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Articles 31 - 60 of 118
Full-Text Articles in Social and Behavioral Sciences
Regarding Lui K. J. (2006). Interval Estimation Of Risk Difference In Simple Compliance Randomized Trials. Jmasm, 5, 395-407., Ian R. White
Regarding Lui K. J. (2006). Interval Estimation Of Risk Difference In Simple Compliance Randomized Trials. Jmasm, 5, 395-407., Ian R. White
Journal of Modern Applied Statistical Methods
No abstract provided.
A Weighted Moving Average Process For Forcasting, Shou Hsing Shih, Chris P. Tsokos
A Weighted Moving Average Process For Forcasting, Shou Hsing Shih, Chris P. Tsokos
Journal of Modern Applied Statistical Methods
A forecasting model for a nonstationary stochastic realization is proposed based on modifying a given time series into a new k-time moving average time series. The study is based on the autoregressive integrated moving average process along with its analytical constrains. The analytical procedure of the proposed model is given. A stock XYZ selected from the Fortune 500 list of companies and its daily closing price constitute the time series. Both the classical and proposed forecasting models were developed and a comparison of the accuracy of their responses is given.
A Note On Probability Trees, W. J. Hurley
A Note On Probability Trees, W. J. Hurley
Journal of Modern Applied Statistical Methods
Not many introductory probability and statistics textbooks emphasize the use of probability trees to make complex probability calculations. This is puzzling in view of the power that trees bring to organizing such calculations for students. An effective classroom technique is discussed is this note.
2007 Vas Meeting Best Student Papers
2007 Vas Meeting Best Student Papers
Virginia Journal of Science
List of award winning student papers by section from the 85th Annual Meeting of the Virginia Academy of Science, May 24-26, 2007, James Madison University, Harrisonburg, VA
Abstracts Of Papers, 85th Annual Meeting Of The Virginia Academy Of Science, May 24-26, 2007, James Madison University, Harrisonburg Va
Virginia Journal of Science
Full abstracts of the 85th Annual Meeting of the Virginia Academy of Science, May 24-26, 2007, James Madison University, Harrisonburg VA
Oil. Seeking Peace In The Niger Delta: Oil, Natural Gas, And Other Vital Resources, Darren Kew, David L. Phillips
Oil. Seeking Peace In The Niger Delta: Oil, Natural Gas, And Other Vital Resources, Darren Kew, David L. Phillips
New England Journal of Public Policy
Nigeria’s oil-rich Niger Delta region has seen little benefit from the billions of dollars earned from oil over the last four decades, prompting a growing but disorganized insurgency across the region. Irresponsible oil companies and government officials have reduced the Niger Delta to one of the most polluted environments on earth. Corrupt local and national politicians, many of whom came to power through rigged elections, have colluded to manipulate ethnic divisions amid poverty to loot the region’s wealth. Consequently, the people of the Niger Delta have no formal political voice in Nigeria’s nascent democratic system, increasing the appeal of militias …
Oil. China And Oil In The Asian Pacific Region: Rising Demand For Oil, Pablo Bustelo
Oil. China And Oil In The Asian Pacific Region: Rising Demand For Oil, Pablo Bustelo
New England Journal of Public Policy
China’s growing demand for oil is significantly changing the international geopolitics of energy, especially in the Asian Pacific region. The recent growth in oil consumption, combined with forecasts of increased oil imports (especially from the Middle East), have led to deep concern among Chinese leaders regarding their country’s energy security. They are responding in a number of different ways. In particular, they are searching for new sources of supply and seeking to control purchases and transport lanes, while boosting national production at any cost. This is already causing tension with the United States and other big oil consumers, such as …
Fueling The Superpowers: Russia As A Player In World Energy, Theresa Sabonis-Helf
Fueling The Superpowers: Russia As A Player In World Energy, Theresa Sabonis-Helf
New England Journal of Public Policy
This article by Theresa Sabonis-Helf is taken from the proceedings of the EPIIC Symposium at Tufts University, February 2005
Oil. Geopolitics Reborn: Oil, Natural Gas, And Other Vital Resources, Michael T. Klare
Oil. Geopolitics Reborn: Oil, Natural Gas, And Other Vital Resources, Michael T. Klare
New England Journal of Public Policy
Competition over vital resources is a potent source of international friction among nations and within states. The result is the increasing interplay of international and internal struggles and the growing militarization of the global energy resource quest.
Fueling The Superpowers: Potential Hazard For U.S.-China Relations, Travis Tanner
Fueling The Superpowers: Potential Hazard For U.S.-China Relations, Travis Tanner
New England Journal of Public Policy
This article by Travis Tanner is taken from the proceedings of the EPIIC Symposium at Tufts University, February 2005
Fueling The Superpowers: What Role For Iran?, Hossein Askari
Fueling The Superpowers: What Role For Iran?, Hossein Askari
New England Journal of Public Policy
This article by Hossein Askari is taken from the proceedings of the EPIIC Symposium at Tufts University, February 2005
Water. The Geopolitics Of Water, Paul Michael Wihbey, Ilan Berman
Water. The Geopolitics Of Water, Paul Michael Wihbey, Ilan Berman
New England Journal of Public Policy
In the great geo-strategic game known as the Middle East, peace politics get much of the press and the attention of policy leaders. On occasion, oil takes center stage but often for the wrong reason (see, e.g., "The End of the Oil Era and the Price of Oil"). What is important to understand is that water is in fact the key strategic resource in the region and if you follow the flow of water, you'll follow the politics and policy machinations that lie at the heart of the Israeli-Syrian dialogue. IASPS Fellow in Strategy Paul Michael Wihbey co-authored an analysis …
Oil. Changing Geopolitics Of Oil In Asia & The Usa, Jay Hein, John Clark, Robert Ebel, Dong Hyung Cha, Richard Lotspeich
Oil. Changing Geopolitics Of Oil In Asia & The Usa, Jay Hein, John Clark, Robert Ebel, Dong Hyung Cha, Richard Lotspeich
New England Journal of Public Policy
One of the most important responsibilities the United States assumed following World War II was ensuring the stable flow of relatively inexpensive oil to the industrialized and industrializing countries of the world. A glance at a list of the top petroleum exporting countries shows that most of them are poor, have despotic governments, and experience frequent bouts of political instability and ideological extremism.
Oil. The Geopolitics Of Oil And Natural Gas, Alan Larson
Oil. The Geopolitics Of Oil And Natural Gas, Alan Larson
New England Journal of Public Policy
Ensuring the reliability of global energy supplies will call for policies that both encourage the use of newer, cleaner energy technologies and address the political challenges posed by the world’s growing demand for oil and natural gas. U.S. policy seeks to encourage expansion and diversification of world energy supplies and to promote the transparency and democratic institutions that help energy-producing countries make the most productive use of their resources.
Fueling The Superpowers: Nexus Of Foreign Policy And Energy Security, Jack Blum
Fueling The Superpowers: Nexus Of Foreign Policy And Energy Security, Jack Blum
New England Journal of Public Policy
This article talks about the oil history and the role government and international politics has played in it.
Effects Of Physical Activity On Psychological Change In Advanced Age: A Multivariate Meta-Analysis, Meng-Jia Wu, Betsy Jane Becker, Yael Netz
Effects Of Physical Activity On Psychological Change In Advanced Age: A Multivariate Meta-Analysis, Meng-Jia Wu, Betsy Jane Becker, Yael Netz
Journal of Modern Applied Statistical Methods
An example of multivariate meta-analysis is demonstrated by synthesizing the treatment effects of exercise of 15 groups on six mood state changes in elders measured by the Profile of Mood States (POMS) scale. Two different methods were used to analyze this multivariate dataset. The SAS codes for two set of the analyses were provided. Results showed that exercise has a modest and positive impact on elders mood change.
Analyses Of Unbalanced Groups-Versus-Individual Research Designs Using Three Alternative Approximate Degrees Of Freedom Tests: Test Development And Type I Error Rates, Stephanie Wehry, James Algina
Analyses Of Unbalanced Groups-Versus-Individual Research Designs Using Three Alternative Approximate Degrees Of Freedom Tests: Test Development And Type I Error Rates, Stephanie Wehry, James Algina
Journal of Modern Applied Statistical Methods
Three approximate degrees of freedom quasi-F tests of treatment effectiveness were developed for use in research designs when one treatment is individually delivered and the other is delivered to individuals nested in groups of unequal size. Imbalance in the data was studied from the prospective of subject attrition. The results indicated the test that best controls the Type I error rate depends on the number of groups in the group-administered treatment but does not depend on the subject attrition rates included in the study.
Type I Error Rates Of The Kenward-Roger Adjusted Degree Of Freedom F-Test For A Split-Plot Design With Missing Values, Miguel A. Padilla, James Algina
Type I Error Rates Of The Kenward-Roger Adjusted Degree Of Freedom F-Test For A Split-Plot Design With Missing Values, Miguel A. Padilla, James Algina
Journal of Modern Applied Statistical Methods
The Type I error rate of the Kenward-Roger (KR) test, implemented by PROC MIXED in SAS, was assessed through a simulation study for a one between- and one within-subjects factor split-plot design with ignorable missing values and covariance heterogeneity. The KR test controlled the Type I error well under all of the simulation factors, with all estimated Type I error rates between .040 and .075. The best control was for testing the between-subjects main effect (error rates between .041 and .057) and the worst control was for the between-by-within interaction (.040 to .075). The simulated factors had very small effects …
Application Of A New Procedure For Power Analysis And Comparison Of The Adjusted Univariate And Multivariate Tests In Repeated Measures Designs, Sean W. Mulvenon, M. Austin Betz, Kening Wang, Bruno D. Zumbo
Application Of A New Procedure For Power Analysis And Comparison Of The Adjusted Univariate And Multivariate Tests In Repeated Measures Designs, Sean W. Mulvenon, M. Austin Betz, Kening Wang, Bruno D. Zumbo
Journal of Modern Applied Statistical Methods
A relationship between the multivariate and univariate noncentrality parameters in repeated measures designs was developed for the purpose of assessing the relative power of the univariate and multivariate approaches. An application is provided examining the use of repeated measures designs to evaluate student achievement in a K-12 school system
Comparison Of The T Vs. Wilcoxon Signed-Rank Test For Likert Scale Data And Small Samples, Gary E. Meek, Ceyhun Ozgur, Kenneth Dunning
Comparison Of The T Vs. Wilcoxon Signed-Rank Test For Likert Scale Data And Small Samples, Gary E. Meek, Ceyhun Ozgur, Kenneth Dunning
Journal of Modern Applied Statistical Methods
The one sample t-test is compared with the Wilcoxon Signed-Rank test for identical data sets representing various Likert scales. An empirical approach is used with simulated data. Comparisons are based on observed error rates for 27,850 data sets. Recommendations are provided.
Another Look At The Confidence Intervals For The Noncentral T Distribution, Bruno Lecoutre
Another Look At The Confidence Intervals For The Noncentral T Distribution, Bruno Lecoutre
Journal of Modern Applied Statistical Methods
An alternative approach to the computation of confidence intervals for the noncentrality parameter of the Noncentral t distribution is proposed. It involves the percent points of a statistical distribution. This conceptual improvement renders the technical process for deriving the limits more comprehensible. Accurate approximations can be derived and easily used.
The Effects Of Heteroscedasticity On Tests Of Equivalence, Jamie A. Gruman, Robert A. Cribbie, Chantal A. Arpin-Cribbie
The Effects Of Heteroscedasticity On Tests Of Equivalence, Jamie A. Gruman, Robert A. Cribbie, Chantal A. Arpin-Cribbie
Journal of Modern Applied Statistical Methods
Tests of equivalence, which are designed to assess the similarity of group means, are becoming more popular, yet very little is known about the statistical properties of these tests. Monte Carlo methods are used to compare the test of equivalence proposed by Schuirmann with modified tests of equivalence that incorporate a heteroscedastic error term. It was found that the latter were more accurate than the Schuirmann test in detecting equivalence when sample sizes and variances were unequal.
Approximate Bayesian Confidence Intervals For The Mean Of An Exponential Distribution Versus Fisher Matrix Bounds Models, Vincent A. R. Camara
Approximate Bayesian Confidence Intervals For The Mean Of An Exponential Distribution Versus Fisher Matrix Bounds Models, Vincent A. R. Camara
Journal of Modern Applied Statistical Methods
The aim of this article is to obtain and compare confidence intervals for the mean of an exponential distribution. Considering respectively the square error and the Higgins-Tsokos loss functions, approximate Bayesian confidence intervals for parameters of exponential population are derived. Using exponential data, the obtained approximate Bayesian confidence intervals will then be compared to the ones obtained with Fisher Matrix bounds method. It is shown that the proposed approximate Bayesian approach relies only on the observations. The Fisher Matrix bounds method, that uses the z-table, does not always yield the best confidence intervals, and the proposed approach often performs better.
A Comparison Of Eight Shrinkage Formulas Under Extreme Conditions, David A. Walker
A Comparison Of Eight Shrinkage Formulas Under Extreme Conditions, David A. Walker
Journal of Modern Applied Statistical Methods
The performance of various shrinkage formulas for estimating the population squared multiple correlation coefficient (ρ2) were compared under extreme conditions often found in educational research with small sample sizes of 10, 15, 20, 25, 30 and regressor variates ranging from 2 to 4. A new formula for estimating ρ2, Adj R2 DW, was examined in terms of its performance under various conditions of N, p, ρ2, along with its bias properties and standard error estimates. The two shrinkage formulas that performed most consistently were the Claudy (Adj R2 C) and Walker (Adj R2 DW)
Better Binomial Confidence Intervals, James F. Reed Iii
Better Binomial Confidence Intervals, James F. Reed Iii
Journal of Modern Applied Statistical Methods
The construction of a confidence interval for a binomial parameter is a basic analysis in statistical inference. Most introductory statistics textbook authors present the binomial confidence interval based on the asymptotic normality of the sample proportion and estimating the standard error - the Wald method. For the one sample binomial confidence interval the Clopper-Pearson exact method has been regarded as definitive as it eliminates both overshoot and zero width intervals. The Clopper-Pearson exact method is the most conservative and is unquestionably a better alternative to the Wald method. Other viable alternatives include Wilson's Score, the Agresti-Coull method, and the Borkowf …
Beta-Weibull Distribution: Some Properties And Applications To Censored Data, Carl Lee, Felix Famoye, Olugbenga Olumolade
Beta-Weibull Distribution: Some Properties And Applications To Censored Data, Carl Lee, Felix Famoye, Olugbenga Olumolade
Journal of Modern Applied Statistical Methods
Some properties of a four-parameter beta-Weibull distribution are discussed. The beta-Weibull distribution is shown to have bathtub, unimodal, increasing, and decreasing hazard functions. The distribution is applied to censored data sets on bus-motor failures and a censored data set on head-and-neck-cancer clinical trial. A simulation is conducted to compare the beta-Weibull distribution with the exponentiated Weibull distribution.
On The Product Of Maxwell And Rice Random Variables, M. Shakil, B. M. Golam Kibria
On The Product Of Maxwell And Rice Random Variables, M. Shakil, B. M. Golam Kibria
Journal of Modern Applied Statistical Methods
The distributions of the product of independent random variables arise in many applied problems. These have been extensively studied by many researchers. In this paper, the exact distributions of the product |XY| have been derived when X and Y are Maxwell and Rice random variables respectively, and are distributed independently of each other. The associated cdfs, pdfs, and kth moments have been given.
Optimal Lp-Metric For Minimizing Powered Deviations In Regression, Stan Lipovetsky
Optimal Lp-Metric For Minimizing Powered Deviations In Regression, Stan Lipovetsky
Journal of Modern Applied Statistical Methods
Minimizations by least squares or by least absolute deviations are well known criteria in regression modeling. In this work the criterion of generalized mean by powered deviations is suggested. If the parameter of the generalized mean equals one or two, the fitting corresponds to the least absolute or the least squared deviations, respectively. Varying the power parameter yields an optimum value for the objective with a minimum possible residual error. Estimation of a most favorable value of the generalized mean parameter shows that it almost does not depend on data. The optimal power always occurs to be close to 1.7, …
A Spline-Based Lack-Of-Fit Test For Independent Variable Effect, Chin-Shang Li, Wanzhu Tu
A Spline-Based Lack-Of-Fit Test For Independent Variable Effect, Chin-Shang Li, Wanzhu Tu
Journal of Modern Applied Statistical Methods
In regression analysis of count data, independent variables are often modeled by their linear effects under the assumption of log-linearity. In reality, the validity of such an assumption is rarely tested, and its use is at times unjustifiable. A lack-of-fit test is proposed for the adequacy of a postulated functional form of an independent variable within the framework of semiparametric Poisson regression models based on penalized splines. It offers added flexibility in accommodating the potentially non-loglinear effect of the independent variable. A likelihood ratio test is constructed for the adequacy of the postulated parametric form, for example log-linearity, of the …
Practical Unit-Root Analysis Using Information Criteria: Simulation Evidence, Kosei Fukuda
Practical Unit-Root Analysis Using Information Criteria: Simulation Evidence, Kosei Fukuda
Journal of Modern Applied Statistical Methods
The information-criterion-based model selection method for detecting a unit root is proposed. The simulation results suggest that the performances of the proposed method are usually comparable to and sometimes better than those of the conventional unit-root tests. The advantages of the proposed method in practical applications are also discussed.