Cladag 2021 Book Of Abstracts And Short Papers
Download Cladag 2021 Book Of Abstracts And Short Papers full books in PDF, epub, and Kindle. Read online free Cladag 2021 Book Of Abstracts And Short Papers ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
CLADAG 2021 Book of Abstracts and Short Papers
![CLADAG 2021 Book of Abstracts and Short Papers](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
Author | : Scientific Meeting of the Classification and Data Analysis Group |
Publsiher | : Unknown |
Total Pages | : 439 |
Release | : 2021 |
Genre | : Electronic Book |
ISBN | : 8855183419 |
Download CLADAG 2021 Book of Abstracts and Short Papers Book in PDF, Epub and Kindle
CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS
Author | : Giovanni C. Porzio,Carla Rampichini,Chiara Bocci |
Publsiher | : Firenze University Press |
Total Pages | : 455 |
Release | : 2024 |
Genre | : Business & Economics |
ISBN | : 9788855183406 |
Download CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS Book in PDF, Epub and Kindle
The book collects the short papers presented at the 13th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS). The meeting has been organized by the Department of Statistics, Computer Science and Applications of the University of Florence, under the auspices of the Italian Statistical Society and the International Federation of Classification Societies (IFCS). CLADAG is a member of the IFCS, a federation of national, regional, and linguistically-based classification societies. It is a non-profit, non-political scientific organization, whose aims are to further classification research.
Studies in Theoretical and Applied Statistics
Author | : Nicola Salvati,Cira Perna,Stefano Marchetti,Raymond Chambers |
Publsiher | : Springer Nature |
Total Pages | : 548 |
Release | : 2023-02-14 |
Genre | : Mathematics |
ISBN | : 9783031166099 |
Download Studies in Theoretical and Applied Statistics Book in PDF, Epub and Kindle
This book includes a wide selection of papers presented at the 50th Scientific Meeting of the Italian Statistical Society (SIS2021), held virtually on 21-25 June 2021. It covers a wide variety of subjects ranging from methodological and theoretical contributions to applied works and case studies, giving an excellent overview of the interests of the Italian statisticians and their international collaborations. Intended for researchers interested in theoretical and empirical issues, this volume provides interesting starting points for further research.
Multiple Correspondence Analysis and Related Methods
Author | : Michael Greenacre,Jorg Blasius |
Publsiher | : CRC Press |
Total Pages | : 607 |
Release | : 2006-06-23 |
Genre | : Mathematics |
ISBN | : 9781420011319 |
Download Multiple Correspondence Analysis and Related Methods Book in PDF, Epub and Kindle
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the su
Mathematics and Computation in Music
Author | : Mariana Montiel,Francisco Gomez-Martin,Octavio A. Agustín-Aquino |
Publsiher | : Springer |
Total Pages | : 403 |
Release | : 2019-06-11 |
Genre | : Computers |
ISBN | : 9783030213923 |
Download Mathematics and Computation in Music Book in PDF, Epub and Kindle
This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Mathematics and Computation in Music, MCM 2019, held in Madrid, Spain, in June 2019. The 22 full papers and 10 short papers presented were carefully reviewed and selected from 48 submissions. The papers feature research that combines mathematics or computation with music theory, music analysis, composition, and performance. They are organized in topical sections on algebraic and other abstract mathematical approaches to understanding musical objects; remanaging Riemann: mathematical music theory as “experimental philosophy”?; octave division; computer-based approaches to composition and score structuring; models for music cognition and beat tracking; pedagogy of mathematical music theory. The chapter “Distant Neighbors and Interscalar Contiguities” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Model Based Clustering and Classification for Data Science
Author | : Charles Bouveyron,Gilles Celeux,T. Brendan Murphy,Adrian E. Raftery |
Publsiher | : Cambridge University Press |
Total Pages | : 446 |
Release | : 2019-07-25 |
Genre | : Business & Economics |
ISBN | : 9781108494205 |
Download Model Based Clustering and Classification for Data Science Book in PDF, Epub and Kindle
Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.
Foundations of Linear and Generalized Linear Models
Author | : Alan Agresti |
Publsiher | : John Wiley & Sons |
Total Pages | : 471 |
Release | : 2015-02-23 |
Genre | : Mathematics |
ISBN | : 9781118730034 |
Download Foundations of Linear and Generalized Linear Models Book in PDF, Epub and Kindle
A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.
Measuring and Understanding Complex Phenomena
Author | : Rainer Bruggemann,Lars Carlsen,Tugce Beycan,Christian Suter,Filomena Maggino |
Publsiher | : Springer Nature |
Total Pages | : 324 |
Release | : 2021-03-01 |
Genre | : Science |
ISBN | : 9783030596835 |
Download Measuring and Understanding Complex Phenomena Book in PDF, Epub and Kindle
Indicators are more and more applied to describe and analyze complex systems. Typical examples: Innovation potential of nations, child-well being, Environmental health, poverty, chemical pollution, corruption of nations. The task is: How can a system of indicators be defined in order to fulfill the above expectations. One possibility is the application of the mathematical theory of partial order, especially when the indicator system shall be used for ranking purposes.