatus (similares a las técnicas del análisis de la interdependencia o métodos descriptivos del análisis multivariante) y técnicas auxiliares. Las técnicas predictivas especifican el modelo para los datos en base a un conocimiento teórico previo. Entre este grupo de técnicas se encuentran los modelos de series temporales. Formalmente, la aplicación de todo modelo debe superar las fases de identificación objetiva (a partir de los datos se aplican reglas que permitan identificar el mejor modelo posible que ajuste los datos), estimación (proceso de cálculo de los parámetros del modelo elegido para los datos en la fase de identificación), diagnosis (proceso de contraste de la validez del modelo estimado) y predicción (proceso de utilización del modelo identificado, estimado y validado para predecir valores futuros de las variables dependientes). Este texto profundiza en todas esta fases mediante la metodología de BOX-JENKINS de los modelos ARIMA. Asimismo, también se trata el Análisis de la Correlación Canónica.Por otra parte, entre las técnicas descriptivas destacan las técnicas de reducción de la dimensión, incluyendo Análisis de Componentes Principales, Análisis Factorial y Análisis de Correspondencias, así como las técnicas de clasificación y segmentación, que incluyen Análisis Clúster y Análisis Discriminante. Todas las técnicas mencionadas se tratan en este libro y se ilustran con numerosos ejercicios resueltos que clarifican los conceptos.

Encyclopedia of Environmetrics

Author : Abdel H. El-Shaarawi
Publisher : John Wiley & Sons
ISBN 13 : 9780471899976
Total Pages : 660 pages
Book Rating : 4.8/5 (999 download)

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Book Synopsis Encyclopedia of Environmetrics by : Abdel H. El-Shaarawi

Download or read book Encyclopedia of Environmetrics written by Abdel H. El-Shaarawi and published by John Wiley & Sons. This book was released on 2002 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of environmetric research and its applications... Environmetrics covers the development and application of quantitative methods in the environmental sciences. It provides essential tools for understanding, predicting, and controlling the impacts of agents, both man-made and natural, which affect the environment. Basic and applied research in this area covers a broad range of topics. Primary among these are the quantitative sciences, such as statistics, probability and applied mathematics, chemometrics, and econometrics. Applications are also important, for example in, ecology and environmental biology, public health, atmospheric science, geology, engineering, risk management, and regulatory/governmental policy amongst others. * Divided into 12 sections, the Encyclopedia brings together over 600 detailed articles which have been carefully selected and reviewed through the collaborative efforts of the Editors-in-Chief and the appropriate Section Editor * Presented in alphabetical order all the articles will include an explanatory introduction, extensive cross-referencing and an up-to-date bibliography providing literature references for further reading. Presenting state of the art information in a readable, highly accessible style, the scope and coverage provided by the Encyclopedia of Environmetrics will ensure its place as the landmark reference for the many scientists, educators, and decision-makers working across this multidisciplinary field. An essential reference tool for university libraries, research laboratories, government institutions and consultancies concerned with the environmental sciences, the Encyclopedia of Environmetrics brings together for the first time, comprehensive coverage of the full range of topics, techniques and applications covered by this multidisciplinary field. There is currently no central reference source which addresses the needs of this multidisciplinary community. This new Encyclopedia will fill this gap by providing a comprehensive source of relevant fundamental concepts in environmetric research, development and applications for statisticians, mathematicians, economists, environmentalists, ecologist, government officials and policy makers.

Case Studies in Spatial Point Process Modeling

Author : Adrian Baddeley
Publisher : Springer Science & Business Media
ISBN 13 : 0387311440
Total Pages : 312 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Case Studies in Spatial Point Process Modeling by : Adrian Baddeley

Download or read book Case Studies in Spatial Point Process Modeling written by Adrian Baddeley and published by Springer Science & Business Media. This book was released on 2006-03-03 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples. Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies. From the reviews: "For those interested in analyzing their spatial data, the wide variatey of examples and approaches here give a good idea of the possibilities and suggest reasonable paths to explore." Michael Sherman for the Journal of the American Statistical Association, December 2006

Geostatistical Functional Data Analysis

Author : Jorge Mateu
Publisher : John Wiley & Sons
ISBN 13 : 1119387841
Total Pages : 452 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Geostatistical Functional Data Analysis by : Jorge Mateu

Download or read book Geostatistical Functional Data Analysis written by Jorge Mateu and published by John Wiley & Sons. This book was released on 2021-12-13 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geostatistical Functional Data Analysis Explore the intersection between geostatistics and functional data analysis with this insightful new reference Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The Editors link together the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields. This book provides a complete and up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field. Containing contributions from leading experts in the field, this practical guide provides readers with the necessary tools to employ and adapt classic statistical techniques to handle spatial regression. The book also includes: A thorough introduction to the spatial kriging methodology when working with functions A detailed exposition of more classical statistical techniques adapted to the functional case and extended to handle spatial correlations Practical discussions of ANOVA, regression, and clustering methods to explore spatial correlation in a collection of curves sampled in a region In-depth explorations of the similarities and differences between spatio-temporal data analysis and functional data analysis Aimed at mathematicians, statisticians, postgraduate students, and researchers involved in the analysis of functional and spatial data, Geostatistical Functional Data Analysis will also prove to be a powerful addition to the libraries of geoscientists, environmental scientists, and economists seeking insightful new knowledge and questions at the interface of geostatistics and functional data analysis.

Spatio-temporal Design

Author : Jorge Mateu
Publisher : John Wiley & Sons
ISBN 13 : 047097429X
Total Pages : 395 pages
Book Rating : 4.4/5 (79 download)

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Book Synopsis Spatio-temporal Design by : Jorge Mateu

Download or read book Spatio-temporal Design written by Jorge Mateu and published by John Wiley & Sons. This book was released on 2012-12-17 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Stochastic Processes for Spatial Econometrics

Author : Jorge Mateu Mahiques
Publisher : Netbiblo
ISBN 13 : 849745412X
Total Pages : 90 pages
Book Rating : 4.4/5 (974 download)

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Book Synopsis Stochastic Processes for Spatial Econometrics by : Jorge Mateu Mahiques

Download or read book Stochastic Processes for Spatial Econometrics written by Jorge Mateu Mahiques and published by Netbiblo. This book was released on 2010 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Point Process Modelling and Its Applications

Author : Adrian Baddeley
Publisher : Publicacions de la Universitat Jaume I
ISBN 13 : 9788480214759
Total Pages : 320 pages
Book Rating : 4.2/5 (147 download)

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Book Synopsis Spatial Point Process Modelling and Its Applications by : Adrian Baddeley

Download or read book Spatial Point Process Modelling and Its Applications written by Adrian Baddeley and published by Publicacions de la Universitat Jaume I. This book was released on 2004 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro de proceedings se edita para ponerlo a disposición de los asistentes a la Internacional Conference on Spatial Pont Process Modelling and its Applications (SPPA), realizada en Benicàssim en abril de 2004.

The ISI International Conference on Environmental Statistics and Health

Author : Jorge Mateu
Publisher : Univ Santiago de Compostela
ISBN 13 : 9788497501545
Total Pages : 206 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis The ISI International Conference on Environmental Statistics and Health by : Jorge Mateu

Download or read book The ISI International Conference on Environmental Statistics and Health written by Jorge Mateu and published by Univ Santiago de Compostela. This book was released on 2003-07-10 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics for Spatio-Temporal Data

Author : Noel Cressie
Publisher : John Wiley & Sons
ISBN 13 : 1119243041
Total Pages : 612 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Statistics for Spatio-Temporal Data by : Noel Cressie

Download or read book Statistics for Spatio-Temporal Data written by Noel Cressie and published by John Wiley & Sons. This book was released on 2015-11-02 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2013 DeGroot Prize. A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods Noel Cressie and Christopher K. Wikle, are also winners of the 2011 PROSE Award in the Mathematics category, for the book “Statistics for Spatio-Temporal Data” (2011), published by John Wiley and Sons. (The PROSE awards, for Professional and Scholarly Excellence, are given by the Association of American Publishers, the national trade association of the US book publishing industry.) Statistics for Spatio-Temporal Data has now been reprinted with small corrections to the text and the bibliography. The overall content and pagination of the new printing remains the same; the difference comes in the form of corrections to typographical errors, editing of incomplete and missing references, and some updated spatio-temporal interpretations. From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models. Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include: Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004)

Author : Theodore Simos
Publisher : CRC Press
ISBN 13 : 1482284200
Total Pages : 1192 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004) by : Theodore Simos

Download or read book International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004) written by Theodore Simos and published by CRC Press. This book was released on 2019-04-29 with total page 1192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference of Computational Methods in Sciences and Engineering (ICCMSE) is unique in its kind. It regroups original contributions from all fields of the traditional Sciences, Mathematics, Physics, Chemistry, Biology, Medicine and all branches of Engineering. The aim of the conference is to bring together computational scientists from several disciplines in order to share methods and ideas. More than 370 extended abstracts have been submitted for consideration for presentation in ICCMSE 2004. From these, 289 extended abstracts have been selected after international peer review by at least two independent reviewers.

Spatial Economics and Ecosystems

Author : Nikolaos Georgantzis
Publisher : Witpress
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Spatial Economics and Ecosystems by : Nikolaos Georgantzis

Download or read book Spatial Economics and Ecosystems written by Nikolaos Georgantzis and published by Witpress. This book was released on 2000 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economists, most from Spain, offer 14 literature reviews and research reports reflecting efforts by mainstream economic thought to include among its chief concerns the study of complex interactions between economies and natural space, and the study of the complex phenomenon of individual and collective decision-making when faced with problems linking economic activity to the environment. After an introductory paper, they cover methodological issues, environmental economic theory, applications, and experiments in simulated ecological systems. The anthology could serve as a graduate text in environmental economics. It is not indexed. Distributed in N. America by Computational Mechanics. Annotation copyrighted by Book News, Inc., Portland, OR.

Gaussian Markov Random Fields

Author : Havard Rue
Publisher : CRC Press
ISBN 13 : 0203492021
Total Pages : 280 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Gaussian Markov Random Fields by : Havard Rue

Download or read book Gaussian Markov Random Fields written by Havard Rue and published by CRC Press. This book was released on 2005-02-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works are available. This is the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects. This book includes extensive case-studie

New Advances in Space-time Random Field Modelling

Author : Emilio Porcu
Publisher :
ISBN 13 : 9788480216500
Total Pages : 0 pages
Book Rating : 4.2/5 (165 download)

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Book Synopsis New Advances in Space-time Random Field Modelling by : Emilio Porcu

Download or read book New Advances in Space-time Random Field Modelling written by Emilio Porcu and published by . This book was released on 2008-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fins ara els recursos teòrics de l'estadística espacial eren insuficients per a donar solucions genèriques al conjunt de problemes que s'hi resolen. Tenint en compte aquesta limitació, aquesta obra reflecteix aportacions recents per al desenvolupament d'estadístiques teòriques espacials i espaciotemporals amb l'objectiu de poder representar al màxim les dependències espaciotemporals que es poden donar en contextos reals.