skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Testing for two-phase regressions

Abstract

The critical values for testing for a two-phase regression are given by simulation methods. The dependence of the test on the values of the independent variable is investigated, and a comparison is made between the critical values of the simulation and those given by use of Bonferroni's inequality. 3 tables.

Authors:
 [1];
  1. (Los Alamos Scientific Lab., NM)
Publication Date:
OSTI Identifier:
6846160
Alternate Identifier(s):
OSTI ID: 6846160
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Journal Article
Journal Name:
Technometrics; (United States)
Additional Journal Information:
Journal Volume: 21:1
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; REGRESSION ANALYSIS; GAMMA RADIATION; HYDROGEN SULFIDES; PRESSURE DEPENDENCE; RADIOLYSIS; SAMPLING; SIMULATION; TESTING; THIOLS; YIELDS; CHALCOGENIDES; CHEMICAL RADIATION EFFECTS; CHEMICAL REACTIONS; CHEMISTRY; DECOMPOSITION; ELECTROMAGNETIC RADIATION; HYDROGEN COMPOUNDS; IONIZING RADIATIONS; MATHEMATICS; ORGANIC COMPOUNDS; ORGANIC SULFUR COMPOUNDS; RADIATION CHEMISTRY; RADIATION EFFECTS; RADIATIONS; STATISTICS; SULFIDES; SULFUR COMPOUNDS 990200* -- Mathematics & Computers

Citation Formats

Beckman, R.J., and Cook, R.D. Testing for two-phase regressions. United States: N. p., 1979. Web. doi:10.1080/00401706.1979.10489723.
Beckman, R.J., & Cook, R.D. Testing for two-phase regressions. United States. doi:10.1080/00401706.1979.10489723.
Beckman, R.J., and Cook, R.D. Thu . "Testing for two-phase regressions". United States. doi:10.1080/00401706.1979.10489723.
@article{osti_6846160,
title = {Testing for two-phase regressions},
author = {Beckman, R.J. and Cook, R.D.},
abstractNote = {The critical values for testing for a two-phase regression are given by simulation methods. The dependence of the test on the values of the independent variable is investigated, and a comparison is made between the critical values of the simulation and those given by use of Bonferroni's inequality. 3 tables.},
doi = {10.1080/00401706.1979.10489723},
journal = {Technometrics; (United States)},
number = ,
volume = 21:1,
place = {United States},
year = {1979},
month = {2}
}