Data analysis using regression and multilevel/hierarchical models

Faculty of Health Sciences (VZSMB)

Data analysis using regression and multilevel/hierarchical models

Gelman, Andrew B. ; Hill, Jennifer, 1969-

Type of material - book ; adult, serious

Publication and manufacture - Cambridge ; New York : Cambridge University Press, 2009, cop. 2007

Language - english

ISBN - 978-0-521-86706-1; 978-0-521-68689-1

COBISS.SI-ID - 29510237

Link(s):
http://www.loc.gov/catdir/enhancements/fy0668/2006040566-t.html
Repository of the University of Ljubljana – RUL

Keep searching

Author
Gelman, Andrew B. | Hill, Jennifer, 1969-

Holdings
Availability in other libraries

Call number – location, accession no. ...	Copy status	Reservation
Knjižnica 51 GELMAN A.B. Data analysis IN: 020110071	on loan - outside loan, due date: not specified

Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.

Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Gelman, Andrew B.
Hill, Jennifer, 1969-

Source: Personal bibliographies and: SICRIS

The material from the parent unit is free. If the material is delivered to the pickup location from another unit, the library may charge you for this service.

Pickup location	Material status	Reservation

Upload image

Shelf entry

Adding material to shelf was successful.

Adding material to shelf failed.

It was not necessary to add the material to the shelf.

Permalink

E-mail

Impact factor

Select the library membership card:

DRS, in which the journal is indexed

Select pickup location:

Material pickup by post

Notification

Citations

Subject headings in COBISS General List of Subject Headings

Select pickup location

Reservation was successful.

Reservation failed.

Reservation...

Bibliographic data

Number of loans

Loan was successful

Loan failed

Loan was successful

Loan failed

Loan was successful

Loan failed

Loan was successful

Loan failed

Theme