Search for tag: "residuals"

13 Media

DDC Session 7 Recording duration 1 hour 31 minutes DDC Session 7 Recording DDC Session 7 Recording	DDC Session 7 Recording Recording of session 7 (fitting) of data-driven chemistry 2021-22 python data-driven chemistry function fit plot dataset correlation points linear minimum residuals point error array concentration variable functions temperature breakout slope solubility kind From James Cumby 0 likes 34 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Language English Date Created November 4th, 2021 Retain Source File Yes
Alexander Wray duration 31 minutes 21 seconds Alexander Wray Alexander Wray	Alexander Wray New Developments in Reduced Order Modelling Alexander Wray, University of Strathclyde Friday 15 October This recording is subtitled. You can turn off the subtitles by pressing CC. icms reduced order modelling wray model equation dns problem thing method control models things gravity equations evolution stress layer solution stream phi agreement sort residuals From Sarah Black 0 likes 29 plays 0 Licence Type All rights reserved Date Created October 15th, 2021
EEA 2021 - Linear Regression duration 27 minutes 31 seconds EEA 2021 - Linear Regression EEA 2021 - Linear Regression	EEA 2021 - Linear Regression Lecture for linear regression and non-parametric equivalent. linear regression model variable correlation analysis relationship variables variance residuals heteroscedasticity bit models assumption variation values assumptions log test x. From Kyle Dexter 0 likes 89 plays 0 Licence Type Creative Commons - Attribution Non Commercial
EEA 2021 - Analysis of Variance duration 33 minutes 15 seconds EEA 2021 - Analysis of Variance EEA 2021 - Analysis of Variance	EEA 2021 - Analysis of Variance Lecture on analysis of variance and parametric equivalents variance distribution categories flowers analysis groups test values variation model probability freedom degrees tests sample residuals linear parameters flower things From Kyle Dexter 0 likes 92 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
IDS - Week 09 - 01 - Keeping up with IDS duration 9 minutes 10 seconds IDS - Week 09 - 01 - Keeping up with IDS IDS - Week 09 - 01 - Keeping up with IDS	IDS - Week 09 - 01 - Keeping up with IDS Keeping up with IDS - Week 09 data science rstats week model models projects bit points things feedback regression outcome answer variable residuals employment salary end teams friday workshop testing From Mine Cetinkaya-Rundel 0 likes 16 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 08 - 04 - Modelling nonlinear… duration 20 minutes 43 seconds IDS - Week 08 - 04 - Modelling nonlinear… IDS - Week 08 - 04 - Modelling nonlinear relationships	IDS - Week 08 - 04 - Modelling nonlinear relationships Fitting a linear model to transformed data data science rstats model log residuals linear paintings relationship values plot transformation width painting variable response slope scatter pattern variables factor bit fit From Mine Cetinkaya-Rundel 0 likes 96 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 08 - 03 - Fitting and interpreting… duration 29 minutes 3 seconds IDS - Week 08 - 03 - Fitting and interpreting… IDS - Week 08 - 03 - Fitting and interpreting models	IDS - Week 08 - 03 - Fitting and interpreting models Fitting and interpreting models with numerical and categorical predictors. data science rstats model slope models painting paintings variables variable intercept packages residuals output inches regression formula width bit level levels numbers correlation From Mine Cetinkaya-Rundel 0 likes 66 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 08 - 02 - The language of models duration 27 minutes 16 seconds IDS - Week 08 - 02 - The language of models IDS - Week 08 - 02 - The language of models	IDS - Week 08 - 02 - The language of models Defining and visualizing models and a discussion on how they're used. data science rstats model paintings models painting width variables relationship landscape auction uncertainty plot variable function bit height inches prediction scatter residuals features From Mine Cetinkaya-Rundel 0 likes 62 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
USMR lecture 7 part 3 duration 19 minutes 30 seconds USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley 0 likes 418 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
USMR lecture 7 part 2 duration 15 minutes 43 seconds USMR lecture 7 part 2 USMR lecture 7 part 2	USMR lecture 7 part 2 independence; influence; model criticism usmr psychology ppls statistics rstats model observation age week observations reading plot dataset residuals outlier things hours distance practice influence dot graph correlation students predictors From Martin Corley 0 likes 431 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
USMR lecture 7 part 1 duration 14 minutes 52 seconds USMR lecture 7 part 1 USMR lecture 7 part 1	USMR lecture 7 part 1 model criticism usmr psychology ppls statistics rstats residuals model values plot deviations assumptions distribution observations linear plots fact dataset alcohol blood command relationship density slide graph bit From Martin Corley 0 likes 491 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
Diagnostics and Multiple Regression duration 3 minutes 50 seconds Diagnostics and Multiple Regression Diagnostics and Multiple Regression	Diagnostics and Multiple Regression Diagnosing problems and dealing with multiple output values predictive point regression analysis general regression caption complete capture good thing thing predictions systems theory output values 2017 outliers approach method iaml noise multiple linear relationship residual effects problem structure outline vectors michael linear regression thought sensitive situation model output values kind residuals problems idea vector weight regressions From Nigel Goddard 2 likes 3,746 plays 0 Licence Type Creative Commons - Attribution
A Probilistic View duration 3 minutes 15 seconds A Probilistic View A Probilistic View	A Probilistic View A probabilistic formulation of the linear model square probability regression analysis gaussian probabilistically general predicts regression caption complete annoyance probabilistic systems theory 2017 mosquito function iaml noise linear model theory of probability distributions equivalent statistical terminology component effects output estimate likelihood probability theory structure remember solution linear regression algorithms residuals variance problem linear model error log input inverse pseudo method optimization score task From Nigel Goddard 0 likes 3,879 plays 0 Licence Type Creative Commons - Attribution