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LACK-OF-FIT TESTS BASED ON WEIGHTED RATIO OF RESIDUALS AND VARIANCES
Ist Teil von
Journal of systems science and complexity, 2012-12, Vol.25 (6), p.1202-1214
Ort / Verlag
Beijing: Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Erscheinungsjahr
2012
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
This article proposes a new lack-of-test based on the weighted ratio of residuals and variances for partially linear regression models. The large and small sampling properties of the proposed test are established. The testing procedure is illustrated via several examples. Simulation studies show that the testing procedures are powerful even in small samples. An application of the test to a real data set is presented.