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Consciousness-Based Education - Maharishi University of ...

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consciousness-based education and GovernmentGorbachev variable was smaller but remained significant 31.620(t = 3.37, p = .0008). For the binary World Peace Assembly variable,the three intervention parameters at lags zero (15.392, t =2.28, p = .011), two (23.385, t = 3.37, p = .0004), and four (18.670,t = 2.81, p = .0025) had the predicted positive sign, and all were individuallysignificant. These three parameters also continued to be jointlysignificant (λ = 17.5747, d.f. = 3, p = .0005). The steady state gain forthe Assemblies was 57.446, equivalent to 1.54 standard deviations <strong>of</strong>USSR t. The parameter estimate at lag one for the variable measuringUS actions was larger, 0.252, and highly significant (t = 5.45, p = 5 x10 -8 ). All residual diagnostics for the model were satisfactory.ReferencesAkaike, H. (1974). A New Look at the Statistical Model Identification.IEEE Transactions on Automatic Control AC-19: 716–23.Andrew, C., and O. Gordievsky (1990). KGB: The Inside Story. NewYork: Harper-Collins.Arbatov, G.A. (1981). Der Sowjetische Standpunkt. Über die Westpolitikder U.S.S.R. Münich: Rogner and Bernard.Azar, E.E. (1982). Conflict and Peace Data Bank (COPDAB): A Computer-assistedApproach to Monitoring and Analyzing Internationaland Domestic Conflicts. College Park, MD: Center for InternationalDevelopment and Conflict Management, <strong>University</strong> <strong>of</strong>Maryland.Box, G.E.P., and G.C. Tiao (1975). Intervention Analysis with Applicationsto Economic and Environmental Problems. Journal <strong>of</strong> theAmerican Statistical Association 70: 70–79.Box, G.E.P., and G.M. Jenkins (1976). Time Series Analysis: Forecastingand Control (rev. ed.). San Francisco: Holden-Day.Brockwell, P.J., and R.A. Davis (1987). Time Series Analysis: Theory andMethods. New York: Springer-Verlag.Bundy, M. (1990). From Cold War to Trusting Peace. Foreign Affairs 69:197–212.Chang, I., G.C. Tiao, and C. Chen (1988). Estimation <strong>of</strong> TimeSeries Parameters in the Presence <strong>of</strong> Outliers. Technometrica30: 193–204.490

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