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LISA Short Course: Regression Analysis Using JMP
⏲ 50 min 60 sec ✓ 26-Feb-2013
Correlation and Regression Analysis: Learn Everything With Examples
⏲ 9 minutes 50 seconds 👁 738.3K
What is Covariance and Contravariance in C#: A Complete Overview
⏲ 11 minutes 58 seconds 👁 9.3K
PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 2
⏲ 51 min 18 sec ✓ 09-Aug-2017
Lecture 9: Path Integral Formalism for QFT; Computation of Time-Ordered Correlation Functions
⏲ 1 hour 19 minutes 48 seconds 👁 2K
MBA FIN11 3 MPT - Covariance and Correlation Coefficient (updated)
⏲ 13 minutes 59 seconds 👁 11.4K
PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 3
⏲ 55 min 25 sec ✓ 19-Aug-2017
Cohen's Kappa (Inter-Rater-Reliability)
⏲ 11 minutes 5 seconds 👁 22.2K
Stats 35 Multiple Regression
⏲ 32 minutes 24 seconds 👁 168.3K
PSMG: Dynamic structural equation modeling of intensive longitudinal data using Mplus version 8: Part 4
⏲ 52 min 37 sec ✓ 09-Aug-2017
Covariance and correlation
⏲ 5 minutes 56 seconds 👁 330.8K
What is Covariate Shift? | Data Science Fundamentals
⏲ 3 minutes 4 seconds 👁 589
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_lisa-short-course-regression-analysis-using-jmp.webp "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")
_correlation-and-regression-analysis-learn-everything-with-examples.webp "LEARN u0026 APPLY : Lean and Six Sigma")
_what-is-covariance-and-contravariance-in-c-a-complete-overview.webp "Zoran Horvat")
_psmg-dynamic-structural-equation-modeling-of-intensive-longitudinal-data-using-mplus-version-8-part-2.webp "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")
_lecture-9-path-integral-formalism-for-qft-computation-of-time-ordered-correlation-functions.webp "MIT OpenCourseWare")
_mba-fin11-3-mpt-covariance-and-correlation-coefficient-updated.webp "Miranda Lam")
_psmg-dynamic-structural-equation-modeling-of-intensive-longitudinal-data-using-mplus-version-8-part-3.webp "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")
_cohen39s-kappa-inter-rater-reliability.webp "DATAtab")
_stats-35-multiple-regression.webp "George Ingersoll")
_psmg-dynamic-structural-equation-modeling-of-intensive-longitudinal-data-using-mplus-version-8-part-4.webp "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")
_covariance-and-correlation.webp "Ben Lambert")
_what-is-covariate-shift-124-data-science-fundamentals.webp "NannyML")
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