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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 41 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives
33:20 Statistics in COVID-19: Simon Wood (School of… Statistics in COVID-19: Simon Wood (School of Mathematics, University of Edinburgh)	Statistics in COVID-19: Simon Wood (School of Mathematics, University of Edinburgh) Simon Wood (School of Mathematics, University of Edinburgh): Does the data know it should follow the science? When was R<1 and incidence in decline? The CfS Research Day gathered together experts… statistics covid-19 model infection lockdown thing bit hospital function likelihood infections distribution death incidence assumption lock deaths incidents log analysis smoothness things From Belle Taylor on March 1st, 2021 0 likes 5 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created March 1st, 2021
49:06 UK-APASI in Mathematical Sciences: Julien Arino… UK-APASI in Mathematical Sciences: Julien Arino (Lecture 1)	UK-APASI in Mathematical Sciences: Julien Arino (Lecture 1) Subtitles will be added soon. Monday 22 February 2021 UK-APASI in Mathematical Sciences Julien Arino - Assessing the risk of COVID-19 importation and the effect of quarantine quarantine model disease importation individuals cases population canada rate infection compartments efficacy lambda location spread beta ode graph point distribution From Liam Holligan on February 22nd, 2021 0 likes 27 plays 0 Course Code icms Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 22nd, 2021
14:47 HadGEM3-A-N216 introduction HadGEM3-A-N216 introduction	HadGEM3-A-N216 introduction Introduction to the HadGEM3-A-N216 model for the EERCH virtual workshop, March 2021 event attribution simulations distribution events change climate probability observations event idea model paper surface sea forcings rainfall threshold question workshop temperatures thing From Simon Tett on February 16th, 2021 0 likes 21 plays 0 Publisher Fraser Lott Licence Type All rights reserved Language English Date Created February 16th, 2021
18:08 Dong_part3 Dong_part3	Dong_part3 Part 3 (of 3) of talk showing some examples of event attribution. Talk developed for virtual workshop in Event Attribution for early career China-based researchers. event attribution precipitation presentation probability simulations simulation pdf ratio distribution period china risk model climatology increase event heat workshop wind stimulation pressure From Simon Tett on February 16th, 2021 0 likes 8 plays 0 Publisher Buwen Dong Licence Type All rights reserved Language English Date Created February 16th, 2021
08:46 dapr1 - making decisions (d) dapr1 - making decisions (d)	dapr1 - making decisions (d) Part D uoepsy size effect distribution hypothesis sample significance centre distance statistics power statistic parameter values alternative week bye evidence times spread lecture From Umberto Noe on February 8th, 2021 0 likes 206 plays 0 Licence Type All rights reserved The University of Edinburgh
11:54 dapr1 - making decisions (c) dapr1 - making decisions (c)	dapr1 - making decisions (c) Part C uoepsy sample distribution hypothesis body values degrees curve temperature deviation celsius humans significance difference alpha proportion density error standard evidence temp From Umberto Noe on February 7th, 2021 0 likes 230 plays 0 Licence Type All rights reserved The University of Edinburgh
12:37 dapr1 - making decisions (b) dapr1 - making decisions (b)	dapr1 - making decisions (b) Part B uoepsy patient glucose test diabetes error probability illness blood power negatives level levels positives distribution fact hypothesis point cutoff litre mole From Umberto Noe on February 7th, 2021 0 likes 236 plays 0 Licence Type All rights reserved The University of Edinburgh
39:45 dapr1 - making decisions (a) dapr1 - making decisions (a)	dapr1 - making decisions (a) Part A uoepsy hypothesis error probability distribution sample power alpha significance statistic errors level size statistics decision values event fact court chance defendant From Umberto Noe on February 7th, 2021 0 likes 307 plays 0 Licence Type All rights reserved The University of Edinburgh
52:44 Agnieszka Borowska (Glasgow): Gaussian process… Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis	Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is… statistics research parameters cell parameter abc regression features estimates model outputs points element point membrane process simulator step cases nodes instance distribution From OLLIE Quinn on February 4th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created January 29th, 2021
10:31 dapr1 - hypothesis testing and CIs (c) dapr1 - hypothesis testing and CIs (c)	dapr1 - hypothesis testing and CIs (c) Part C uoepsy sample population treatment difference means outcome unit hypothesis values distribution leniency interest bootstrap students groups effect study units variable times b. From Umberto Noe on January 31st, 2021 0 likes 197 plays 0 Licence Type All rights reserved The University of Edinburgh
24:24 dapr1 - hypothesis testing and CIs (b) dapr1 - hypothesis testing and CIs (b)	dapr1 - hypothesis testing and CIs (b) Part B uoepsy distribution hypothesis difference population interval confidence bootstrap values means sample parameter statistic range probability test evidence statistics region hours rejection From Umberto Noe on January 31st, 2021 0 likes 207 plays 0 Licence Type All rights reserved The University of Edinburgh
12:13 FDS-S2-03-1-1 principle of A/B testing FDS-S2-03-1-1 principle of A/B testing	FDS-S2-03-1-1 principle of A/B testing We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap. inf2-fds b. testing button minus times distribution a. bootstrap hat estimate parameters proportion difference estimators confidence method result chance estimates star From David Sterratt on January 28th, 2021 0 likes 162 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
01:06:32 Lecture 5 - Pharmacokinetics 1 Drug absorption… Lecture 5 - Pharmacokinetics 1 Drug absorption and drug distribution - Dr Phil Larkman	Lecture 5 - Pharmacokinetics 1 Drug absorption and drug distribution - Dr Phil Larkman Biological and quantitative review of absorption and distribution of drugs in the body. drug drugs blood body distribution absorption water cells volume solubility route compartments equation delivery concentration ph tissues routes litres effect From Philip Larkman on January 25th, 2021 0 likes 26 plays 0 Licence Type Creative Commons - Attribution
13:26 dapr1 - hypothesis testing: critical values (e) dapr1 - hypothesis testing: critical values (e)	dapr1 - hypothesis testing: critical values (e) Part E uoepsy distribution sample score error deviation standard hypothesis approach units values errors minus column quantiles root bar sigma exercises quanta denominator From Umberto Noe on January 24th, 2021 0 likes 221 plays 0 Licence Type All rights reserved The University of Edinburgh
09:00 dapr1 - hypothesis testing: critical values (d) dapr1 - hypothesis testing: critical values (d)	dapr1 - hypothesis testing: critical values (d) Part D uoepsy hypothesis sample left quantiles statistic probability distribution evidence region quantile rejection resampling slide minus values percentile population favour tails alternative From Umberto Noe on January 24th, 2021 0 likes 265 plays 0 Licence Type All rights reserved The University of Edinburgh

Search for tag: "distribution"

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