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Quantile Regression in Clinical Research: Complete Analysis for Data at a Loss of Homogeneity, Cleophas Ton J., Zwinderman Aeilko H.


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Автор: Cleophas Ton J., Zwinderman Aeilko H.
Название:  Quantile Regression in Clinical Research: Complete Analysis for Data at a Loss of Homogeneity
ISBN: 9783030828394
Издательство: Springer
Классификация:



ISBN-10: 3030828395
Обложка/Формат: Hardcover
Вес: 0.63 кг.
Дата издания: 16.10.2021
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 1 illustrations, black and white; xii, 290 p. 1 illus. with online files/update.; 1 illustrations, black and white; xii, 290 p. 1 illus. with online f
Размер: 23.95 x 18.85 x 1.93 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Complete analysis for data at a loss of homogeneity
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. Step by step analyses of over 20 data files stored at extras.springer.com are included for self-assessment.


Quantile regression

Автор: Koenker, Roger
Название: Quantile regression
ISBN: 0521608279 ISBN-13(EAN): 9780521608275
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Quantile Regression

Автор: Davino Cristina
Название: Quantile Regression
ISBN: 111997528X ISBN-13(EAN): 9781119975281
Издательство: Wiley
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Цена: 11555.00 р.
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Описание: A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.

Quantile-Based Reliability Analysis

Автор: N. Unnikrishnan Nair; P.G. Sankaran; N. Balakrishn
Название: Quantile-Based Reliability Analysis
ISBN: 149395167X ISBN-13(EAN): 9781493951673
Издательство: Springer
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Цена: 8378.00 р.
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Описание: This book provides a fresh approach to reliability theory, an area that has gained increasing relevance in fields from statistics and engineering to demography and insurance. Its innovative use of quantile functions gives an analysis of lifetime data that is generally simpler, more robust, and more accurate than the traditional methods, and opens the door for further research in a wide variety of fields involving statistical analysis. In addition, the book can be used to good effect in the classroom as a text for advanced undergraduate and graduate courses in Reliability and Statistics.

Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

Автор: Uribe Jorge M., Guillen Montserrat
Название: Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R
ISBN: 3030445038 ISBN-13(EAN): 9783030445034
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables.

Quantile Regression: Applications on Experimental and Cross Section Data Using Eviews

Автор: Agung I. Gusti Ngurah
Название: Quantile Regression: Applications on Experimental and Cross Section Data Using Eviews
ISBN: 1119715172 ISBN-13(EAN): 9781119715177
Издательство: Wiley
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Цена: 15674.00 р.
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Описание: QUANTILE REGRESSION

A thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses

The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, and engineering.

Quantile Regression: Applications on Experimental and Cross Section Data Using EViews provides examples of statistical results of various QR analyses based on experimental and cross section data of a variety of regression models. The author covers the applications of one-way, two-way, and n-way ANOVA quantile regressions, QRs with multi numerical predictors, heterogeneous QRs, and latent variables QRs, amongst others. Throughout the text, readers learn how to develop the best possible quantile regressions and how to conduct more advanced analysis using methods such as the quantile process, the Wald test, the redundant variables test, residual analysis, the stability test, and the omitted variables test. This rigorous volume:

  • Describes how QR can provide a more detailed picture of the relationships between independent variables and the quantiles of the criterion variable, by using the least-square regression
  • Presents the applications of the test for any quantile of any numerical response or -criterion variable
  • Explores relationship of QR with heterogeneity: how an independent variable affects a dependent variable
  • Offers expert guidance on forecasting and how to draw the best conclusions from the results obtained
  • Provides a step-by-step estimation method and guide to enable readers to conduct QR analysis using their own data sets
  • Includes a detailed comparison of conditional QR and conditional mean regression

Quantile Regression: Applications on Experimental and Cross Section Data Using EViews is a highly useful resource for students and lecturers in statistics, data analysis, econometrics, engineering, ecology, and healthcare, particularly those specializing in regression and quantitative data analysis.

Quantile Regression

Автор: Koenker
Название: Quantile Regression
ISBN: 0521845734 ISBN-13(EAN): 9780521845731
Издательство: Cambridge Academ
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Цена: 15682.00 р.
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Описание: Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences.

Economic Applications of Quantile Regression

Автор: Bernd Fitzenberger; Roger Koenker; Jose A.F. Macha
Название: Economic Applications of Quantile Regression
ISBN: 3790825026 ISBN-13(EAN): 9783790825022
Издательство: Springer
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Цена: 24456.00 р.
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Описание: Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables.

Quantile Regression: v. 149

Автор: Hao
Название: Quantile Regression: v. 149
ISBN: 1412926289 ISBN-13(EAN): 9781412926287
Издательство: Sage Publications
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Цена: 5859.00 р.
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Описание: Quantile Regression establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literatures exist for each subject matter, the authors explore the natural connections between this increasingly sought-after tool and research topics in the social sciences.


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