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22:59 T1_2_Regression_Testing T1_2_Regression_Testing	T1_2_Regression_Testing This part of the lecture covers Regression Testing, gives a few examples from past EPCC projects and discusses the selection of suitable tests. regression testing case study selection testing test oracle From Evgenij Belikov on October 7th, 2020 0 likes 26 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution
15:12 RMS2 (20-21): 2.2 RMS2 (20-21): 2.2	RMS2 (20-21): 2.2 Research Methods & Statistics 2 (20-21) Week 2 Lecture 2 predictors model models predictor linear coefficients beta variables effect control performance variable outcome deviation interaction unit class values relationship regression From Josiah King on September 20th, 2020 0 likes 366 plays 0 Licence Type All rights reserved The University of Edinburgh
13:31 RMS2 (20-21): 2.4 RMS2 (20-21): 2.4	RMS2 (20-21): 2.4 Research Methods & Statistics 2 (20-21), Week 2 Lecture 4 coefficients error model predictor predictors confidence standard evaluation coefficient estimate regression linear calculation correlation term beta errors square interval interaction From Josiah King on September 20th, 2020 0 likes 378 plays 0 Licence Type All rights reserved The University of Edinburgh
13:47 dapR2 (20-21): 7.3 dapR2 (20-21): 7.3	dapR2 (20-21): 7.3 coefficients error model predictor predictors confidence standard evaluation coefficient estimate regression linear calculation correlation term beta errors square interval interaction From Thomas Booth on September 19th, 2020 0 likes 0 plays 0
15:57 dapR2 (20-21): 7.1 dapR2 (20-21): 7.1	dapR2 (20-21): 7.1 predictors model models linear predictor variables coefficients beta effect control performance variable outcome deviation interaction unit class values relationship regression From Thomas Booth on September 19th, 2020 0 likes 2 plays 0
11:53 RMS2 (20-21) 4.6 RMS2 (20-21) 4.6	RMS2 (20-21) 4.6 Research Methods & Statistics 2 (20-21) Week 4 Lecture 6 regression influence cases model error values standard coefficients predictor ratio coefficient predictors diagnostics errors function leverage context models linear measures From Josiah King on September 18th, 2020 0 likes 206 plays 0 Licence Type All rights reserved The University of Edinburgh
11:20 RMS2 (20-21) 4.3 RMS2 (20-21) 4.3	RMS2 (20-21) 4.3 Research Methods & Statistics 2 (20-21) Week 4 Lecture 3 multicollinearity predictors predictor regression model linear values errors outcome linearity vif assumption assumptions problem function plots performance context relation thing From Josiah King on September 18th, 2020 0 likes 216 plays 0 Licence Type All rights reserved The University of Edinburgh
14:51 RMS2 (20-21) 4.4 RMS2 (20-21) 4.4	RMS2 (20-21) 4.4 Research Methods & Statistics 2 (20-21) Week 4 Lecture 4 cases model regression values linear residuals variable hat outliers leverage score test size predictor sample models influence times object axis From Josiah King on September 18th, 2020 0 likes 254 plays 0 Licence Type All rights reserved The University of Edinburgh
13:01 RMS2 (20-21) 4.5 RMS2 (20-21) 4.5	RMS2 (20-21) 4.5 Research Methods & Statistics 2, 2020/21.Week 4Lecture 5 cases values distance influence model leverage kicks diagnostics point decisions variable cook cutoff hat residuals regression transformation cakes approach object From Josiah King on September 18th, 2020 0 likes 227 plays 0 Licence Type All rights reserved The University of Edinburgh
07:44 RMS2 (20-21) 4.2 RMS2 (20-21) 4.2	RMS2 (20-21) 4.2 Research Methods & Statistics 2 (20-21) Week 4 Lecture 2 values variable transformation log function assumptions variables heteroscedasticity outcome residuals normality homoscedasticity errors regression assumption end skewness nonlinearity relations experience From Josiah King on September 18th, 2020 0 likes 202 plays 0 Licence Type All rights reserved The University of Edinburgh
21:46 RMS2 (20-21) 4.1 RMS2 (20-21) 4.1	RMS2 (20-21) 4.1 Research Methods & Statistics 2 (20-21) Week 4 Lecture 1 assumption linear regression test model errors values residuals assumptions homoscedasticity plot function variance normality linearity relationship plots independence violation distribution From Josiah King on September 18th, 2020 0 likes 215 plays 0 Licence Type All rights reserved The University of Edinburgh
12:54 dapR2 (20-21): 9.2 dapR2 (20-21): 9.2	dapR2 (20-21): 9.2 Data Analysis in Psychology in R 2, 2020/21.Week 9Lecture 2 regression model cases influence error coefficients predictors predictor ratio values standard coefficient linear diagnostics errors function performance leverage context measures From Aja Murray on September 12th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
12:26 dapR2 (20-21): 9.1 dapR2 (20-21): 9.1	dapR2 (20-21): 9.1 Data Analysis in Psychology in R 2, 2020/21.Week 9Lecture 1 predictors multicollinearity predictor regression linear model outcome assumptions vif values errors linearity assumption problem function performance context relation thing models From Aja Murray on September 12th, 2020 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh
13:28 dapR2 (20-21): 5.2 dapR2 (20-21): 5.2	dapR2 (20-21): 5.2 Data Analysis in Psychology in R 2, 2020/21.Week 5Lecture 2 cases values distance influence model leverage kicks diagnostics point decisions variable cook cutoff hat residuals regression transformation cakes approach object From Aja Murray on September 12th, 2020 0 likes 98 plays 0 Licence Type All rights reserved The University of Edinburgh
15:40 dapR2 (20-21): 5.1 dapR2 (20-21): 5.1	dapR2 (20-21): 5.1 Data Analysis in Psychology in R 2, 2020/21.Week 5Lecture 1 cases model regression values linear residuals hat variable leverage outliers score test sample times size influence object axis reason individuals From Aja Murray on September 12th, 2020 0 likes 94 plays 0 Licence Type All rights reserved The University of Edinburgh
08:08 dapR2 (20-21): 4.4 dapR2 (20-21): 4.4	dapR2 (20-21): 4.4 values variable transformation log function assumptions variables heteroscedasticity outcome residuals normality homoscedasticity errors regression assumption end skewness nonlinearity relations experience From Aja Murray on September 12th, 2020 0 likes 128 plays 0

Search for tag: "regression"

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