Browse “Multilevel models (Statistics)” in an alphabetical list of subjects

Browse by subject help: Search within an alphabetical list of all Library of Congress Subject Headings - Opens in new windowopen_in_new (LCSH) indexed in the Library catalog.

Subject	Records
Subject: Multilevel marketing--Southeast Asia 1 record	1 record
Subject: Multilevel marketing--United States 12 records	12 records
We found a matching subject in our catalog for: Multilevel models (Statistics).
Subject: Multilevel models (Statistics) About this subject - Opens in new windowopen_in_new 53 records Broader terms (in subject list): Mathematical models (1643 records) Regression analysis (910 records)	53 records
Subject: Multilevel models (Statistics)--Problems, exercises, etc 1 record	1 record
Subject: Multilevel models (Statistics)--Research 1 record	1 record
Subject: Multilevel models (Statistics)--Research--Case studies 1 record	1 record
Subject: Multilevel models (Statistics)--Textbooks 1 record	1 record
Subject: Multilimgualism 1 record	1 record
Subject: Multilinear algebra About this subject - Opens in new windowopen_in_new 13 records Broader term (in subject list): Algebra (3339 records)	13 records
Subject: Multilinear algebra--Congresses 1 record	1 record
Subject: Multilinear algebra--Periodicals 2 records	2 records
Subject: multilingual 2 records	2 records
Subject: Multilingual communication About this subject - Opens in new windowopen_in_new 19 records Broader term (in subject list): Communication (6746 records)	19 records
Subject: Multilingual communication--Africa, Sub-Saharan 1 record	1 record
Subject: Multilingual communication--Asia 1 record	1 record
Subject: Multilingual communication--Australia 1 record	1 record
Subject: Multilingual communication--Austria--History 1 record	1 record
Subject: Multilingual communication--Canada--History--20th century 2 records	2 records
Subject: Multilingual communication--Case studies 1 record	1 record
Subject: Multilingual communication--Drama 1 record	1 record

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Give feedback about this pageopen_in_new