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  • portfolios
  • With Dantzig's help, Markowitz continued to research optimization techniques, further developing the critical line algorithm for the identification of the optimal mean-variance portfolios, relying on what was later named the Markowitz frontier. (wikipedia.org)
  • components
  • In a mixed-design, you are taking repeated measures from the same participants and therefore the sum of squares can be broken down even further into three components: SSwithin-subjects (variance due to being in different repeated measure conditions), SSerror (other variance), and SSBT*WT (variance of interaction of between-subjects by within-subjects conditions). (wikipedia.org)
  • measures
  • Discriminant function analysis Repeated measures design Canonical correlation analysis Warne, R. T. (2014). (wikipedia.org)
  • Variance-based measures of sensitivity are attractive because they measure sensitivity across the whole input space (i.e. it is a global method), they can deal with nonlinear responses, and they can measure the effect of interactions in non-additive systems. (wikipedia.org)
  • mean
  • A successful grouping will split dogs such that (a) each group has a low variance of dog weights (meaning the group is relatively homogeneous) and (b) the mean of each group is distinct (if two groups have the same mean, then it isn't reasonable to conclude that the groups are, in fact, separate in any meaningful way). (wikipedia.org)
  • Computes a confidence interval on a variance component estimated as proportional to the difference in two mean squares in a balanced complete experimental design. (roguewave.com)
  • We use mean-variance analysis to demonstrate the importance of a hitherto neglected benefit of enticing MNEs to locate in small and medium-sized countries. (repec.org)
  • Mean-variance analysis redirects here. (wikipedia.org)
  • For mean-variance portfolio theory, see Modern portfolio theory or Mutual fund separation theorem. (wikipedia.org)
  • these employ mean-variance analysis, and focus on the mean and variance of a portfolio's final value. (wikipedia.org)
  • formal
  • Ronald Fisher introduced the term variance and proposed its formal analysis in a 1918 article The Correlation Between Relatives on the Supposition of Mendelian Inheritance. (wikipedia.org)
  • data
  • Now that the data is all properly stored in a data frame, we are ready to begin the analysis. (wisc.edu)
  • Any analysis should begin with a graphical exploration of the data. (wisc.edu)
  • Brandon D. Gallas, Gene A. Pennello, and Kyle J. Myers, "Multireader multicase variance analysis for binary data," J. Opt. (osapublishing.org)
  • We extend MRMC variance analysis to binary data and also to generic study designs in which every reader may not interpret every case. (osapublishing.org)
  • He explains how to organize and present data and how to draw conclusions using Excel's functions, charts, and 3D maps and the Solver and Analysis ToolPak add-ons. (lynda.com)
  • If data are ordinal, a non-parametric alternative to this test should be used such as Kruskal-Wallis one-way analysis of variance. (wikipedia.org)
  • One should actually run the analysis, including how you might get the data, sampling issues, etc. (brainmass.com)
  • Compute eta2, the percentage of variance explained by the group differences, for these data. (brainmass.com)
  • Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data" (Free full text). (wikipedia.org)
  • ANORVA is based on the premise that the variance in groups of data from rhythmic variables is low when a time distance of one period exists between the data entries. (wikipedia.org)
  • It consists of focus and analysis of statistically relevant anomalies in the data. (wikipedia.org)
  • Analysis of Messy Data. (wikipedia.org)
  • This involves thinking about the nature and quality of the data and, where the data came from, choosing appropriate analyses and models, and interpreting the results in the context of the problem and given the constraints of the data. (wikipedia.org)
  • test
  • Offer a variance report and an exam question for the student to "self test" if they comprehend the material discussed. (brainmass.com)
  • If the variances are not known to be equal, a generalization of 2-sample Welch's t-test can be used. (wikipedia.org)
  • He showed that under the usual departures (positive skew, unequal variances) "the F-test is conservative" so is less likely than it should be to find that a variable is significant. (wikipedia.org)
  • Calculations of the means and the variance are performed as part of the hypothesis test. (wikipedia.org)
  • B. Feng and X. Zhang, "Study on t-test, analysis of variance and multiple comparisons," Journal of Taiyuan Normal University (Natural Science Edition) , vol. 11, no. 4, pp. 46-49, 2012. (hindawi.com)
  • Since it is a non-parametric method, the Kruskal-Wallis test does not assume a normal distribution of the residuals, unlike the analogous one-way analysis of variance. (wikipedia.org)
  • Therefore, a researcher might use sample contrasts between individual sample pairs, or post hoc tests using Dunn's test, which (1) properly employs the same rankings as the Kruskal-Wallis test, and (2) properly employs the pooled variance implied by the null hypothesis of the Kruskal-Wallis test in order to determine which of the sample pairs are significantly different. (wikipedia.org)
  • Theory
  • While researching the then current understanding of stock prices, which at the time consisted in the present value model of John Burr Williams, Markowitz realized that the theory lacks an analysis of the impact of risk. (wikipedia.org)
  • model
  • For example, given a model with two inputs and one output, one might find that 70% of the output variance is caused by the variance in the first input, 20% by the variance in the second, and 10% due to interactions between the two. (wikipedia.org)
  • Company
  • The company that would become CACI International was founded by Herb Karr and Harry Markowitz on July 17, 1962 as California Analysis Center, Inc. They helped develop SIMSCRIPT, the first simulation programming language, at RAND and after it was released to the public domain, CACI was founded to provide support and training for SIMSCRIPT. (wikipedia.org)
  • results
  • What is the general rule about when violations of the equal variance assumption are likely to lead to serious inaccuracies in results? (brainmass.com)
  • Variance results from cost or price changes and from volume changes. (chron.com)