The Geometry of Asymptotic Inference Export

@article{Kass:GeometryAsymptoticInference, abstract = {Geometrical foundations of asymptotic inference are described in simple cases, without the machinery of differential geometry. A primary statistical goal is to provide a deeper understanding of the ideas of Fisher and Jeffreys. The role of differential geometry in generalizing results is indicated, further applications are mentioned, and geometrical methods in nonlinear regression are related to those developed for general parametric families.}, author = {Kass, Robert E.}, citeulike-article-id = {4123475}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/2245626}, citeulike-linkout-1 = {http://www.jstor.org/stable/2245626}, doi = {10.2307/2245626}, issn = {08834237}, journal = {Statistical Science}, keywords = {asymptotics, geometry, statistics}, number = {3}, pages = {188--219}, posted-at = {2009-03-03 14:23:57}, priority = {4}, publisher = {Institute of Mathematical Statistics}, title = {The Geometry of Asymptotic Inference}, url = {http://dx.doi.org/10.2307/2245626}, volume = {4}, year = {1989} }

TY - JOUR ID - Kass:GeometryAsymptoticInference L3 - citeulike-article-id:4123475 N2 - Geometrical foundations of asymptotic inference are described in simple cases, without the machinery of differential geometry. A primary statistical goal is to provide a deeper understanding of the ideas of Fisher and Jeffreys. The role of differential geometry in generalizing results is indicated, further applications are mentioned, and geometrical methods in nonlinear regression are related to those developed for general parametric families. IS - 3 JF - Statistical Science SN - 08834237 EP - 219 TI - The Geometry of Asymptotic Inference PB - Institute of Mathematical Statistics VL - 4 SP - 188 KW - asymptotics KW - geometry KW - statistics AU - Kass, Robert PY - 1989/// UR - http://dx.doi.org/10.2307/2245626 ER -