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Models for Data Analysis, Brentari


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Цена: 25155.00р.
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Автор: Brentari
Название:  Models for Data Analysis
ISBN: 9783031158841
Издательство: Springer
Классификация:

ISBN-10: 3031158849
Обложка/Формат: Hardback
Страницы: 318
Вес: 0.72 кг.
Дата издания: 07.03.2023
Серия: Springer Proceedings in Mathematics & Statistics
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 59 illustrations, color; 28 illustrations, black and white; x, 318 p. 87 illus., 59 illus. in color.
Размер: 160 x 242 x 23
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: Sis 2018, palermo, italy, june 20-22
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The 49Th Scientific meeting of the Italian Statistical Society was held in June 2018 in Palermo, with more than 450 attendants. There were plenary sessions as well as specialized and solicited and contributed sessions. This volume collects a selection of twenty extended contributions covering a wide area of applied and theoretical issues, according to the modern trends in statistical sciences. Only to mention some topics, there are papers on modern textual analysis, sensorial analysis, social inequalities, themes on demography, modern modeling of functional data and high dimensional data, and many other topics. This volume is addressed to academics, PhD students, professionals and researchers in applied and theoretical statistical models for data analysis.
Дополнительное описание: 1 Rossella Berni, Nedka Dechkova Nikiforova, Patrizia Pinelli, Consumers’ preferences for coffee consumption: a choice experiment integrated with tasting and chemical analyses.- 2 Michele Costa, Gender gap assessment and inequality decomposition.- 3 Anton



Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Advanced data analysis in neuroscience

Автор: Durstewitz, Daniel
Название: Advanced data analysis in neuroscience
ISBN: 3319599747 ISBN-13(EAN): 9783319599748
Издательство: Springer
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Цена: 7965.00 р.
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Описание: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics.

Lifetime Data: Models in Reliability and Survival Analysis

Автор: Nicholas P. Jewell; Alan C. Kimber; Mei-Ling Ting
Название: Lifetime Data: Models in Reliability and Survival Analysis
ISBN: 0792337832 ISBN-13(EAN): 9780792337836
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University.

Grade Models and Methods for Data Analysis

Автор: Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick
Название: Grade Models and Methods for Data Analysis
ISBN: 3540211209 ISBN-13(EAN): 9783540211204
Издательство: Springer
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Цена: 26122.00 р.
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Описание: This book provides a new grade methodology for intelligent data analysis. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners.

Grade Models and Methods for Data Analysis

Автор: Teresa Kowalczyk; Elzbieta Pleszczynska; Frederick
Название: Grade Models and Methods for Data Analysis
ISBN: 3642535615 ISBN-13(EAN): 9783642535611
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
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Описание: This book provides a new grade methodology for intelligent data analysis. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners.

Data analysis using hierarchical generalized linear models with r

Автор: Lee, Youngjo Ronnegard, Lars Noh, Maengseok
Название: Data analysis using hierarchical generalized linear models with r
ISBN: 0367657929 ISBN-13(EAN): 9780367657925
Издательство: Taylor&Francis
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Цена: 7348.00 р.
Наличие на складе: Поставка под заказ.

Описание: Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data examples, illustrates how to

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Автор: Wilson Jeffrey R., Vazquez-Arreola Elsa, Chen (din) Ding-Geng
Название: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
ISBN: 3030489035 ISBN-13(EAN): 9783030489038
Издательство: Springer
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Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Автор: Wilson Jeffrey R., Vazquez-Arreola Elsa, Chen (din) Ding-Geng
Название: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
ISBN: 303048906X ISBN-13(EAN): 9783030489069
Издательство: Springer
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.

Explanatory model analysis

Автор: Biecek, Przemyslaw Burzykowski, Tomasz (hasselt University, Belgium)
Название: Explanatory model analysis
ISBN: 0367693925 ISBN-13(EAN): 9780367693923
Издательство: Taylor&Francis
Рейтинг:
Цена: 6889.00 р.
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Описание: This book is about a new field in statistical machine learning - about interpretation and explanation of predictive models. Machine learning models are widely used in predictive modelling, both for regression and classification.

Data Analysis and Approximate Models

Автор: Davies, Patrick Laurie
Название: Data Analysis and Approximate Models
ISBN: 1482215861 ISBN-13(EAN): 9781482215861
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
Наличие на складе: Поставка под заказ.

Ranked Set Sampling Models and Methods

Автор: Bouza-Herrera Carlos N.
Название: Ranked Set Sampling Models and Methods
ISBN: 1799875563 ISBN-13(EAN): 9781799875567
Издательство: Mare Nostrum (Eurospan)
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Цена: 31046.00 р.
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Описание: When it comes to data collection and analysis, ranked set sampling (RSS) continues to increasingly be the focus of methodological research. This type of sampling is an alternative to simple random sampling and can offer substantial improvements in precision and efficient estimation. There are different methods within RSS that can be further explored and discussed. On top of being efficient, RSS is cost-efficient and can be used in situations where sample units are difficult to obtain. With new results in modeling and applications, and a growing importance in theory and practice, it is essential for modeling to be further explored and developed through research.

Ranked Set Sampling Models and Methods presents an innovative look at modeling survey sampling research and new models of RSS along with the future potentials of it. The book provides a panoramic view of the state of the art of RSS by presenting some previously known and new models. The chapters illustrate how the modeling is to be developed and how they improve the efficiency of the inferences. The chapters highlight topics such as bootstrap methods, fuzzy weight ranked set sampling method, item count technique, stratified ranked set sampling, and more.

This book is essential for statisticians, social and natural science scientists, physicians and all the persons involved with the use of sampling theory in their research along with practitioners, researchers, academicians, and students interested in the latest models and methods for ranked set sampling.

Multistate Models for the Analysis of Life History Data

Автор: Cook, Richard J
Название: Multistate Models for the Analysis of Life History Data
ISBN: 0367571722 ISBN-13(EAN): 9780367571726
Издательство: Taylor&Francis
Рейтинг:
Цена: 7195.00 р.
Наличие на складе: Поставка под заказ.


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