Statistical Inference

2 ALUMNOS MATRICULADOS
  • Imagen de perfil de felix lope de vega
  • Imagen de perfil de Jorgechus
¡Compártelo! Share on Facebook0Share on LinkedIn0Share on Google+0Tweet about this on Twitter


Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.

Syllabus

Week 1: Probability & Expected Values
This week, we’ll focus on the fundamentals including probability, random variables, expectations and more.

Week 2: Variability, Distribution, & Asymptotics
We’re going to tackle variability, distributions, limits, and confidence intervals.

Week: Intervals, Testing, & Pvalues
We will be taking a look at intervals, testing, and pvalues in this lesson.

Week 4: Power, Bootstrapping, & Permutation Tests
We will begin looking into power, bootstrapping, and permutation tests.

Opiniones del Curso

N.A.

ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No se han encontrado opiniones para este curso

COMUNIDAD MOOC IR AL CURSO

*Irás a la plataforma donde se impartirá el mooc y donde podrás registrarte

  • GRATIS
  • 25-09-2017FECHA INICIO
  • Johns Hopkins University
  • Brian Caffo

Acerca de Mooc.es

En Mooc.es encontrarás la mayor oferta de cursos de las mejores universidades del mundo.

El conocimiento al alcance de todos.

¡Compártelo!

Share on Facebook0Share on LinkedIn0Share on Google+0Tweet about this on Twitter