Princeton University. Art Museum. / http://id.loc.gov/authorities/names/n79129214 : Object lessons in American art / edited by Karl Kusserow ; with contributions by Horace D. Ballard, Kirsten Pai Buick, Ellery E. Foutch, Karl Kusserow, Jeffrey Richmond-Moll, Rebecca Zorach
2023
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Princeton University. Art Museum -- Exhibitions : Object lessons in American art / edited by Karl Kusserow ; with contributions by Horace D. Ballard, Kirsten Pai Buick, Ellery E. Foutch, Karl Kusserow, Jeffrey Richmond-Moll, Rebecca Zorach
2023
1
Princeton University -- Benefactors -- Legal status, laws, etc. -- United States. / http://id.loc.gov/authorities/names/n79055384 http://id.loc.gov/authorities/subjects/sh00007755 http://id.loc.gov/authorities/subjects/sh99004999 http://id.loc.gov/authorities/names/n78095330 : Abusing donor intent : the Robertson family's epic lawsuit against Princeton University / Doug White
Princeton University. Chapel. / http://id.loc.gov/authorities/names/nr89013120 : The Chapel of Princeton University by Richard Stillwell ; with a new foreword by Alison L. Boden
Princeton University. School of Architecture. / http://id.loc.gov/authorities/names/n83203924 : The SANAA studios 2006-2008 : learning from Japan : single story urbanism / School of Architecture, Princeton University ; edited by Florian Idenburg ; photography by Iwan Baan
Princeton University -- Trials, litigation, etc. / http://id.loc.gov/authorities/names/n79055384 http://id.loc.gov/authorities/subjects/sh99002033 : Abusing donor intent : the Robertson family's epic lawsuit against Princeton University / Doug White
Princetown (Vic.) -- Maps : Victoria topographic map 1:25 000. 7520-4-2, Princetown / prepared under the direction of the Surveyor-General by the Division of Survey and Mapping
Principaat. : Between republic and empire : interpretations of Augustus and his principate / edited by Kurt A. Raaflaub and Mark Toher ; with contributions by G.W. Bowersock [and others]
Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components