Define dependant variable and independent variable. Give an example of each. What are the dependent and independent variables in an experiment? What variables should you measure in an experiment? Independent or dependent variables? What are independent and dependent variables? Provide an ex...
+ flatness condition is larger than in any of the disparity + flatness or motion + flatness conditions because, when both depth cues are present, the MAP estimate is affected by the likelihood function of the flatness cues in a smaller measure than when only a single depth-cue is present. ...
There is no easy solution to the problem.The issue is that we want to measure student mastery,reflected in knowledge gains and performance changes,and we know that this outcome is only reached if students study.And the amount they study will be dependent on the curriculum they find themselves...
We measure q-ratio as a log of [Market value of equity – book value of equity + book value of total assets]/book value of total assets. Sales Growth (SG): We also use sales growth as an additional covariate to control investment opportunities not captured by the q-ratio (Cleary, ...
We use the method of maximum likelihood to estimate the parameters of the utility function and the opportunity measure, which means that parameters are chosen such that the probability of the observed choices that households make is maximized. In the estimation sample, we thus need exact information...
Part I: Measure- and integral-theoretic groundwork; Part II: Conditional possibility; Part III: Possibilistic independence, Int. J. Gen. Syst. 25, 291–371 (1997) Article MATH Google Scholar L.M. De Campos, J.F. Huete: Independence concepts in possibility theory, Fuzzy Set. Syst. 103,...
What is the distinction between the terms "experimental set-up" and "control set-up" in biology? When measuring a horse, where do you begin and where do you end? What is the measurement called? Why is quorum sensing a great method of gene regulation? How do we measure concent...
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First, Kendall’s Coefficient of Concordance, or Kendall’s W could be used to measure rank agreement. This statistic compares the sum of squared error (SSE) of the observed rank totals to the SSE of the expected rank totals (Field, 2005). Kendall’s W is bounded between 0, denoting no...
First, do we have a stable and validated dimensional structure based on sound theoretical grounds? Second, what indicators should we choose for each dimension? And can we use an aggregate measure across all dimension, or should we keep the separate informational value of each score, indicator or...