Analysis of variance
Tags: ANALYSIS of variance
Related Articles
- Variance stabilization: A direct yet robust method. Ridley, Denis // Review of Business;Summer/Fall93, Vol. 15 Issue 1, p28
Suggests a robust method for transforming a time series with changing variance into one with constant variance. Trial and error method; Normally distributed data; Method of forecasting; Correlation between forecast error and forecast origin; Effect of magnitude on forecasting error.
- Expected-utility-consistent mean-variance preference functions with perverse derivatives. Mitchell, Douglas W. // Atlantic Economic Journal;Mar1996, Vol. 24 Issue 1, p80
Describes an expected-utility-consistent mean-variance preference functions with perverse derivatives. Characterization of every gamble in family S by its mean and variance.
- Tests that are robust against variance heterogeneity in k x 2 designs with unequal cell frequencies. Overall, John E.; Atlas, Robert S.; Gibson, Janet M. // Psychological Reports;Jun95, Vol. 76 Issue 3, p1011
Emphasizes the inadequacy of conventional analysis of variance tests of significance in cases where both sample sizes and population differ. Bias in the conventional analysis of variance tests; Use of the Mantel-Haenszel procedure to control the effects of nuisance variables; Correlation...
- Comparing several groups using analysis of variance. Altman, Douglas G.; Bland, J. Martin // BMJ: British Medical Journal (International Edition);6/08/96, Vol. 312 Issue 7044, p1472
Part XX. Discusses the use of one way analysis of variance (ANOVA) for comparing three or more groups of subjects. Basis of the ANOVA the same as in the t test method; Division of variability of individual data values into components corresponding to within and between group variation;...
- Supplementing tests of statistical significance: Variation accounted for. Young, Martin A. // Journal of Speech & Hearing Research;Aug93, Vol. 36 Issue 4, p644
Focuses on measures of variation accounted for, eta squared and omega squared, as supplements to traditional tests of significance in analysis of variance (ANOVA) situations. Application of measures of variation accounted for; One-way repeated-measure design; Multiple-factor designs; Panagos and...
- Non-normal variation and regression to the mean. Chesher, A. // Statistical Methods in Medical Research;1997, Vol. 6 Issue 2, p147
Non-normal variation across repeated measurements leads to nonlinear and heteroskedastic regression to the mean unlike the simple linear and homoskedastic regression to the mean found in normal models. This paper investigates the nature of the regression to the mean phenomenon in non-normal...
- Phantom Harmonic Gradient Estimators for Nonpreemptive Priority Queueing Systems. V�zquez-Abad, Felisa J.; Jacobson, Sheldon H. // INFORMS Journal on Computing;Fall2001, Vol. 13 Issue 4, p345
Presents a gradient estimator for the steady-state expected sojourn time in a nonpreemptive priority queueing system. Use of the concept of a phantom system with the ideas in harmonic gradient estimator; Development of the phantom harmonic gradient (PHG) estimator; Presentation of the upper...
- An Index Number Theory of Accounting Cost Variances PROFESSIONAL ADAPTATION. // Journal of Accounting, Auditing & Finance;Spring88, Vol. 3 Issue 2, p109
Analyzes the relationship between conventional cost variances and economic efficiency indices. Measurement of ex-post efficiency in economics; Problems with the use of variances; Methods for cost variance analysis.
- A MULTIMETHOD APPROACH TO VALIDATING MULTI-ATTRIBUTE ATTITUDE MODELS. Bettman, James R.; Capon, Noel; Lutz, Richard J. // Advances in Consumer Research;1975, Vol. 2 Issue 1, p357
The strengths and weaknesses of correlational and analysis of variance (ANOVA) approaches to validating multi-attribute attitude models are discussed. The approaches are then applied to the Fishbein and adequacy-importance models, and an adequacy-evaluation model developed from earlier findings....
