The Beneish model is a statistical model that uses financial ratios calculated with accounting data of a specific company in order to check if it is likely (high probability) that the reported earnings of the company have been manipulated. (Wikipedia).
Computing z-scores(standard scores) and comparing them
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From playlist Statistics
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From playlist Statistics
Limit of sin(7x)/sin(3x) as x Approaches Zero
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From playlist Calculus 1 Exam 1 Playlist
GCSE Maths: N7h-20 A Summary of Index Laws Part 2
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From playlist GCSE Maths: N7
Finding the z-score of x with the formula
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From playlist Statistics
GCSE Maths: N2-02 [Multiplying by Powers of 10]
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From playlist GCSE Maths: N2
Example of Calculating Z Score, statistics, GCSE, GSCE Entire Playlist on How to Calculate and Understand Z scores http://www.youtube.com/playlist?list=PL6157D8E20C151497 How to Read Normalized Table http://www.youtube.com/watch?v=dWu0KLXuEpA Like MyBookSucks on: http://www.facebook.co
From playlist z scores
Calculus1 Evaluating Limts Analytically b14p3
Calculus1 Evaluating Limts Analytically b14p3 Gotmath.com
From playlist Calculus 1 GoToMath.com
GCSE Maths: N6h-26 Examples of Estimating x when a^x = b
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From playlist GCSE Maths: N6
08b Machine Learning: Principal Component Analysis
Lecture of principal component analysis for dimensionality reduction and general inference, learning about the structures in our subsurface data. Follow along with the demonstration workflow in Python's scikit-learn package: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/
From playlist Machine Learning
R - Mediation Analyses with the multilevel package
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2018 This video replaces a previous live in-class video. You will learn how to do mediation analyses in regression. First, we start with power in G*Power, work through data screening, and then analyze the stages of mediation
From playlist Learn and Use G*Power
R - Moderation Analyses using QuantPsyc
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2018 This video replaces a previous live in-class video. You will learn how to do moderation (interaction) analyses in regression. First, we start with power in G*Power, work through data screening, and then analyze the simp
From playlist Learn and Use G*Power
SPSS - Moderated Mediation with PROCESS (Model 7)
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 Lecture materials and assignment available at statisticsofdoom.com. https://statisticsofdoom.com/page/advanced-statistics/ This video covers moderated mediation (model 7) using Hayes' Process plug in for SPSS - include
From playlist Advanced Statistics Videos
SPSS - Mediation Analysis with PROCESS
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2015 Mediation analysis video covering model 4 in the process plug in (Hayes, 2013). Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/advanced-statistics/
From playlist PSY 527/627 (SPSS) Advanced Statistics with Dr. B
Measurement Error & Deviation Scores (5-7)
When we seek to organize our jumbled data, once we have determined a measure of central tendency, we next want to know how close together or spread-out the scores are. The concept of “close together vs. spread out” is called variability. Beginning with the concept that our mean is a model,
From playlist WK5 Measures of Central Tendency (Mean, Median, Mode) - Online Statistics for the Flipped Classroom
Pablo Azar Massachusetts Institute of Technology April 2, 2012 We study a new type of proof system, where an unbounded prover and a polynomial time verifier interact, on inputs a string xx and a function ff, so that the Verifier may learn f(x)f(x). The novelty of our setting is that there
From playlist Mathematics
Ex: Find a Score Needed for a Specific Average
This video provides an example of how to determine a needed test score to have a specific average of 5 tests. Search Complete Library at http://www.mathispower4u.wordpress.com
From playlist Mean, Median, and Mode