Media Summary: Introduces the concept of linear models and outlines the basic steps for data analysis: hypothesis generation, exploratory analysis ... Introduces the what a model is, what a statistical model is, and why we model. Goes over a very simple model, Y=a, and briefly ... Talks through the basics of exploratory data analysis for linear models, with an emphasis on scatter plots and correlations.

Ee375 Lecture 09b Intro To - Detailed Analysis & Overview

Introduces the concept of linear models and outlines the basic steps for data analysis: hypothesis generation, exploratory analysis ... Introduces the what a model is, what a statistical model is, and why we model. Goes over a very simple model, Y=a, and briefly ... Talks through the basics of exploratory data analysis for linear models, with an emphasis on scatter plots and correlations. Goes over the basic arithmetic operations that computers use and how to use named variables to store and access data. Focuses ... Continues our example of analyzing soil temperature models by discussing what predictors were selected for inclusion in multiple ... Introduces our model assessment unit, and our focus on land surface models as an example, and discusses the first step in model ...

This video introduces the concept of `for` loops and their R syntax.

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EE375 Lecture 09b: Intro to Linear Models & steps of model fitting
EE375 Lecture 09a: Intro to Statistical Models
EE375 Lecture 1a - Welcome
EE375 Lecture 09c: Exploratory data analysis
EE375 Lecture 2b: Arithmetic and variables
EE375 Project E Intro
EE375 Lecture 09g: Building up more complex models
EE375 Lecture 1b: Content & Syllabus
EE375 Lecture 3b: Data Management - Assure, Describe, Preserve
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EE375 Lecture 10a: Model Assessment Intro
Lecture 9b
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EE375 Lecture 09b: Intro to Linear Models & steps of model fitting

EE375 Lecture 09b: Intro to Linear Models & steps of model fitting

Introduces the concept of linear models and outlines the basic steps for data analysis: hypothesis generation, exploratory analysis ...

EE375 Lecture 09a: Intro to Statistical Models

EE375 Lecture 09a: Intro to Statistical Models

Introduces the what a model is, what a statistical model is, and why we model. Goes over a very simple model, Y=a, and briefly ...

EE375 Lecture 1a - Welcome

EE375 Lecture 1a - Welcome

EE 375 Intro

EE375 Lecture 09c: Exploratory data analysis

EE375 Lecture 09c: Exploratory data analysis

Talks through the basics of exploratory data analysis for linear models, with an emphasis on scatter plots and correlations.

EE375 Lecture 2b: Arithmetic and variables

EE375 Lecture 2b: Arithmetic and variables

Goes over the basic arithmetic operations that computers use and how to use named variables to store and access data. Focuses ...

EE375 Project E Intro

EE375 Project E Intro

Timestamps 00:00 Start 01:20

EE375 Lecture 09g: Building up more complex models

EE375 Lecture 09g: Building up more complex models

Continues our example of analyzing soil temperature models by discussing what predictors were selected for inclusion in multiple ...

EE375 Lecture 1b: Content & Syllabus

EE375 Lecture 1b: Content & Syllabus

EE 375 Intro

EE375 Lecture 3b: Data Management - Assure, Describe, Preserve

EE375 Lecture 3b: Data Management - Assure, Describe, Preserve

In this series of

EM09

EM09

Dr. Ruth Chabay on

EE375 Lecture 10a: Model Assessment Intro

EE375 Lecture 10a: Model Assessment Intro

Introduces our model assessment unit, and our focus on land surface models as an example, and discusses the first step in model ...

Lecture 9b

Lecture 9b

Analyzing a Public Presentation.

EE375 Lecture 2e: Loops

EE375 Lecture 2e: Loops

This video introduces the concept of `for` loops and their R syntax.