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21:04 Correlation functions in concentrated… Correlation functions in concentrated electrolytes from combined density functional and statistical field theories - Alina Ciach	Correlation functions in concentrated electrolytes from combined density functional and statistical field theories - Alina Ciach New directions in classical density functional theory online workshop 3 - 6 May 2021 Alina Ciach (Instytut Chemii Fizycznej PAN, Warszawa) Correlation functions in concentrated electrolytes from… mathematics function charge correlation density length fluctuations energy ions fluctuation contribution decay equation variance potential electrolytes charges account form theory functions From GILLIAN KERR on May 3rd, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language english Date Created May 3rd, 2021
58:06 ASR Lecture 13 ASR Lecture 13	ASR Lecture 13 ASR Lecture 13: Speaker adaptation speech recognition speaker adaptation model parameters transform speech vector network methods gaussians term training idea linear scheme space bit gaussian variance matrix From Peter Bell on March 25th, 2021 0 likes 56 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created March 29th, 2021
54:11 Automorphic Lie algebras and modular forms -… Automorphic Lie algebras and modular forms - Vincent Knibbeler	Automorphic Lie algebras and modular forms - Vincent Knibbeler VISS online seminar series Vincent Knibbeler, Loughborough University Automorphic Lie algebras and modular forms 17 March 2021 To remove the captions from this video press CC on the bottom toolbar.… mathematics algebra groups forms isomorphism function form matrix functions series weight power sphere condition punctures expression variance side puncture structure times From GILLIAN KERR on March 17th, 2021 0 likes 15 plays 0 Licence Type All rights reserved Language english Date Created March 17th, 2021
27:31 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 on March 4th, 2021 0 likes 43 plays 0 Licence Type Creative Commons - Attribution Non Commercial
33:15 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 on March 4th, 2021 0 likes 48 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
19:12 dapr2(20-21)15.1 dapr2(20-21)15.1	dapr2(20-21)15.1 Lect29a squares effect variance sums sum variables beta variable age predictor gender effects predictors x1 proneness account accounts anger stuff semester From Leonidas Doumas on February 7th, 2021 0 likes 184 plays 0 Licence Type All rights reserved
10:44 FDS-S2-03-1-3 Large sample theory of A/B testing FDS-S2-03-1-3 Large sample theory of A/B testing	FDS-S2-03-1-3 Large sample theory of A/B testing We work through how to apply large-sample theory to A/B testing. inf2-fds hat variance error minus standard estimator confidence expression b. interval estimate difference equation things parameter proportions sense alpha numbers population From David Sterratt on January 28th, 2021 0 likes 169 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 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 179 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
09:05 FDS-S2-01-2-3 Standard error FDS-S2-01-2-3 Standard error	FDS-S2-01-2-3 Standard error We introduce the standard error of an estimator and, in particular, the standard error of the mean. inf2-fds error standard distribution deviation estimator sigma root hat sample estimate variance replication samples n. estimates simulations size subscript thing parameter From David Sterratt on January 14th, 2021 0 likes 209 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
11:34 FDS-S2-01-2-2 Bias and variance FDS-S2-01-2-2 Bias and variance	FDS-S2-01-2-2 Bias and variance We'll introduce the concept of bias and variance of estimators. inf2-fds estimator variance distribution bias sample expectation estimate parameter theta error bar hat bit estimators variable mu samples difference minus sense From David Sterratt on January 14th, 2021 0 likes 235 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
13:46 Intro to Piazza Discussion Forum Intro to Piazza Discussion Forum	Intro to Piazza Discussion Forum A quick introduction to Piazza uoepsy question answer bar editor button formula questions discussion settings instructor students summary variance sample picture pin menu instructors thing equations From Umberto Noe on January 6th, 2021 0 likes 190 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created January 6th, 2021
48:25 Likely instabilities in liquid crystal elastomers… Likely instabilities in liquid crystal elastomers - Angela Mihai	Likely instabilities in liquid crystal elastomers - Angela Mihai Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles… mathematics deformation stress material crystal rubber model behaviour load probability mu parameters gradient function direction elastomers director parameter striping elasticity variance From GILLIAN KERR on December 18th, 2020 0 likes 39 plays 0 Licence Type All rights reserved Language english Date Created December 18th, 2020
15:34 USMR lecture 10 part 1 USMR lecture 10 part 1	USMR lecture 10 part 1 ANOVA vs GLM usmr psychology ppls statistics rstats model linear anova analysis things utility variance table bit reaction slide fact distribution times toy play regression lecture lots measures From Martin Corley on November 27th, 2020 0 likes 119 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 27th, 2020
15:30 USMR lecture 9 part 2 USMR lecture 9 part 2	USMR lecture 9 part 2 probability, odds, log odds usmr psychology ppls statistics rstats odds probability quality values competition hand observations side bin log infinity variance probabilty linear things bit outcome times assumption model From Martin Corley on November 15th, 2020 0 likes 154 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
26:59 Topic 65: Time Averages and Ergodicity (PETARS,… Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8)	Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8) This Topic introduces the notion of estimating statistical averages from a single realisation of a stochastic process. This concept is most easily developed for estimating first and second moments… pgee11164 average process ensemble variance ergodicity realisation infinity sense minus covariance function realisations chapter processes term samples sequence estimator sample estimation From James Hopgood on November 14th, 2020 0 likes 80 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 12th, 2020
18:08 Topic 62: Stationary and WSS processes (PETARS,… Topic 62: Stationary and WSS processes (PETARS, Chapter 8)	Topic 62: Stationary and WSS processes (PETARS, Chapter 8) This video starts by considering the common types and definitions of stationary processes used in time-series analysis. This topic then considers meanings and relationships of order-N, strict-sense… pgee11164 sense function process processes stationarity times definition pdf stationary autocorrelation variables variance n. auto n2 values samples properties correlation omega From James Hopgood on November 8th, 2020 0 likes 76 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 8th, 2020

Search for tag: "variance"

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