Multivariate statistics | Statistical models

Reification (statistics)

In statistics, reification is the use of an idealized model of a statistical process. The model is then used to make inferences connecting model results, which imperfectly represent the actual process, with experimental observations. Also, a process whereby model-derived quantities such as principal components, factors and latent variables are identified, named and treated as if they were directly measurable quantities. (Wikipedia).

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This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/

From playlist Statistics: Describing Data

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The Mathematics of Population Growth Using Linear Models

Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.

From playlist Discrete Math

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In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

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From playlist Statistics (Full Length Videos)

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From playlist Data Analytics and Geostatistics

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Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics

From playlist Statistics

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Incident Reviews in Software have a tendency to rely on seemingly satisfying yet shallow and misleading oversimplifications, hiding from us that what we think is ‘the meat of it’ is rather an empty bite. Resilience Engineering warns us about boiling down complex situations to simple expla

From playlist REdeploy 2019

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September 5, 2007 presentation by Ralph Horwitz for the Stanford School of Medicine Medcast lecture series. Ralph Horwitz, MD, professor of medicine at Stanford discusses how measurement can both strengthen and weaken clinical science and care. Often overlooked amid today's enthusiasm

From playlist Feature | Medcast

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In the second of two videos, Professor Matt Salganik of Princeton University discusses ethical issues in the field of Computational Social Science. Link to slides used in this video: https://github.com/compsocialscience/summer-institute/blob/master/2020/materials/day1-intro-ethics/ethics_p

From playlist SICSS 2020

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From playlist STATISTICS CH 1 INTRODUCTION

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From playlist Strata Rx

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From playlist STATISTICS CH 1 INTRODUCTION

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From playlist Foundations of Modern Social Theory with Iván Szelényi

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Presented by Bill Sherman. 2018-2019 Scientific Visualization Workshop at Indiana University. Filmed Aug 29, 2018. This workshop series highlights a variety of topics related to scientific visualization. Principles of perception, along with techniques and tools for creating visualizatio

From playlist Scientific Visualization Workshop Series

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Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com

From playlist Intro to Data Science

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From playlist COVARIANCE AND VARIANCE

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Statistical inference | Statistics | Factor analysis