Search for tag: "equals"
Data Tutorial: Calculating growth rates for cattle, pigs, and small ruminantsby Cynthia Naydani | The Power of Data in Farm Animal Practice Timestamps 0:00 - Recap 0:30 - Why calculate growth rates? 1:20 - Calculating daily live weight gain using…
From Chris Smith
0 likes
103 plays
0
|
|
HealthyR demo: Create table oneData and code at: https://github.com/SurgicalInformatics/healthyr_demos
From Sarah Elliot
0 likes
72 plays
0
|
|
HealthyR demo: Reproducible examples (reprex)Data and code at: https://github.com/SurgicalInformatics/healthyr_demos
From Riinu Pius
0 likes
83 plays
0
|
|
HealthyR demo: geom_bar() vs geom_col()Data and code at: https://github.com/SurgicalInformatics/healthyr_demos
From Riinu Pius
0 likes
84 plays
0
|
|
Causal Inference: Johannes BuckThis talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Johannes Buck Talk Title: Properties and Consistency of QTree in Max-Linear Models…
From Belle Taylor
0 likes
21 plays
0
|
|
Univariate Tail Estimation: Jonathan El MethniThis talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Jonathan El Methni Talk Title: A bias-reduced version of the Weissman extreme…
From Belle Taylor
0 likes
32 plays
0
|
|
Jonathan El Methni EVA Talk PreviewThis talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jonathan El Methni Talk Title: A bias-reduced version of the Weissman extreme quantile estimator Abstract:…
From Anna Munro
0 likes
31 plays
0
|
|
11.bThe second video of the Inf2d lecture on Unification.
From Claudia-Elena Chirita
0 likes
197 plays
0
|
|
FDS-S2-01-2-5 Maximum likelihood estimation of logistic regression coefficientsWe 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…
From David Sterratt
0 likes
342 plays
0
|
|
FDS-S1-11-2-3 Estimating the confidence interval of means of large samplesWe'll derive confidence intervals for the mean of large samples, when we can assume the sampling distribution of the mean is normal.
From David Sterratt
0 likes
363 plays
0
|
|
Topic 4: Mathematical Prerequisites for the SNADA course (SNADA, Chapter 1)This topic motivates the need for using mathematical analysis in this course on sensor network and data analysis course, emphasising that relying on pre-existing software solution is…
From James Hopgood
0 likes
350 plays
0
|
|
The Terry Wall Lecture 2020: Professor Claire Voisin, Collège de FranceSubtitles have been automatically addeded to this lecture, to turn off please select "cc". Professor Claire Voisin, Collège de France - Quadratic Extensions: Algebra and Geometry …
From Liam Holligan
0 likes
43 plays
0
|
|
FP - Lecture 3 - Lists and RecursionThis is the video of the third FP lecture, covering Lists and Recursion.
From Claudia-Elena Chirita
0 likes
878 plays
0
|
|
Lecture 3 Part 3: But there's no solution...What happens when the method in the first part of the lecture fails. We look at why and find a way of dealing with the problem.
From David Ingram
0 likes
130 plays
0
|
|
Lecture 2 Part 2: Boundary ConditionsIn the second part of this lecture we look at a the use of boundary conditions expressed as both initial value and boundary value problems to find the unknown coefficients in the general solution and…
From David Ingram
0 likes
155 plays
0
|
|