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--United States 12 records	12 records
Subject: Multilevel marketing--United States--History 1 record	1 record
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 112 records Broader terms (in subject list): Mathematical models (1990 records) Regression analysis (934 records)	112 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 12 records Broader term (in subject list): Algebra (3565 records)	12 records
Subject: Multilinear algebra--Congresses 1 record	1 record
Subject: Multilinear algebra--Periodicals 2 records	2 records
Subject: multilingual 1 record	1 record
Subject: Multilingual communication About this subject - Opens in new windowopen_in_new 18 records Broader term (in subject list): Communication (6842 records)	18 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--Europe--Congresses 2 records	2 records

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