Mixture Modelling for Medical and Health Sciences, Ng, Shu-Kay

Автор: Ivan Nagy; Evgenia Suzdaleva
Название: Algorithms and Programs of Dynamic Mixture Estimation
ISBN: 3319646702 ISBN-13(EAN): 9783319646701
Издательство: Springer
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Цена: 51230.00 T
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Описание: This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models.

Автор: Peter Schlattmann
Название: Medical Applications of Finite Mixture Models
ISBN: 3642088163 ISBN-13(EAN): 9783642088162
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping, meta-analysis, neurophysiology and pharmacology.

Автор: Tatarinova Tatiana, Schumitzky Alan
Название: Nonlinear Mixture Models: A Bayesian Approach
ISBN: 1848167563 ISBN-13(EAN): 9781848167568
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: Provides an introduction to the important subject of nonlinear mixture models from a Bayesian perspective. This title contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications.

Автор: Sue Christina A.
Название: Land of the Cosmic Race: Race Mixture, Racism, and Blackness in Mexico
ISBN: 019992550X ISBN-13(EAN): 9780199925506
Издательство: Oxford Academ
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Цена: 31670.00 T
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Описание: Land of the Cosmic Race is a richly-detailed ethnographic account of the powerful role that race and color play in organizing the lives and thoughts of ordinary Mexicans. It presents a previously untold story of how individuals in contemporary urban Mexico construct their identities,
attitudes, and practices in the context of a dominant national belief system. The book centers around Mexicans' engagement with three racialized pillars of Mexican national ideology - the promotion of race mixture, the assertion of an absence of racism in the country, and the marginalization of
blackness in Mexico.

The subjects of this book are mestizos - the mixed-race people of Mexico who are of Indigenous, African, and European ancestry and the intended consumers of this national ideology. Land of the Cosmic Race illustrates how Mexican mestizos navigate the sea of contradictions that arise when their
everyday lived experiences conflict with the national stance and how they manage these paradoxes in a way that upholds, protects, and reproduces the national ideology. Drawing on a year of participant observation, over 110 interviews, and focus-groups from Veracruz, Mexico, Christina A. Sue offers
rich insight into the relationship between race-based national ideology and the attitudes and behaviors of mixed-race Mexicans. Most importantly, she theorizes as to why elite-based ideology not only survives but actually thrives within the popular understandings and discourse of those over whom it
is designed to govern.

Автор: Miles Marjorie E.
Название: Spirit Flows: Powerful Scriptures, Beautiful Pictures and a Reflective Mixture
ISBN: 1098384423 ISBN-13(EAN): 9781098384425
Издательство: Gazelle Book Services
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Цена: 17460.00 T
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Описание: Offers a new perspective for critical inquiries about the practices of consumption in (and of) Caribbean popular culture. The book revisits accepted representations of the Caribbean from `less respectable` segments of popular culture such as dancehall culture and `sistah lit` that proudly jettison any aspirations toward middle-class respectability.

Автор: Wickrama Kandauda A. S., Lee Tae Kyoung, O`Neal Catherine Walker
Название: Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide
ISBN: 0367746204 ISBN-13(EAN): 9780367746209
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.

Автор: Visser
Название: Mixture and Hidden Markov Models with R
ISBN: 3031014383 ISBN-13(EAN): 9783031014383
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book discusses mixture and hidden Markov models for modeling behavioral data. Hidden Markov models can be viewed as an extension of mixture models, to model transitions between states over time.

Автор: Bouguila Nizar, Fan Wentao
Название: Mixture Models and Applications
ISBN: 3030238784 ISBN-13(EAN): 9783030238780
Издательство: Springer
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Цена: 93160.00 T
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Описание:

A Gaussian Mixture Model Approach To Classifying Response Types.- Interactive Generation Of Calligraphic Trajectories From Gaussian Mixtures.- Mixture models for the analysis, edition, and synthesis of continuous time series.- Multivariate Bounded Asymmetric Gaussian Mixture Model.- Online Recognition Via A Finite Mixture Of Multivariate Generalized Gaussian Distributions.- L2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of Von Mises Distributions with Localized Feature Selection.- Deriving Probabilistic SVM Kernels From Exponential Family Approximations to Multivariate Distributions for Count Data.- Toward an Efficient Computation of Log-likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering.- A Frequentist Inference Method Based On Finite Bivariate And Multivariate Beta Mixture Models.- Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting.- Online Variational Learning for Medical Image Data Clustering.- Color Image Segmentation using Semi-Bounded Finite Mixture Models by Incorporating Mean Templates.- Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models.- Flexible Statistical Learning Model For Unsupervised Image Modeling And Segmentation.

Автор: B.K. Sinha; N.K. Mandal; Manisha Pal; P. Das
Название: Optimal Mixture Experiments
ISBN: 8132217853 ISBN-13(EAN): 9788132217855
Издательство: Springer
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Цена: 88500.00 T
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Описание: Opening with the basics of regression designs, this book reviews linear and quadratic Scheffe mixture models, applies the Darroch-Waller three-component quadratic mixture model to the general q-component model, discusses non-standard mixture designs and more.

Автор: Olga Moreira
Название: Handbook of Mixture Analysis
ISBN: 1774077086 ISBN-13(EAN): 9781774077085
Издательство: Mare Nostrum (Eurospan)
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Цена: 160770.00 T
Наличие на складе: Нет в наличии.
Описание: Presents a collection of peer-reviewed articles featuring several statistical data analysis methods based on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal processing, economics, cosmology, and computational medicine.

Автор: Shelton John
Название: Testing Lack of Fit in a Mixture Model
ISBN: 0530006685 ISBN-13(EAN): 9780530006680
Издательство: Неизвестно
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Цена: 80930.00 T
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Описание: Abstract:

A common problem in modeling the response surface in most systems, and in particular in a mixture system, is that of detecting lack of fit, or inadequancy, of a fitted model of the form E(Y) = Xg, in comparison to a model of the form E{Y) = Xe, + X B postulated as the true model. One method for detecting lack of fit involves comparing the value of the response observed at certain locations in the factor space, called "check points," with the value of the response that the fitted model predicts at these same check points.

The observations at the check points are used only for testing lack of fit and are not used in fitting the model.

It is shown that under the usual assumptions of independent and normally distributed errors, the lack of fit test statistic which uses the data at the check points is an F statistic. When no lack of fit is present the statistic possesses a central F distribution, but in general, in the presence of lack of fit, the statistic possesses a doubly noncentral F distribution. The power of this F test depends on the location of the check points in the factor space through its noncentrality parameters. A method of selecting check points that maximize the power of the test for lack of fit through their influence on the numerator noncentrality parameter is developed.

A second method for detecting lack of fit relies on replicated response observations. The residual sum of squares from the fitted model is partitioned into a pure error variation component and into a lack of fit variation component. Lack of fit is detected if the lack of fit variation is large in comparison to the pure error variation. This method can be generalized when "near neighbor" observations must be substituted for replicates.

In this case, the test statistic (assuming independent and normally distributed errors) has a central F distribution when the fitted model is adequate and a doubly noncentral F distribution under lack of fit. The arrangement of near neighbors is seen to affect the testing procedure and its power.

Dissertation Discovery Company and University of Florida are dedicated to making scholarly works more discoverable and accessible throughout the world. This dissertation, "Testing Lack of Fit in a Mixture Model" by John Thomas Shelton, was obtained from University of Florida and is being sold with permission from the author. A digital copy of this work may also be found in the university's institutional repository, IR@UF. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation.

Автор: Wickrama, Kandauda A.s. Lee, Tae Kyoung (university Of Georgia, Usa) O`neal, Catherine Walker (university Of Georgia, Usa) Lorenz, Frederick O.
Название: Higher-order growth curves and mixture modeling with mplus
ISBN: 0367711265 ISBN-13(EAN): 9780367711269
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental steps.The authors extend latent growth curves to second-order growth curve and mixture models and then combine the two using normal and non-normal (e.g., categorical) data. To maximize understanding, each model is presented with basic structural equations, figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results. Examples from a variety of disciplines demonstrate the use of the models and exercises allow readers to test their understanding of the techniques. A comprehensive introduction to confirmatory factor analysis, latent growth curve modeling, and growth mixture modeling is provided so the book can be used by readers of various skill levels. The book’s datasets are available on the web.New to this edition:* Two new chapters providing a stepwise introduction and practical guide to the application of second-order growth curves and mixture models with categorical outcomes using the Mplus program. Complete with exercises, answer keys, and downloadable data files.* Updated illustrative examples using Mplus 8.0 include conceptual figures, Mplus program syntax, and an interpretation of results to show readers how to carry out the analyses with actual data.This text is ideal for use in graduate courses or workshops on advanced structural equation, multilevel, longitudinal or latent variable modeling, latent growth curve and mixture modeling, factor analysis, multivariate statistics, or advanced quantitative techniques (methods) across the social and behavioral sciences.