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. In clinical research many examples can be given...Lasīt vairāk
This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., mechanistic principles) to solve intractable problems. Traditional data science meth...Lasīt vairāk
Merges two seemingly disparate econometric fields, quantile estimation and stochastic frontier analysis (SFA). Quantiles exist on a continuum of the distribution; the frontier is a fixed object of it. As will be seen, these two approaches can, when...Lasīt vairāk
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. In clinical research many examples can...Lasīt vairāk
This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., mechanistic principles) to solve intractable problems. Traditional...Lasīt vairāk
(Izdošanas datums: 08-Jul-2021, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119715177)
Quantile regression aims at estimating either the conditional median or other quantiles of the response variable. Essentially, quantile regression is the extension of linear regression and we use it when the conditions of linear reg...Lasīt vairāk
(Izdošanas datums: 18-Jun-2021, Other digital carrier, Izdevniecība: Wiley-Blackwell, ISBN-13: 9781119714958)
Quantile regression aims at estimating either the conditional median or other quantiles of the response variable. Essentially, quantile regression is the extension of linear regression and we use it when the conditions of linear reg...Lasīt vairāk
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case....Lasīt vairāk
Sērija : Wiley Series in Probability and Statistics
(Izdošanas datums: 14-Sep-2018, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781118863596)
Contains an overview of several technical topics of Quantile Regression Volume two of Quantile Regression offers an important guide for applied researchers that draws on the same example-based approach adopted...Lasīt vairāk
Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case....Lasīt vairāk
(Izdošanas datums: 29-Aug-2014, Other digital carrier, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781118752685)
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 m...Lasīt vairāk
Sērija : Wiley Series in Probability and Statistics
(Izdošanas datums: 13-Dec-2013, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119975281)
Quantile regression is a widely used statistical tool in many fields, and this excellent overview provides the necessary background and advanced tools for using it in a variety of contexts. Beginning with an introductory chapter describing the founda...Lasīt vairāk
