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LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.nnFebruary 12, 2013nRegression Analysis Using JMPnInstructor: Yiming PengnnThis short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable

LISA Short Course: Regression Analysis Using JMP

⏲ 50 min 60 sec ✓ 26-Feb-2013

LEARN u0026 APPLY : Lean and Six Sigma

Correlation and Regression Analysis: Learn Everything With Examples

⏲ 9 minutes 50 seconds 👁 738.3K

Zoran Horvat

What is Covariance and Contravariance in C#: A Complete Overview

⏲ 11 minutes 58 seconds 👁 9.3K

Bengt MuthénnUCLAn03/21/2017nn*** For additional Mplus resources, please visit https://www.statmodel.com/ ***nnMplus Version 8 features new methods for analyzing intensive longitudinal data such as that obtained with ecological momentary assessments, experience sampling methods, daily diary methods, and ambulatory assessments. Typically, such data have a large number of time points, T = 20-150, and may come from a single case (e.g., person or dyad), or multiple cases.In this first of a series o

PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 2

⏲ 51 min 18 sec ✓ 09-Aug-2017

MIT OpenCourseWare

Lecture 9: Path Integral Formalism for QFT; Computation of Time-Ordered Correlation Functions

⏲ 1 hour 19 minutes 48 seconds 👁 2K

Miranda Lam

MBA FIN11 3 MPT - Covariance and Correlation Coefficient (updated)

⏲ 13 minutes 59 seconds 👁 11.4K

Bengt Muthén, Ph.D.nUCLAn03/28/2017nn*** For additional Mplus resources, please visit https://www.statmodel.com/ ***nnMplus Version 8 features new methods for analyzing intensive longitudinal data such as that obtained with ecological momentary assessments, experience sampling methods, daily diary methods, and ambulatory assessments. Typically, such data have a large number of time points, T = 20-150, and may come from a single case (e.g., person or dyad), or multiple cases.In this first of a s

PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 3

⏲ 55 min 25 sec ✓ 19-Aug-2017

DATAtab

Cohen's Kappa (Inter-Rater-Reliability)

⏲ 11 minutes 5 seconds 👁 22.2K

George Ingersoll

Stats 35 Multiple Regression

⏲ 32 minutes 24 seconds 👁 168.3K

Tihomir Asparouhovn04/11/2017nn*** For additional Mplus resources, please visit https://www.statmodel.com/ ***nnMplus Version 8 features new methods for analyzing intensive longitudinal data such as that obtained with ecological momentary assessments, experience sampling methods, daily diary methods, and ambulatory assessments. Typically, such data have a large number of time points, T = 20-150, and may come from a single case (e.g., person or dyad), or multiple cases.In this first of a series o

PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 4

⏲ 52 min 37 sec ✓ 09-Aug-2017

Ben Lambert

Covariance and correlation

⏲ 5 minutes 56 seconds 👁 330.8K

NannyML

What is Covariate Shift? | Data Science Fundamentals

⏲ 3 minutes 4 seconds 👁 589

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