COMPSTAT 2008

COMPSTAT 2008 PDF Author: Paula Brito
Publisher: Springer Science & Business Media
ISBN: 3790820849
Category : Mathematics
Languages : en
Pages : 557

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Book Description
18th Symposium Held in Porto, Portugal, 2008

COMPSTAT 2008

COMPSTAT 2008 PDF Author: Paula Brito
Publisher: Springer Science & Business Media
ISBN: 3790820849
Category : Mathematics
Languages : en
Pages : 557

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Book Description
18th Symposium Held in Porto, Portugal, 2008

Proceedings of COMPSTAT'2010

Proceedings of COMPSTAT'2010 PDF Author: Yves Lechevallier
Publisher: Springer Science & Business Media
ISBN: 3790826049
Category : Computers
Languages : en
Pages : 621

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Book Description
Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.

Geospatial Research: Concepts, Methodologies, Tools, and Applications

Geospatial Research: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466698462
Category : Technology & Engineering
Languages : en
Pages : 1997

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Book Description
Having the ability to measure and explore the geographic space that surrounds us provides endless opportunities for us to utilize and interact with the world. As a broad field of study, geospatial research has applications in a variety of fields including military science, environmental science, civil engineering, and space exploration. Geospatial Research: Concepts, Methodologies, Tools, and Applications is a multi-volume publication highlighting critical topics related to geospatial analysis, geographic information systems, and geospatial technologies. Exploring multidisciplinary applications of geographic information systems and technologies in addition to the latest trends and developments in the field, this publication is ideal for academic and government library inclusion, as well as for reference by data scientists, engineers, government agencies, researchers, and graduate-level students in GIS programs.

New Legacy System

New Legacy System PDF Author: Daniel W. Hancock
Publisher: DIANE Publishing
ISBN: 1437916422
Category : Computers
Languages : en
Pages : 91

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Book Description
Calif¿s. budget crisis has made plain that scarce revenues will put a premium on managing public resources better than ever if state gov¿t. is to meet its obligations and realize its vision for serving its people. The best mgmt. practices rely on sound info. tech. (IT) systems that can deliver up-to-date data about operations to decision-makers, who can act upon them to improve programs and services. In the last 8 years, Calif. has made great strides in delivering critical IT tools to its managers. Yet Calif. is still far behind other states that are using data to drive performance, due to fear of another big system failure. This report argues that it is time to push past those fears so that Calif. leaders can change the culture of gov¿t. by building the state¿s IT capacity. Illus.

Algorithms from and for Nature and Life

Algorithms from and for Nature and Life PDF Author: Berthold Lausen
Publisher: Springer Science & Business Media
ISBN: 3319000357
Category : Computers
Languages : en
Pages : 547

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Book Description
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.​

Statistical Models for Data Analysis

Statistical Models for Data Analysis PDF Author: Paolo Giudici
Publisher: Springer Science & Business Media
ISBN: 3319000322
Category : Mathematics
Languages : en
Pages : 419

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Book Description
The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and refereed proceedings of the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a section of the Italian Statistical Society. ​

Primer to Analysis of Genomic Data Using R

Primer to Analysis of Genomic Data Using R PDF Author: Cedric Gondro
Publisher: Springer
ISBN: 3319144758
Category : Medical
Languages : en
Pages : 270

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Book Description
Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. At a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto tool for analysis of gene expression data, in addition to its prominent role in analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. Included topics are core components of advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher’s website.

Hearing [May 28, 2008]

Hearing [May 28, 2008] PDF Author: California. Legislature. Senate. Rules Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 232

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Book Description


Algorithms for Regression and Classification

Algorithms for Regression and Classification PDF Author: Robin Nunkesser
Publisher: BoD – Books on Demand
ISBN: 3837096041
Category :
Languages : en
Pages : 154

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Book Description
The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust regression, new exact algorithms, results for robust online scale estimation, and an evolutionary computation algorithm for different estimators in higher dimensions are presented. For classification in genetic association studies, this thesis describes a Genetic Programming algorithm that outpeforms the standard approaches on the considered data sets.

Oceanographic Analysis with R

Oceanographic Analysis with R PDF Author: Dan E. Kelley
Publisher: Springer
ISBN: 1493988441
Category : Medical
Languages : en
Pages : 290

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Book Description
This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the ‘oce’ package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.