Regression Analysis: Classical and Bayesian

Autor:	Peter Urbach
Rok vydání:	1992
Předmět:	Philosophy History Variable (computer science) Proper linear model History and Philosophy of Science Statistics Local regression Regression analysis Segmented regression Bayesian linear regression Regression diagnostic Nonparametric regression Mathematics
Zdroj:	The British Journal for the Philosophy of Science. 43:311-342
ISSN:	1464-3537 0007-0882
DOI:	10.1093/bjps/43.3.311
Popis:	We are often interested in how some variable quantity depends on other variable quantities. We may ask, for instance, how the volume occupied by a gas is related to its temperature and pressure, or the boiling point of a fluid to the ambient pressure, or the level of outdoor crime to the amount of street illumination. Such relationships are often guessed at from specific values exhibited by the variables in experiments; but precisely how those guesses, or inferences, are made and justified is difficult and debatable. The difficulty is in part the familiar one that infinitely many different relationships are compatible with any actual
Databáze:	OpenAIRE
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