Goodness-of-fit diagnostics.

Randomized quantile residuals (RQRs) for assessing goodness-of-fit for models fit to polar bear encounter data. RQRs should be uniformly distributed on (0,1) for a well-fitting model. Also presented are χ 2 test p-values to assess uniformity.

Bibliographic Details
Main Authors:	Paul B. Conn (10757351), Vladimir I. Chernook (10757354), Erin E. Moreland (2926935), Irina S. Trukhanova (4348330), Eric V. Regehr (9258385), Alexander N. Vasiliev (1733518), Ryan R. Wilson (9258382), Stanislav E. Belikov (10757357), Peter L. Boveng (10757360)
Format:	Still Image
Language:	unknown
Published:	2021
Subjects:	Ecology Inorganic Chemistry Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified density study area Chukchi Sea Polar e.g Aerial survey estimates sea ice CI effort abundance resource selection functions model Chukchi Sea Chukchi Sea ice
Online Access:	https://doi.org/10.1371/journal.pone.0251130.g003

Description
Summary:	Randomized quantile residuals (RQRs) for assessing goodness-of-fit for models fit to polar bear encounter data. RQRs should be uniformly distributed on (0,1) for a well-fitting model. Also presented are χ 2 test p-values to assess uniformity.