R-squared and prediction in regression with ordered quantitative response

Autor:	A. R. Tremayne, Diane Dancer
Rok vydání:	2005
Předmět:	Statistics and Probability Variable (computer science) Coefficient of determination Covariate Statistics Feature (machine learning) Econometrics Mean and predicted response Statistics Probability and Uncertainty Conditional expectation Regression Mathematics Rank correlation
Zdroj:	Journal of Applied Statistics. 32:483-493
ISSN:	1360-0532 0266-4763
DOI:	10.1080/02664760500079423
Popis:	This paper is concerned with the use of regression methods to predict values of a response variable when that variable is naturally ordered. An application to the prediction of student examination performance is provided and it is argued that, although individual scores are unlikely to be well predicted at the extremes of the range using the conditional mean, conditional on covariates, it is possible to usefully predict where an individual is likely to feature in the rank order of performance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bf4085e1d2ba15e634c3af8ba53b38bc https://doi.org/10.1080/02664760500079423 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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