Search for tag: "coefficients"

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53:03 Generalised higher order Freud polynomials -… Generalised higher order Freud polynomials - Kerstin Jordaan	Generalised higher order Freud polynomials - Kerstin Jordaan OPSFOTA online seminar series Generalised higher order Freud polynomials Kerstin Jordaan (University of South Africa) 29 March 2021 The subtitles/captions on this talk are being edited. They will… mathematics recurrence polynomials weight equation lambda coefficients coefficient zeros functions moments expression weights relation degree function infinity term moment freud differential From GILLIAN KERR on March 29th, 2021 0 likes 6 plays 0 Licence Type All rights reserved Language english Date Created March 29th, 2021
18:31 FDS-S2-02-2-5 Maximum likelihood estimation of… FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients	FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic… inf2-fds beta log likelihood probability regression term failure function i. success sum naught principle coefficients point respect x. dataset equals thing From David Sterratt on January 20th, 2021 0 likes 125 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
10:14 FDS-S2-02-2-3 Multiple logistic regression and… FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses. inf2-fds odds beta regression hypothesis bootstrap intervals age confidence ratio hat method log credit coefficients coefficient variables fact statistic 95th dataset From David Sterratt on January 20th, 2021 0 likes 147 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 184 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
13:08 FDS-S2-01-2-7 Bootstrap confidence intervals FDS-S2-01-2-7 Bootstrap confidence intervals	FDS-S2-01-2-7 Bootstrap confidence intervals We introduce the bootstrap method of estimating confidence intervals inf2-fds sample bootstrap distribution confidence interval regression population variance estimate star bootstrapping table replacement loop things estimator idea coefficients coefficient intervals From David Sterratt on January 15th, 2021 0 likes 147 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
25:56 Distillation Lecture 5 2020 part 3 Distillation Lecture 5 2020 part 3	Distillation Lecture 5 2020 part 3 Distillation Lecture 5 2020 Activity coefficients: derivation from Gibbs free energy times term activity equation coefficients expression log minus parameter a1 moles values lot gibbs energy respect n1 fact form suffix From John Christy on December 31st, 2020 0 likes 34 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language English (British) Date Created December 31st, 2020
14:34 USMR lecture 8 part 3 USMR lecture 8 part 3	USMR lecture 8 part 3 interactions usmr psychology ppls statistics age times week hours word method model practice interaction reading phonics intercept effects training predictor values slope coefficients graph surface From Martin Corley on November 8th, 2020 0 likes 140 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
55:46 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona) Automated subtitles will appear on this video. Click "cc" to turn subtitles off. icms coefficients solution equation sigma condition space bar examples increments hypothesis measure power wave result conditions dimension hypotheses delta interval covariance From DIANE HORBERRY on November 5th, 2020 0 likes 87 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 4th, 2020
24:52 Waves in Complex Continua (Wavinar) - Matthew… Waves in Complex Continua (Wavinar) - Matthew Nethercote	Waves in Complex Continua (Wavinar) - Matthew Nethercote This talk has captions: You can remove the subtitles by pressing CC on the bottom toolbar. Captions are currently being edited to reflect the lecture. Matthew Nethercote, (University of Manchester,… icms wave array convergence formula kernel coefficients solution wedge scattering technique equation resonance systems approximation circle equations incident conditions scheme method From Liam Holligan on November 4th, 2020 0 likes 23 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 3rd, 2020
17:52 Topic 23: Moments and Definitions (PETARS,… Topic 23: Moments and Definitions (PETARS, Chapter 4)	Topic 23: Moments and Definitions (PETARS, Chapter 4) This video builds on Topic 21 by explicitly defining variance in terms of expectations, and the more general definition of moments. The video then considers calculating moments for a couple of… pgee11164 moments moment lambda variable function density probability times pdf variance power mu coefficients form n. integer distribution term deviation formula From James Hopgood on September 8th, 2020 0 likes 102 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 8th, 2020
50:49 Fourier Algebras for Orthogonal Matrix… Fourier Algebras for Orthogonal Matrix Polynomials - W Riley Casper	Fourier Algebras for Orthogonal Matrix Polynomials - W Riley Casper OPSFOTA seminar series Fourier Algebras for Orthogonal Matrix Polynomials W Riley Casper (California State University, Fullerton, USA) 27 August 2020 An automated programme is used to generate the… mathematics polynomials algebra matrix differential operator fourier operators weight difference equation sort times thing sequence transformations things coefficients guys equations lot From GILLIAN KERR on August 31st, 2020 0 likes 31 plays 0 Licence Type All rights reserved Language english Date Created August 27th, 2020
24:55 Poincaré duality groups - Dawid Kielak Poincaré duality groups - Dawid Kielak	Poincaré duality groups - Dawid Kielak Geometry and Topology online seminar series Poincaré duality groups Dawid Kielak (Oxford) 25 August 2020 geometry topology homology dimension pd groups alternative chain manifold complex bullet inequality definition coefficients kth duality theorem bit modules week point sense From GILLIAN KERR on August 26th, 2020 0 likes 39 plays 0 Licence Type All rights reserved Language english Date Created August 25th, 2020
04:47 Lecture 3 Part 2: Complicated Right Hand Sides. Lecture 3 Part 2: Complicated Right Hand Sides.	Lecture 3 Part 2: Complicated Right Hand Sides. In the second part of this lecture we look at how equations with a complicated right hand side is handled. differential equations function minus equation solution differential hand t. problem term side equations trial theorem sum coefficients x2 x1 operator superposition functions From David Ingram on July 6th, 2020 0 likes 4 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created June 29th, 2020
10:37 Lecture 3 Part 1: Solution of inhomogeneous,… Lecture 3 Part 1: Solution of inhomogeneous, linear, differential equations.	Lecture 3 Part 1: Solution of inhomogeneous, linear, differential equations. In this lecture we extend the ideas in lecture 2 to allow us to solve inhomogeneous equations. differential equations function equation solution side hand equations form trial differential coefficients star method linear lecture t. operator sine cubed minus approach From David Ingram on July 6th, 2020 0 likes 9 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Date Created June 29th, 2020
05:48 Lecture 2 Part 3: Mass-Spring-Damper Lecture 2 Part 3: Mass-Spring-Damper	Lecture 2 Part 3: Mass-Spring-Damper In the last part of this lecture we look at a man-spring damper system (without a driving force) and show how we can solve it using the methods outlined in the first two parts of the lecture. We… differential equations problem equation solution mass lecture places spring function minus coefficient millimeters side hand coefficients equations linear damper engineering oscillation plot From David Ingram on July 6th, 2020 0 likes 6 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created June 25th, 2020
01:55 Correlation coefficient Correlation coefficient	Correlation coefficient Correlation coefficient iaml evaluation correlation coefficient truth predictions numbers things curve points thing prediction bit scale coefficients patterns lots tasks rank relative shape sphere From Nigel Goddard on September 21st, 2016 0 likes 1,948 plays 0 Licence Type Creative Commons - Attribution

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