Data-Mining Homogeneous Subgroups in Multiple Regression When Heteroscedasticity, Multicolilnearity, and Missing Variables Confound Predictor Effects (Record no. 704672)

MARC details
000 -LEADER
fixed length control field 00591nab a2200145Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230808s2020 |||||||f |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Francoeur, Richard B.
9 (RLIN) 679815
245 #0 - TITLE STATEMENT
Title Data-Mining Homogeneous Subgroups in Multiple Regression When Heteroscedasticity, Multicolilnearity, and Missing Variables Confound Predictor Effects
300 ## - PHYSICAL DESCRIPTION
Extent 01-59 p.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Data Mining
9 (RLIN) 844
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multiple Regression
9 (RLIN) 163181
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Heteroscedasticity
9 (RLIN) 679816
773 ## - HOST ITEM ENTRY
Place, publisher, and date of publication 2020
Title Advances in Data Science and Adaptive Analysis: Theory and Applications
International Standard Serial Number 17935369
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Articles
-- 51
-- ABUL KALAM Library
Holdings
Not for loan Home library Serial Enumeration / chronology Total Checkouts Date last seen Koha item type
Available on Request Engr Abul Kalam Library Vol.12, No.02 (Apr. 2020)   19/08/2023 Articles