# Show Reference: "Introduction to Akaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle"

Introduction to Akaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle In Breakthroughs in Statistics (1992), pp. 599-609, doi:10.1007/978-1-4612-0919-5_37 by Jan deLeeuw edited by Samuel Kotz, NormanL Johnson
@incollection{deleeuw-1992,
abstract = {The problem of estimating the dimensionality of a model occurs in various forms in applied statistics: estimating the number of factors in factor analysis, estimating the degree of a polynomial describing the data, selecting the variables to be introduced in a multiple regression equation, estimating the order of an {AR} or {MA} time series model, and so on.},
author = {deLeeuw, Jan},
booktitle = {Breakthroughs in Statistics},
citeulike-article-id = {13434979},
doi = {10.1007/978-1-4612-0919-5\_37},
editor = {Kotz, Samuel and Johnson, Norman L.},
keywords = {math, model-selection, multi-modality, statistics},
pages = {599--609},
posted-at = {2014-11-20 14:25:42},
priority = {2},
publisher = {Springer-Verlag},
series = {Springer Series in Statistics},
title = {Introduction to {A}kaike (1973) Information Theory and an Extension of the Maximum Likelihood Principle},
url = {http://dx.doi.org/10.1007/978-1-4612-0919-5\_37},
year = {1992}
}