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Author : N. C. Lauro
Publisher :
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.3/5 (91 download)
Download or read book Méthodes, Applications Et Logiciels en Analyse Des Données Multidimensionnelles written by N. C. Lauro and published by . This book was released on 1983 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Brigitte Le Roux
Publisher :
ISBN 13 : 9782100598205
Total Pages : 408 pages
Book Rating : 4.5/5 (982 download)
Download or read book Analyse géométrique des données multidimensionnelles written by Brigitte Le Roux and published by . This book was released on 2014 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dans cet ouvrage consacré aux données multidimensionnelles, l'optique adoptée est celle de l'approche française d'analyse des données, avec ses caractéristiques : géométrique, formelle, statistique. L'exposé est ici progressif et présente les méthodes classiques : régression, classification, analyse en composantes principales, analyse des correspondances simples et multiples. Les méthodes sont illustrées par des exercices, basés sur des données réelles, accompagnés de solutions et de commentaires, et par des analyses de données "grandeur nature", en particulier celles concernant la dernière recherche empirique de Pierre Bourdieu. Véritable outil pédagogique, ce livre prépare le lecteur à se confronter aux données, à les analyser en passant par la mise en oeuvre informatique.
Author :
Publisher :
ISBN 13 :
Total Pages : 342 pages
Book Rating : 4.:/5 (272 download)
Download or read book Analyse des donnees multidimensionnelles written by and published by . This book was released on 1972 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 1214 pages
Book Rating : 4.:/5 (319 download)
Download or read book INIS Atomindex written by and published by . This book was released on 1987 with total page 1214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Dario Rodighiero
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (125 download)
Download or read book Mapping Affinities written by Dario Rodighiero and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Affinity’s mapping is a data visualization method that allows us to observe the dynamics of an organization subdivided into complex systems: institutions, universities, governments, etc. It is a graphical tool based on the collaboration variable. Mapping Affinities is, according to the author, an instrument for deciphering complex organizations and improving them. By inserting individuals on these maps, it is also a way of helping them to understand how to evolve in life within an institution. The book tackles this problem with a case study concerning . Data from the actions of researchers at the Lausanne institution are brought together and transformed into an innovative and attractive map.
Author : Thomas A. Kindermann
Publisher : Psychology Press
ISBN 13 : 1134786662
Total Pages : 269 pages
Book Rating : 4.1/5 (347 download)
Download or read book Development of Person-context Relations written by Thomas A. Kindermann and published by Psychology Press. This book was released on 2013-06-17 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, developmental psychology has its focus on individuals. Developmentalists aim to describe regularities in individuals' change and development across time, to explain the processes and mechanisms that are involved in producing change and regularity, and eventually, to design strategies for optimization and modification of developmental pathways. Although the role of contexts has always been of central concern for these purposes, it is nevertheless quite surprising to note that compared to the effort devoted to individuals, relatively little attention has been paid to the study of the nature and organization of their contexts. This volume is an exploration of the idea that how we describe and explain human development will be closely tied to our understanding of what contexts are, how individuals and contexts become influential for one another, what contexts do to and with individuals, and how contexts and their influences change themselves across time. A major theme is whether the traditional dichotomy between individuals and their contexts may be artificial, perhaps culturally biased, and after psychologists have adhered to it for about a century, may have become an impediment to increasing our understanding of developmental processes. With this volume, the editors contribute a serious consideration of development and systematic change to emerging models of person-context relations, and provide suggestions about how it may be possible to incorporate these notions in developmental research and theorizing.
Author : Dan E. Kelley
Publisher : Springer
ISBN 13 : 1493988441
Total Pages : 303 pages
Book Rating : 4.4/5 (939 download)
Download or read book Oceanographic Analysis with R written by Dan E. Kelley and published by Springer. This book was released on 2018-10-17 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Manfred Gilli
Publisher : Academic Press
ISBN 13 : 0128150653
Total Pages : 638 pages
Book Rating : 4.1/5 (281 download)
Download or read book Numerical Methods and Optimization in Finance written by Manfred Gilli and published by Academic Press. This book was released on 2019-08-30 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. Introduces numerical methods to readers with economics backgrounds Emphasizes core simulation and optimization problems Includes MATLAB and R code for all applications, with sample code in the text and freely available for download
Author : Joseph Hilbe
Publisher : CRC Press
ISBN 13 : 1439858039
Total Pages : 255 pages
Book Rating : 4.4/5 (398 download)
Download or read book Methods of Statistical Model Estimation written by Joseph Hilbe and published by CRC Press. This book was released on 2016-04-19 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.The text presents algorith
Author : Stef van Buuren
Publisher : CRC Press
ISBN 13 : 0429960352
Total Pages : 444 pages
Book Rating : 4.4/5 (299 download)
Download or read book Flexible Imputation of Missing Data, Second Edition written by Stef van Buuren and published by CRC Press. This book was released on 2018-07-17 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods, and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data, and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data.
Author : Victor A. Bloomfield
Publisher : CRC Press
ISBN 13 : 1315360497
Total Pages : 362 pages
Book Rating : 4.3/5 (153 download)
Download or read book Using R for Numerical Analysis in Science and Engineering written by Victor A. Bloomfield and published by CRC Press. This book was released on 2018-09-03 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems commonly faced by scientists and engineers. This practical guide to the capabilities of R demonstrates Monte Carlo, stochastic, deterministic, and other numerical methods through an abundance of worked examples and code, covering the solution of systems of linear algebraic equations and nonlinear equations as well as ordinary differential equations and partial differential equations. It not only shows how to use R’s powerful graphic tools to construct the types of plots most useful in scientific and engineering work, but also: Explains how to statistically analyze and fit data to linear and nonlinear models Explores numerical differentiation, integration, and optimization Describes how to find eigenvalues and eigenfunctions Discusses interpolation and curve fitting Considers the analysis of time series Using R for Numerical Analysis in Science and Engineering provides a solid introduction to the most useful numerical methods for scientific and engineering data analysis using R.
Author : Alexander von Eye
Publisher : Cambridge University Press
ISBN 13 : 9780521380904
Total Pages : 306 pages
Book Rating : 4.3/5 (89 download)
Download or read book Introduction to Configural Frequency Analysis written by Alexander von Eye and published by Cambridge University Press. This book was released on 1990-05-25 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to configural frequency analysis, its rationale, and various modifications. When more individuals than expected display a pattern of characteristics, these individuals belong to a type. When fewer individuals than expected display a pattern they belong to an antitype. This book deals with methods that focus on groups of subjects in contingency tables. A many-faceted statistical method, CFA is useful whenever categorical variables are analyzed. The original contribution of this text is the linking of CFA to log-linear modeling and the general linear model, enabling the reader to relate CFA to a well-known statistical background.
Author : Pierre-Andre Cornillon
Publisher : CRC Press
ISBN 13 : 1439881456
Total Pages : 322 pages
Book Rating : 4.4/5 (398 download)
Download or read book R for Statistics written by Pierre-Andre Cornillon and published by CRC Press. This book was released on 2012-03-21 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics includes a number of expanded and additional worked examples. Organized into two sections, the book focuses first on the R software, then on the implementation of traditional statistical methods with R. Focusing on the R software, the first section covers: Basic elements of the R software and data processing Clear, concise visualization of results, using simple and complex graphs Programming basics: pre-defined and user-created functions The second section of the book presents R methods for a wide range of traditional statistical data processing techniques, including: Regression methods Analyses of variance and covariance Classification methods Exploratory multivariate analysis Clustering methods Hypothesis tests After a short presentation of the method, the book explicitly details the R command lines and gives commented results. Accessible to novices and experts alike, R for Statistics is a clear and enjoyable resource for any scientist. Datasets and all the results described in this book are available on the book’s webpage at http://www.agrocampus-ouest.fr/math/RforStat
Author : Laura M. Chihara
Publisher : John Wiley & Sons
ISBN 13 : 1119416523
Total Pages : 557 pages
Book Rating : 4.1/5 (194 download)
Download or read book Mathematical Statistics with Resampling and R written by Laura M. Chihara and published by John Wiley & Sons. This book was released on 2018-09-17 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of Mathematical Statistics with Resampling and R combines modern resampling techniques and mathematical statistics. This book has been classroom-tested to ensure an accessible presentation, uses the powerful and flexible computer language R for data analysis and explores the benefits of modern resampling techniques. This book offers an introduction to permutation tests and bootstrap methods that can serve to motivate classical inference methods. The book strikes a balance between theory, computing, and applications, and the new edition explores additional topics including consulting, paired t test, ANOVA and Google Interview Questions. Throughout the book, new and updated case studies are included representing a diverse range of subjects such as flight delays, birth weights of babies, and telephone company repair times. These illustrate the relevance of the real-world applications of the material. This new edition: • Puts the focus on statistical consulting that emphasizes giving a client an understanding of data and goes beyond typical expectations • Presents new material on topics such as the paired t test, Fisher's Exact Test and the EM algorithm • Offers a new section on "Google Interview Questions" that illustrates statistical thinking • Provides a new chapter on ANOVA • Contains more exercises and updated case studies, data sets, and R code Written for undergraduate students in a mathematical statistics course as well as practitioners and researchers, the second edition of Mathematical Statistics with Resampling and R presents a revised and updated guide for applying the most current resampling techniques to mathematical statistics.
Author : Torsten Hothorn
Publisher : CRC Press
ISBN 13 : 1482204584
Total Pages : 454 pages
Book Rating : 4.4/5 (822 download)
Download or read book A Handbook of Statistical Analyses using R, Third Edition written by Torsten Hothorn and published by CRC Press. This book was released on 2014-06-25 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses Whether you’re a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
Author : Shravan Vasishth
Publisher : Springer Science & Business Media
ISBN 13 : 3642163130
Total Pages : 187 pages
Book Rating : 4.6/5 (421 download)
Download or read book The Foundations of Statistics: A Simulation-based Approach written by Shravan Vasishth and published by Springer Science & Business Media. This book was released on 2010-11-11 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexibly applying techniques relevant to their own research — they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This book provides a non-mathematical, simulation-based introduction to basic statistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language R is used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended for advanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and cognitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course on statistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. ”Vasishth and Broe have written an attractive introduction to the foundations of statistics. It is concise, surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended.” Harald Baayen, Professor of Linguistics, University of Alberta, Canada ”By using the text students not only learn to do the specific things outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the book’s coverage.” Colin Phillips, Professor of Linguistics, University of Maryland, USA
Author : Francois Husson
Publisher : CRC Press
ISBN 13 : 1315301865
Total Pages : 263 pages
Book Rating : 4.3/5 (153 download)
Download or read book Exploratory Multivariate Analysis by Example Using R written by Francois Husson and published by CRC Press. This book was released on 2017-04-25 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) a
